Analyze hierarchical assumptions or processes models statistical. Medical search. Frequent questions

PyClone implements four advances in its statistic model that were tested on simulated datasets : Beta-binomial Emission Densities are used by PyClone and are more effective than binomial models used by previous tools. (wikipedia.org)
Beta-binomial emission densities more accurately model input datasets that have more variance in allelic prevalence measurements. (wikipedia.org)
The course consists of a mixture of lectures and computer exercises to cover not only the theoretical background, but also provides practical experience with analyzing real ESM datasets. (wvbauer.com)

To this end, in the second chapter, we focus on hierarchical non parametric bayesian methods. (unibo.it)
Further, the module will devote time to specific applications, such as repeated measures (panel data analysis) or non-linear models, and the Bayesian approach to multilevel analysis. (eaps.nl)
Starting from simple modelling of individual growth curves, a Bayesian hierarchical model can be built with variable selection indicators for inferring pairs of genes that genetically interact. (lu.se)
As a result, Bayesian concepts and models are nearly always explained using Frequentist language. (lu.se)
It is probably too late to change statistical terminology, but appreciating the friction created by using Frequentist terms in Bayesian contexts can help to avoid mistakes in both design and interpretation. (lu.se)

Our group of scientists have PhDs in fields including psychology, marketing, and cognitive science, with domain knowledge in topics including decision making, motivation, and learning, methodological capabilities in experimental and quasi-experimental design, and statistical prowess in areas such as hierarchical modeling and causal inference approaches. (uber.com)
We briefly present the causal inference framework known as the Rubin causal model [ 3 , 5 ]. (biomedcentral.com)

Progress has been made for measuring variant allele frequency with deep sequencing data but statistical approaches to cluster mutations into biologically relevant groups remain underdeveloped. (wikipedia.org)
24.05.2019 (Dr. Hans Niederhausen) A statistical model of the IceCube detection process Building a Monte Carlo Simulation to generate pseudo-IceCube data. (tum.de)
After successful completion of the module the students will be able to analyze data using state of the art statistical and machine learning techniques. (tum.de)
These data provide important information that can be incorporated into risk models for ASFV transmission. (cdc.gov)
Matteuzzi, Tommaso (2021) Statistical and network dynamics approaches to cancer genomics data analytics , [Dissertation thesis], Alma Mater Studiorum Università di Bologna. (unibo.it)
Latent topic models allow to model hidden structures in the data and fit well with the hypothesis that cancer mutations impact specific gene groups in different proportions. (unibo.it)
The data was analyzed using Minitab, but many other statistical software programs can help perform this analysis. (isixsigma.com)
The procedures within IBM SPSS Statistics Base will enable you to get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of statistical and analytic procedures to help clarify relationships between variables, create clusters, identify trends and make predictions. (studentdiscounts.com)
This evolution is due to continued improvements in modeling capabilities and to a marked increase in available air-monitoring data for many pollutants. (nationalacademies.org)
The committee considers that the exposure assessment methods used in the analysis for the HD engine and diesel-fuel rule represent an appropriate and reasonably thorough application of available data and models. (nationalacademies.org)
Several chapters also introduce statistical methods and procedures to allow readers to analyze behavioral data. (peterlang.com)
It will cover theoretical fundamentals of the multilevel approach to the data and show potential applications, paying particular attention to the solid understanding of key concepts (such as levels, fixed and random coefficients, variability or shrinkage), reasonable approach to model building, and interpretation of the results. (eaps.nl)
You will also examine observation schemes, including censoring and truncation, which play a vital role in analyzing event data. (eaps.nl)
Journal of Data Analysis and Information Processing , 3 , 63-71. (scirp.org)
Dimensionality reduction Dimensionality reduction can be a helpful method for exploratory data analysis as well as modeling (feature engineering). (githubusercontent.com)
The relationship between data points is saved as a directed graph model where most points are not connected. (githubusercontent.com)
The company might collect data on customers over some time period, in order to model each customer's time to cancellation as a function of demographics or other predictors. (githubusercontent.com)
By assessing thoughts, emotions, perceptions, and behaviors repeatedly and 'in the moment', we can gain deeper and more valid insights into individual differences and processes of change and examine their relationship to contextual variables (instead of having to rely on cross-sectional data and/or data that is possibly distorted by recall biases). (wvbauer.com)
Instead, multilevel (mixed-effects) models are typically the method of choice for the analysis for such data. (wvbauer.com)
The purpose of this course is to describe how intensive longitudinal data can be analyzed with appropriate mixed-effects models. (wvbauer.com)
After a brief introduction to ESM (and related methods) and the data structures that arise from studies using such data collection techniques, we will examine models that can account for the multilevel/hierarchical structure of the data (i.e., repeated observations nested within individuals). (wvbauer.com)
During this period, you would be surprised to know how little ecology I have actually done and how much time has been devoted to data processing! (oregonstate.edu)
I compiled several million GPS trackline positions, processed hundreds of marine mammal observations, wrote several thousand lines of R code, downloaded and extracted a couple Gb of environmental data… before finally reaching the modeling phase of the OPAL project. (oregonstate.edu)
While the previous steps of the project were pretty much devoid of ecological reasoning, the literature homework now comes in handy to guide my choices regarding habitat use models, such as selecting environmental predictors of whale occurrence, deciding on what seasons should be modeled, and choosing the spatio-temporal scale at which the data should be aggregated. (oregonstate.edu)
However, several conceptual limitations remain, mainly in regard to the data generation process under which the selected RCTs rise. (biomedcentral.com)
Although all identified methodologies provide valid causal estimates, there are limitations in the assumptions regarding the data generation process and sampling of the potential RCTs to be included in the meta-analysis which pose challenges to the interpretation and scientific relevance of the identified causal effects. (biomedcentral.com)
So it is common to perform and report some tests of the null hypothesis that this process did indeed generate the data. (columbia.edu)
This CRAN Task View contains a list of packages that can be used for finding groups in data and modeling unobserved cross-sectional heterogeneity. (howtolearnalanguage.info)
Package genieclust implements a fast hierarchical clustering algorithm with a linkage criterion which is a variant of the single linkage method combining it with the Gini inequality measure to robustify the linkage method while retaining computational efficiency to allow for the use of larger data sets. (howtolearnalanguage.info)
Package idendr0 allows to interactively explore hierarchical clustering dendrograms and the clustered data. (howtolearnalanguage.info)
Package ClusterR implements k-means, mini-batch-kmeans, k-medoids, affinity propagation clustering and Gaussian mixture models with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. (howtolearnalanguage.info)
Individuals are usually part of a group having a thorough understanding of the methodology and measurement processes that have yielded the data to be evaluated, as well as the necessary expertise to identify potential sources of uncertainty in reported measurements for the assessment of the quality of measurement results. (degruyter.com)
These groups may also include experts such as statisticians and data scientists involved in the data evaluation process. (degruyter.com)
Statistical models are significant for u nderstand ing and predicting complex data. (analyticsvidhya.com)
Statistical models can be used to better understand this kind of data, generate meaningful insights, and make predictions that help make critical decisions. (analyticsvidhya.com)
These models are mathematical representations of data behavior and can be used to predict future values. (analyticsvidhya.com)
From simple autoregressive models to more complex integrated moving average models, this model offers a variety of options for analyzing and forecasting time series data. (analyticsvidhya.com)
Analyzing this data allows you to identify patterns, trends, and relationships that help predict future value. (analyticsvidhya.com)
It assumes that the underlying process generating the data is a linear combination of past observations. (analyticsvidhya.com)
AR models are beneficial for modeling univariate time series data, aiming to predict future values based on past observations. (analyticsvidhya.com)
The model is trained on historical data, and the coefficients are determined by minimizing the difference between the predicted and actual values. (analyticsvidhya.com)
The model can then forecast future values of the time series data. (analyticsvidhya.com)
We build the time series of optimal realized portfolio weights from high-frequency data and we suggest a novel Dynamic Conditional Weights (DCW) model for their dynamics. (academic-quant-news.com)
Using data on 17 listed public banks from Russia over the period 2008 to 2016, we analyze whether international oil prices affect the bank stability in an oil-dependent country. (academic-quant-news.com)
Present technology and computer power allow building and processing large collections of these data types. (researchgate.net)
Most currently available integrative analytic tools pertain to pairing omics data and focus on between-data source relationships, making strong assumptions about within-data source architectures. (researchgate.net)
A limited number of initiatives exist aiming to find the most optimal ways to analyze multiple, possibly related, omics databases, and fully acknowledge the specific characteristics of each data type. (researchgate.net)
SYSTAT is a powerful statistical software that has every statistical procedure you need to carry out efficient statistical analysis of your data. (statcon.de)
If you are a statistically-savvy user, you might prefer to use its intuitive command language, and analyze your data swiftly and with ease. (statcon.de)
In either case, you can exploit its staggering range of powerful techniques to analyze many types of data to answer many types of questions. (statcon.de)
You can carry out very comprehensive analysis of univariate and multivariate data based on linear, general linear, and mixed linear models. (statcon.de)
Various supervised and unsupervised data mining methods for analyzing the produced high- dimensional data are discussed. (lu.se)
The processed data consists of tens of thousands of growth curves with a complex hierarchical structure requiring sophisticated statistical modelling of genetic independence, genetic interaction (epistasis), and variation at multiple levels of the hierarchy. (lu.se)
In the absence of quantitative data in the human, this process is often dependent upon the use of animal and in vitro data to estimate human response. (cdc.gov)
PBPK models are effective tools for integrating diverse dose-response and mechanistic data in order to more accurately predict human risk. (cdc.gov)
Yet, for these models to be useful and trustworthy in performing the necessary extrapolations (spe- cies, doses, exposure scenarios), they must be thoughtfully constructed in accordance with known biology and pharmacokinetics, doc- umented in a form that is transparent to risk assessors, and shown to be robust using diverse and appropriate data. (cdc.gov)
Based on the behavior of the data, a mathematical assessment is the assumption that the toxic effects in a par- model is selected which possesses a sufficient number of ticular tissue can be related in some way to the concentra- compartments (and therefore parameters) to describe the tion time course of an active form of the substance in that data. (cdc.gov)
The advantage of this modeling approach is that there is no limitation to fitting the model to the experimen- * tal data. (cdc.gov)
Since the model parameters do not possess any intrinsic meaning, they can be freely varied to obtain the best possible fit, and different parameter values can be used for each data set in a related series of experiments. (cdc.gov)

PyClone is a software that implements a Hierarchical Bayes statistical model to estimate cellular frequency patterns of mutations in a population of cancer cells using observed alternate allele frequencies, copy number, and loss of heterozygosity (LOH) information. (wikipedia.org)
PyClone is a hierarchical Bayes statistical model that uses measurements of allele frequency and allele specific copy numbers to estimate the proportion of tumor cells harboring a mutation. (wikipedia.org)

This is a book about communication behavior: how we conceptualize it, observe it, measure it, and analyze it. (peterlang.com)
RFM analysis is a marketing technique used for analyzing customer behavior such as how recently a customer has purchased (recency), how often the customer purchases (frequency), and how much the customer spends (monetary). (scirp.org)
The variables of attitude, subjective norms, behavioral control, and intention to comply with paying explained the behavior of Bank X customers to comply with paying mortgages by 88.32%, while the remaining 11.68% was explained by variables outside the model. (frontiersin.org)
Thus, we show how measuring brain activity can deliver insights into how notifications are processed, at a finer granularity than can be afforded by behavior alone. (researchgate.net)
Pauline Kergus uses artificial intelligence to model the thermal behavior of buildings. (lu.se)
In order to explore this feature, it is important to model building's thermal behavior in order to enable the use of demand-side management control strategies. (lu.se)

In this thesis we focus on some statistical and physical methods which attempts to tackle the problem of cancer genetic heterogeneity and its relationship to higher level biological properties. (unibo.it)
and analyze covariance with up to 10 methods. (studentdiscounts.com)
As in all other stages of the benefits analysis, the assumptions and methods used in the exposure assessment should be well-justified and clearly described, with careful attention paid to assessing and communicating key sources of uncertainty. (nationalacademies.org)
In this five-step approach, starting with single detection channels and ending with a three-out-of-three model comprised of three independent dual-channel modules and a voter, we exemplify a probabilistic assessment, using a combination of statistical methods and parametric stochastic model checking. (sigplan.org)
Although state-of-the-art methods show promising results for network dismantling, we take one step back and analyze the implicit assumption these network dismantling algorithms have. (hindawi.com)
Survival analysis (ISL Chapter 11) - Survival analysis is a class of statistical methods that analyze time-to-events. (githubusercontent.com)
Additional time will also be devoted to issues such as model selection, model comparison, and testing (e.g., estimation methods, Wald-type tests, likelihood ratio tests, information criteria). (wvbauer.com)
Statistical methods that can be used to deal with these problems are using cluster integration and path analysis [ 3 ]. (frontiersin.org)
Package dynamicTreeCut contains methods for detection of clusters in hierarchical clustering dendrograms. (howtolearnalanguage.info)
To cope with the increasing amount of digital music, one requires computational methods and tools that allow users to find, organize, analyze, and interact with music - topics that are central to the research field known as Music Information Retrieval (MIR). (dagstuhl.de)
This Dagstuhl Seminar is devoted to a branch of MIR that is of particular importance: processing melodic voices using computational methods. (dagstuhl.de)
A thorough understanding of the underlying assumptions of integrative methods is needed to draw sound conclusions afterwards. (researchgate.net)
It can compute statistical methods up to 10 times faster than older versions on most problems. (statcon.de)
This tutorial reviews these methods to guide researchers in answering the following questions: When I analyze mean differences in factorial designs, where can I find the effects of central interest, and what can I learn about their effect sizes? (lu.se)
Methods: We document the actual experience of type 2 OPV (OPV2) cessation and reconsider prior modeling assumptions related to OPV restart. (cdc.gov)

Drawing upon institutional theory and resource-based view theory, the current study proposes a theoretical model linking the institutional pressures and resources (workforce skills) in context to the apparel industry of Bangladesh.Design/methodology/approachThis study adopts a qualitative approach involving 20 semi-structured interviews, followed by thematic analysis using NVivo 12 software. (deepdyve.com)
for example, at consultancies, behavioral scientists may focus exclusively on applying domain expertise, and in other organizations, individuals trained in behavioral science may focus on methodology and statistics, running and analyzing experiments or building surveys. (uber.com)
We propose and extend a qualitative, complex systems methodology from cognitive engineering, known as the abstraction hierarchy , to model how potential interventions that could be carried out by social media platforms might impact social equality. (springeropen.com)
It provides you with features from the most elementary descriptive statistics to very advanced statistical methodology based on sophisticated algorithms. (statcon.de)

Furthermore, RFM model mainly used as an input variable for K-means clustering and distortion curve used to identify optimal number of initial clusters. (scirp.org)
MOTIVATION: Hierarchical clustering of microbial genotypes has the limitation that hierarchical clusters are nested, where smaller groups of related isolates exist within larger groups that get progressively larger as relationships become increasingly distant. (cdc.gov)

A general overview of air-quality modeling and its role in benefits analysis follows. (nationalacademies.org)
Finally, the concentration-response section explores the sources and selection of these functions and issues associated with the existence of thresholds, analysis of population subgroups, and assumptions regarding effects lags (the temporal relationship between changes in exposure and resulting changes in health outcomes). (nationalacademies.org)
Symbolic reachability analysis using rewriting with Satisfiability Modulo Theories (SMT) has been used to model different systems, including a variety of security protocols. (sigplan.org)
The course will also begin to explore how the theory of survival analysis can be developed in terms of population models. (eaps.nl)
This module will teach you a basic conceptual understanding of the multilevel (also known as mixed or hierarchical) analysis. (eaps.nl)
By building self-serve sample size and statistical analysis calculators with Shiny and an R package, we empowered non-technical teams to leverage our expertise. (uber.com)
Finally, we will cover some miscellaneous topics such as centering of predictors, using lagged predictors, computing R^2-type measures, power analysis, and some further model extensions. (wvbauer.com)
I will outline how probabilistic models are traditionally used to solve this problem, and then present a new approach that uses a mathematical analysis of the effects of cultural transmission as the basis for an experimental method that magnifies the effects of inductive biases. (umd.edu)
His research focuses on text mining (opinion mining, text classification/summarization), Information Retrieval, Dialogue System (speech-act analysis, dialogue modeling). (umd.edu)
Gradient fields are likely to be an universal class of models combining probability, analysis and physics in the study of critical phenomena. (tue.nl)
Package pvclust assesses the uncertainty in hierarchical cluster analysis. (howtolearnalanguage.info)
As one main objective of the seminar, we want to critically review the state of the art of computational approaches to various MIR tasks related to melody processing including pitch estimation, source separation, instrument recognition, singing voice analysis and synthesis, and performance analysis (timbre, intonation, expression). (dagstuhl.de)
This article reviews various statistical models commonly used in time-series analysis, their strengths and weaknesses, and how to implement them in real-world applications. (analyticsvidhya.com)
Familiarity with various statistical models used for time-series analysis. (analyticsvidhya.com)
The statistical model is one of the essential tools in time-series analysis. (analyticsvidhya.com)
There are various types of statistical models developed for time-series analysis. (analyticsvidhya.com)
The autoregressive model, Moving average model, Autoregressive model with an integrated moving average model, Vector autoregression model, Variation in statistical models, and hierarchical time series model each have their strengths and weaknesses, and choosing the suitab le model depends on the characteri stics of the time series and the purpose of your analysis. (analyticsvidhya.com)
Autoregressive (AR) models are popular and influential time-series analysis and forecasting tools. (analyticsvidhya.com)
I recommend you do it in R since it is widely used for statistical analysis, but here I used Python since everyone is familiar with it. (analyticsvidhya.com)
The statistical analysis using multiple linear regression showed that hardiness is a personality trait that explains burnout, presenting different predictive models for each sample. (bvsalud.org)
Wavenumbers were selected by genetic algorithm (GA) according to their diagnostic performance as assessed by a partial least squares discriminant analysis (PLS-DA) model using a training and a validation set to differentiate severe stages of fibrosis from mild or moderate ones. (bvsalud.org)

Package hclust1d provides univariate agglomerative hierarchical clustering for a comprehensive choice of linkage functions based on an O ( n log ( n )) algorithm implemented in C++. (howtolearnalanguage.info)

I will argue that probabilistic models of cognition provide a framework that can facilitate this project, giving a transparent characterization of the inductive biases of ideal learners. (umd.edu)

This allows us to develop the first model checking algorithm for STL that can guarantee the correctness of STL up to given bound parameters, and a pioneering bounded model checker for hybrid systems, called STLmc. (sigplan.org)

In this same range there is also an acceptable agreement among the various abundances, once theoretical uncertainties as well as statistical and systematic errors are accounted for [ 6 ]. (hindawi.com)

Recently, it has also been used to analyze systems modeled using Parametric Timed Automata (PTAs). (sigplan.org)

The conceptual framework of this leadership model is that leaders who practice certain leadership styles, according to subordinates' expectations of gender stereotypes, could influence the subordinate commitment to superior. (regent.edu)
The conceptual framework of the leadership model is that leaders who practice Supportive Follower Commitment to Superior (DV) Participative Control Variables Age, Gender, Tenure, Education Directive H1 Achievement-oriented H2 Leader Gender (Mo) certain leadership styles, according to subordinates' expectations of gender stereotypes, could influence the subordinate commitment to superior. (regent.edu)
We recently described a statistical framework (Method A) for dissecting hierarchical trees that attempts to minimize investigator bias. (cdc.gov)
Here, we apply a modified version of that framework (Method B) to a hierarchical tree constructed from 2111 genotypes of the foodborne parasite Cyclospora, including 639 genotypes linked to epidemiologically defined outbreaks. (cdc.gov)
Source code (Method B) and instructions for its use are available here: https://github.com/Joel-Barratt/Hierarchical-tree-dissection-framework. (cdc.gov)

The aim of this course is to present the mathematical theory underlying population growth (often known as stable population theory) and explore two approaches to this theory: the classical, continuous-time age-classified approach based on the life table, and the more recent discrete-time, age- or stage-classified approach using matrix models. (eaps.nl)
they include novel methodological and statistical approaches to handling complex issues, like not always being able to run randomized controlled experiments. (uber.com)
Examples are provided to illustrate approaches for selecting a ``preferred'' model from multiple alternatives. (cdc.gov)

This study used the path-goal theory and sex-role congruency hypothesis as the foundation for this model. (regent.edu)

In this series of three modules, you will explore event history models, powerful statistical techniques designed to analyze the timing of various events over time, such as death, marriage, childbirth, retirement, and more. (eaps.nl)

These questions were selected in recognition of the creative and radical rethinking of psychoanalytic epistemology, theory, practice, education, and ethics during the past quarter of a century, a rethinking that reflects the rapidly changing assumptions underlying our current socio-cultural times. (academyanalyticarts.org)
During these years, we have witnessed the application of the standards of the health-care model and the principles of industrialization and commercialization to psychoanalysis as theory, practice, and education. (academyanalyticarts.org)

In this paper, we study robustness of complex networks under a realistic assumption that the cost of removing a node is not constant but rather proportional to the degree of a node or equivalently to the number of removed links a removal action produces. (hindawi.com)
Artificial intelligence (AI) is the mimicking of human thought and cognitive processes to solve complex problems automatically. (stottlerhenke.com)

Package protoclust implements a form of hierarchical clustering that associates a prototypical element with each interior node of the dendrogram. (howtolearnalanguage.info)

In an epidemiologic context, investigators must dissect hierarchical trees into discrete groupings that are epidemiologically meaningful. (cdc.gov)

Several aspects of modeling under Knightian Uncertainty are considered and analyzed. (academic-quant-news.com)
To reduce the uncertainty inherent in such extrapolations, there has been considerable interest in the development of physiologically based pharmacokinetic (PBPK) models of toxic chemicals for application in quantitative risk assessments. (cdc.gov)
This paper describes the process of PBPK model development and highlights issues related to the specification of model structure and parameters, model eval- uation, and consideration of uncertainty. (cdc.gov)

Using multiple different statistical models, I analyse the impact of gatekeeping on bypassing in 298 regions across nineteen EU Member States. (lu.se)
Single cell sequencing combined with deep learning enables him to analyse and model differences between cells. (lu.se)

The goal is to use the obtained models to control power consumption and to build predictive models for production planning. (lu.se)

Therefore the only reason to employ such a test must be to examine the process of randomization itself. (columbia.edu)

The participants of this study are students in course of introduction to education, and the research instruments applied are rough set, grey structural modeling (GSM), and matrix based-structural modeling (MSM). (scirp.org)
A brief introduction to high throughput technologies for measuring and analyzing gene expression is given. (lu.se)

Percolation is the simplest process showing a continuous phase transition, scale invariance, fractal structure, and universality and it is described with just a single parameter, that is, the probability of removing a node or edge. (hindawi.com)
We adopt a functional analytic approach which require neither specific assumptions on the class of priors $\mathcal{P}$ nor on the structure of the state space. (academic-quant-news.com)
However, since the compartmental model does not possess a physiological structure, it is often not possible to incorporate a description of these non-linear biochemi- cal processes in a biologically appropriate context. (cdc.gov)

Applying mathematical models to combine the development of science and technology in educational research activities conducive to the development, conversion and modernization as well as receiving the evaluation and supervision from community on education. (scirp.org)
They emerge in the following three areas, effective models for random interfaces, Gaussian Free Fields (scaling limits), and mathematical models for the Cauchy-Born rule of materials, i.e., a microscopic approach to nonlinear elasticity. (tue.nl)

The Spatio-Temporal Prediction (STP) technique can fit linear models for measurements taken over time at locations in 2D and 3D space. (studentdiscounts.com)
Pauline's research focuses on building such models through a physics-informed learning based approach, taking advantage of the available measurements. (lu.se)

Higher accuracy in modeling variance in allelic prevalence translates to a higher confidence in the clusterings outputted by PyClone. (wikipedia.org)

In many disciplines, factorial designs are analyzed with ANOVAs and interpreted in terms of p values and standardized effect sizes (e.g., partial eta squared). (lu.se)

Under the assumption of the random network models, they found that the optimal cost for fragmentation and strengthening process consists out of the list of priorities of degrees for removed nodes which is independent of the network's degree distribution. (hindawi.com)

The statistical approach for assessing the residual risk of misclassifications in convolutional neural networks and conventional image processing software suggests that high confidence can be placed into the safety-critical obstacle detection function, even though its implementation involves realistic machine learning uncertainties. (sigplan.org)
The architecture of one software agent will permit interactions among most of the following components (depending on the agent's goals): perceptors, effectors, communication channels, a state model, a model-based reasoner, a planner/scheduler, a reactive execution monitor, its reflexes (which enable the agent to react immediately to changes in its environment that it can't wait on the planner to deal with), and its goals. (stottlerhenke.com)
In this work, the visco-hyperelastic constitutive model of the tendon implemented through the use of three-parameter Mooney-Rivlin form and sixty-four-parameter Prony series were firstly analyzed using ANSYS FE software. (iospress.com)

We show that our developed MIM MP35N and CCM … materials and treatment processes are biocompatible, and that both the MIM and wrought samples, although somewhat different in microstructure and surface, do not show significant differences in biocompatibility. (iospress.com)

However, model checking techniques for hybrid systems have been primarily limited to invariant and reachability properties. (sigplan.org)
Different techniques mimic the different ways that people think and reason (see Case-based Reasoning and Model-based Reasoning for example). (stottlerhenke.com)

We illustrate that, under certain not unreasonable assumptions, the resulting hazard rate becomes acceptable for the discussed application setting. (sigplan.org)

It has been an unspoken assumption that the law is made by humans for humans. (firstmonday.org)
That assumption no longer holds: The information, communication, and culture that are the subject of information law and policy increasingly flow between machines, or between machines and humans. (firstmonday.org)
As it has a cellular organisation that has much in common with the cells of humans, it is often used as a model organism for studying genetics. (lu.se)

The inflationary cosmological model excludes the possibility of a fine tuned initial condition, and since we do not know any other way to construct a consistent cosmology without inflation, this is a strong veto. (hindawi.com)

Issues related to contextual effects, within-between models, and cross-level interactions will also be discussed. (eaps.nl)
We will therefore take a look at appropriate models for such outcomes (e.g., mixed-effects logistic regression). (wvbauer.com)
Therefore, in the first part, we focus on the published methodologies that address the identification and estimation of causal effects derived from meta-analyses of RCTs along with the underlying assumptions. (biomedcentral.com)
Because the biocompatibility properties resulting from this new MIM cobalt alloy process are not well understood, we conducted tests to evaluate cytotoxicity (in vitro), hemolysis (in vitro), toxicity effects (in vivo), tissue irritation level (in vivo), and pyrogenicity count (in vitro) on such samples. (iospress.com)
We review its motivations and the basic ingredients and describe subclasses of effects, like those of lepton flavours, spectator processes, scatterings, finite temperature corrections, the role of the heavier sterile neutrinos, and quantum corrections. (hindawi.com)
When the different cohorts were analyzed separately, the results suggest that life satisfaction might be related to the conjectural and historical factors represented by period effects. (bvsalud.org)

AHP and DEMATEL was used to analyze the relationship among the skills and subskills and to rank them based on their importance.FindingsThe qualitative survey resulted in skills such as "Cognitive, Emotional and Behavioural skills" and subskills of them. (deepdyve.com)

This centralized team set out to apply its methodological capabilities in experimental and quasi-experimental design and statistical expertise in areas such as hierarchical modeling to enhancing our products for the benefit of riders and driver-partners in diverse regions. (uber.com)

SYSTAT continues the legacy of Dr. Leland Wilkinson, who created SYSTAT over twenty years ago and who pioneered programmable graphs for statistical visualization. (statcon.de)

Use the Temporal Causal Modeling (TCM) technique to uncover hidden causal relationships among large numbers of time series and automatically determine the best predictors. (studentdiscounts.com)

DOEs help improve processes in a quantum fashion, and is an approach for effectively and efficiently exploring the cause and effect relationship between numerous process variables ( X s) and the output or process performance variable ( Y ). (isixsigma.com)
With our domain expertise, we provide insight into topics like how to increase customer satisfaction, and with our methodological and statistical expertise, we provide answers to questions like how to quantify the business impact of customer satisfaction (with mediation modeling being one such approach). (uber.com)

For the case when it is possible to attack or remove links, we propose a simple and efficient edge removal strategy named Hierarchical Power Iterative Normalized cut (HPI-Ncut). (hindawi.com)

The emphasis in the course will be on models with quantitative/continuous outcomes. (wvbauer.com)

If a particular model is unable to describe the Corresponding author. (cdc.gov)

Second, we aim at triggering interdisciplinary discussions that leverage insights from fields such as audio processing, machine learning, music perception, music theory, and information retrieval. (dagstuhl.de)

A viable area for statistical modeling is time-series anal ysis. (analyticsvidhya.com)
This model describes a time series as a linear combination of past values commonly used to predict future trends. (analyticsvidhya.com)
The main advantage of AR models is the ability to understand time series dynamics by calculating past values. (analyticsvidhya.com)

If you are a novice statistical user, you can work with its friendly and simple menu-dialog. (statcon.de)

In this seminar we want to discuss how to detect, extract, and analyze melodic voices as they occur in recorded performances of a piece of music. (dagstuhl.de)

Anatomy1

Organisms1

Chemicals and Drugs4

Analytical, Diagnostic and Therapeutic Techniques and Equipment55

Psychiatry and Psychology6

Phenomena and Processes34

Disciplines and Occupations11

Anthropology, Education, Sociology and Social Phenomena4

Humanities2

Information Science16

Health Care49

Geographicals2

Datasets3

Bayesian5

Causal inference2

Data59

Bayes2

Behavior6

Methods15

Methodology4

Clusters2

Analysis21

Univariate1

Cognition1

Algorithm1

Theoretical1

Parametric1

Framework5

Approaches3

Hypothesis1

Powerful statistical1

Practice2

Complex2

Implements1

Discrete1

Uncertainty3

Analyse2

Predictive models1

Examine1

Introduction2

Structure3

Mathematical models2

Measurements2

Variance1

Partial1

Consists1

Software3

Differences1

Techniques2

Illustrate1

Humans3

Cosmological1

Effects6

Cognitive1

Capabilities1

Graphs1

Predictors1

Approach2

Power1

Continuous1

Describe1

Insights1

Time3

Simple1

Occur1