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

Statistical inference: Basic principles, estimation and testing in the one- and two-sample cases (parametric and non-parametric). (up.ac.za)
Statistical inference in the simple regression case. (up.ac.za)
We briefly present the causal inference framework known as the Rubin causal model [ 3 , 5 ]. (biomedcentral.com)
His research is in statistical machine learning, involving probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference algorithms for massive data. (nips.cc)
Crucially, Sparsey's code selection algorithm (CSA), used for both learning and inference, achieves this with a single pass over the weights for each successive item of a sequence, thus performing spatiotemporal pattern learning/inference with a number of steps that remains constant as the number of stored items increases. (brandeis.edu)
Constant-Time Probabilistic Learning & Inference in Hierarchical Sparse Distributed Representations , Invited Talk at the Neuro-Inspired Computational Elements ( NICE ) Workshop, Sandia Labs, Albuquerque, NM, Feb 2013. (brandeis.edu)

As a traditional statistical method, multivariate regression models depend on the assumption that the data accord with a given probability distribution [ 6 ]. (biomedcentral.com)
A similar analysis was done using a multivariate spatio-temporal model where the previous year's prevalence was included as a covariate. (jmir.org)
Finally, a hierarchical time-lagged multivariate spatio-temporal model was created to account for subnational trends in the data. (jmir.org)

The two effects further manifest in different aspects of RT distributions that can be captured by different components of the ex-Gaussian model using hierarchical Bayesian method. (springeropen.com)
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)

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, especially for Boolean models (for details see below) this essentially assumes that a large number of species is either on or off with probability 1, a very unrealistic assumption. (biorxiv.org)
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)
Gradient fields are likely to be an universal class of models combining probability, analysis and physics in the study of critical phenomena. (tue.nl)
We also discuss our approach as a radically new implementation of graphical probability modeling. (brandeis.edu)

Mass spectrometry-based proteomic and lipidomic analysis of CA1 hippocampus samples from 74 neurologically normal human donors, aged 66-104, was used in combination with multiple regression models and gene set enrichment analysis to identify age-dependent changes in the proteome and lipidome. (biomedcentral.com)
L1-regularized regression models were trained to predict prevalence rates from denormalized Google Trends indices. (jmir.org)

Ultimately, cancer genome evolution takes place at the single-cell level, and it is the cellular complexity and its dynamics that give rise to both intra- and inter-tumor heterogeneity. (biomedcentral.com)
Inspired by the work of evo-devo biologists, evo-devo complexity theorists look for processes of evolutionary creativity and developmental constraint in any autopoetic complex systems, at any scale. (evodevouniverse.com)

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)
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)
An overview of GWAS experimental methodology, confounding variables that must be controlled, statistical techniques for pre- and post-processing, limitations and applications can be found in [ 28 ], while a discussion of the clinical implications of GWAS results can be found in [ 15 ]. (biomedcentral.com)
Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. (cdc.gov)

Multiple statistical analysis: Bivariate data sets: Curve fitting (linear and non-linear), growth curves. (up.ac.za)
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 particular, we revisit and discuss the "sufficientness" postulate for the two parameter Poisson-Dirichlet prior within the more general framework of Gibbs-type priors and their hierarchical generalizations. (projecteuclid.org)
We implement this concept in ACTIONet, a comprehensive framework that combines archetypal analysis and manifold learning to provide a ready-to-use analytical approach for multiresolution single-cell state characterization. (nature.com)
This model was modified to create a time-lagged regression analysis framework. (jmir.org)
The model trained on US data was, then, applied in a transfer learning framework to Canada. (jmir.org)
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)

In particular, it is increasingly recognized that commonly used ODE models are not able to capture the stochastic nature of many cellular processes. (biorxiv.org)
Often this inability comes from the fact that ODE models replace stochastic dynamics by some average. (biorxiv.org)
In contrast, such stochastic effects are taken into account by models based on the chemical master equation (CME). (biorxiv.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)
We review the current approaches to building process models on spheres, including the differential operator, the stochastic partial differential equation, the kernel convolution, and the deformation approaches. (projecteuclid.org)
To appear in Stochastic Processes and Their Applications. (warwick.ac.uk)

We claim that a basic disconnect between DL/ML and biology and the key to biological intelligence is that instead of FDR or localism, the brain uses sparse distributed representations (SDR), i.e., "cell assemblies", wherein items are represented by small sets of binary units, which may overlap, and where the pattern of overlaps embeds the similarity/statistical structure (generative model) of the domain. (brandeis.edu)
Sparsey™: Event recognition via deep hierarchical sparse distributed codes. (brandeis.edu)

Several chapters also introduce statistical methods and procedures to allow readers to analyze behavioral data. (peterlang.com)
Recently, it has also been used to analyze systems modeled using Parametric Timed Automata (PTAs). (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)
Recently, similar definition of the cost [ 29 ] was used to analyze fragmentation and strengthening process for a class of random network models. (hindawi.com)

The canonical assumptions of mainstream economics are these: Individuals seek to maximize satisfaction of preferences that are taken as given (exogenous). (democracyjournal.org)
The theory, Sparsey, was introduced 20 years ago as a canonical cortical circuit/algorithm model, but not elaborated as an alternative to PPC theories. (brandeis.edu)

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)
These models are typically obtained by a combination of expert and literature-driven knowledge as well as experimental data. (biorxiv.org)
These data provide important information that can be incorporated into risk models for ASFV transmission. (cdc.gov)
begingroup$ @Anony-Mousse, I read some material and later on come up with the following thought: $k-$means as a statistical model (rather than optimization method) assumes that there are k clusters underlying and the dispersion of the data are purely due to normal random noise with equal variance. (stackexchange.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)
Will the Final Data be a Single or a Composite Score? (peterlang.com)
Statistical models used in geophysical, environmental, and climate science applications must reflect the curvature of the spatial domain in global data. (projecteuclid.org)
Over the past few decades, statisticians have developed covariance models that capture the spatial and temporal behavior of these global data sets. (projecteuclid.org)
These groups may also include experts such as statisticians and data scientists involved in the data evaluation process. (degruyter.com)
J. Polzehl , K. Tabelow , Magnetic Resonance Brain Imaging: Modeling and Data Analysis using R, 2nd Revised Edition , Series: Use R! (wias-berlin.de)
This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. (wias-berlin.de)
and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. (wias-berlin.de)
It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. (wias-berlin.de)
The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. (wias-berlin.de)
The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. (wias-berlin.de)
For detecting genotype-phenotype association from case-control single nucleotide polymorphism (SNP) data, one class of methods relies on testing each genomic variant site individually. (biomedcentral.com)
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)
The data were primarily interpreted by regarding each tumor as a single population of cells with uniform character. (biomedcentral.com)
Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. (nature.com)
As the process of producing official health statistics for lifestyle diseases is slow, researchers have explored using Web search data as a proxy for lifestyle disease surveillance. (jmir.org)
After a rigorous keyword selection process, data from Google Trends were collected. (jmir.org)
Although our proposed models beat the baselines, we find the modeling of lifestyle diseases to be a challenging problem, one that requires an abundance of data as well as creative modeling strategies. (jmir.org)
The brain is also massively parallel, but uses only 20 watts and moreover, the forms of MP used in DL, model / data parallelism and shared parameters, are patently non-biological, suggesting DL's core principles do not emulate biological intelligence. (brandeis.edu)
Compared to the number of territories identified based on spot mapping (197), distance sampling analysis of transect survey data provided a more accurate estimate of the abundance of male Bobolinks (230, 95% CI: 187, 282) than N‐mixture models of transect (668, 95% CI: 332, 1342) and point‐count (337, 95% CI: 203, 559) data. (researchgate.net)
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)

While few economists endorse such an extreme interpretation of the gender wage gap, empirical research on the topic often takes the form of statistical models that ignore any measures of bargaining power other than unionization, and control for as many variables as possible-race, ethnicity, education, labor force experience, job tenure, hours of work, occupation, industry-in order to isolate the unexplained gender effect. (democracyjournal.org)
This literature review describes and characterizes the empirical research on MSF in PA processes or as a measurement tool, and proposes new and future research directions considering the gaps found. (bvsalud.org)

The majority of populations in nature are age structured, but most evolutionary theory was originally developed for models that assume discrete generations. (biorxiv.org)
In an epidemiologic context, investigators must dissect hierarchical trees into discrete groupings that are epidemiologically meaningful. (cdc.gov)

In my understanding, this method does NOT require ANY assumptions, i.e., give me a dataset and a pre-specified number of clusters, k, and I just apply this algorithm which minimizes the sum of squared errors (SSE), the within cluster squared error. (stackexchange.com)
begingroup$ I would say that the number of clusters is already quite an assumption. (stackexchange.com)
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)

In this talk, I introduce bounded model checking algorithms and tools for general STL properties of hybrid systems. (sigplan.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)

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)
We've previously described an SDR-based, extremely efficient, one-shot learning algorithm in which the primary operation is permament storage of experienced events based on single trials (episodic memory), but in which the generative model (semantic memory, classification) emerges automatically, and as a computationally free, in terms of time and power, side effect of the episodic storage process. (brandeis.edu)
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)

It is thus pivotal to understand how cognitive processes operate with concurrent actions. (springeropen.com)
In addition, physical action often occurs concurrently and parallelly with cognitive processes. (springeropen.com)
Rosenbaum, 2017 ), it is thus pivotal to understand how concurrent physical action affects the ongoing cognitive processes, such as attention. (springeropen.com)
Artificial intelligence (AI) is the mimicking of human thought and cognitive processes to solve complex problems automatically. (stottlerhenke.com)

Heterogeneity within a single cancer tumour can arise from single nucleotide polymorphism/variation (SNP/SNV) events, microsatellite shifts and instability, loss of heterozygosity (LOH), Copy number variation and karyotypic variations including chromosome structural aberrations and aneuploidy. (wikipedia.org)
The simplest type of variant site is a single nucleotide polymorphism (SNP), in which variants differ by a single base pair. (biomedcentral.com)

Beta-binomial emission densities more accurately model input datasets that have more variance in allelic prevalence measurements. (wikipedia.org)
Higher accuracy in modeling variance in allelic prevalence translates to a higher confidence in the clusterings outputted by PyClone. (wikipedia.org)
these evaluations also found Hill's model to be robust to skewed adult sex ratios and to modestly overdispersed variance in reproductive success. (biorxiv.org)

In the context of single-cell transcriptomic analysis, and particularly within frameworks aiming at characterizing the structure of underlying cell states, matrix decomposition techniques are among the most popular approaches 8 . (nature.com)
In the US context, our proposed models beat the performances of the prior work, as well as the trivial baselines. (jmir.org)
For the quantitative analyses, the highest utility of using Google Trends is in the context of transfer learning where low-resource countries could benefit from high-resource countries by using proxy models. (jmir.org)
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)

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)
Collectively, these results are good news for researchers as they demonstrate the robustness of Hill's model even to extreme repro0ductive scenarios. (biorxiv.org)
However, the models used in those evaluations assumed independence of reproduction and survival, which means that the robustness of Hill's model to temporal autocorrelation in reproduction and covariance of reproduction and survival has not been rigorously tested. (biorxiv.org)

Hill's model assumes stable age structure and constant abundance, and sensitivity to those assumptions has been evaluated previously. (biorxiv.org)
en Estimating the abundance and breeding success of territorial songbirds is challenging. (researchgate.net)
Our results suggest that additional studies to evaluate model‐based estimates of abundance with the best available information (e.g., from spot mapping of marked or unmarked populations and nest monitoring) would be useful to ensure that robust estimates are provided to support population estimates and conservation actions. (researchgate.net)

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)
Examples are provided to illustrate approaches for selecting a ``preferred'' model from multiple alternatives. (cdc.gov)

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)

Kriging-based spatial interpolation methods are geostatistical models with a rough spatial accuracy [ 6 ]. (biomedcentral.com)
Map Work Group to help guide application of geographic part of spatial statistical analyses (7). (cdc.gov)

We begin with a brief description and analysis of the mechanistic model, its influence on social sciences and on the way we perceive population health. (biomedcentral.com)
Mechanistic models are commonly used to acquire insights about the biochemical reaction networks that govern cellular processes inside a cell. (biorxiv.org)

Multiple regression and correlation: Fitting and testing of models. (up.ac.za)

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)
Overall, our study provides a benchmark for predicting SOC stock patterns at depth and emphasizes that terrestrial carbon cycle models should incorporate information on how the paleoclimate has influenced SOC stocks. (biomedcentral.com)

This Dagstuhl Seminar is devoted to a branch of MIR that is of particular importance: processing melodic voices using computational methods. (dagstuhl.de)
We evaluated our method using both datasets simulated from our model and datasets from a block model different from ours, and compared the performance with other methods. (biomedcentral.com)
Methods: We document the actual experience of type 2 OPV (OPV2) cessation and reconsider prior modeling assumptions related to OPV restart. (cdc.gov)

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)
Finally, future evo-devo models may require what [http://vcresearch.berkeley.edu/faculty/lucia-jacobs Lucia Jacobs] refers to as "cog-evo-devo" (Jacobs 2012), the recognition that both information and cognition evolve and develop, are causal agents in the dynamics of complex replicators, and are increasingly important in determining their future, via such mechanisms as collective ethics, empathy, and niche construction, as higher intelligence emerges. (evodevouniverse.com)

These processes are the dynamical and informational opposite of the predictable, information-conservative, convergent, unifying, and hierarchical processes of "development," which work to replicate and maintain that system. (evodevouniverse.com)

The word 'technologies' as used here refers to both technologies and to meta-technologies that is, to the technologies limited in the range of inputs, outputs, and processing steps that characterized the industrial era as well as to the meta-technologies of unlimited inputs, outputs, and processing steps that characterize the information society (Braman, in press). (firstmonday.org)

We demonstrate that a properly tuned conditional PF with 'local' MCMC moves proposed in Shestopaloff & Neal (2016) can outperform the standard conditional PF significantly when applied to high-dimensional state-space models. (warwick.ac.uk)

was calculated from the realized population pedigree and used to calculate N e in Hill's model, the result accurately predicted the rate of genetic drift in simulated populations. (biorxiv.org)

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)

As a result, the system requirements and specification of a functional prototype were verified and improved using the formal model of a mechanical ventilator. (sigplan.org)
Furthermore, a comparative analysis of the published literature supports a species-specific correlation between retinotopic location and functional feature processing across the parallel streams, the fundamental organizing scheme of the visual system originally defined based solely on distinct functional feature sensitivity across areas. (frontiersin.org)

This is analogous to the assumption of simple linear regression model. (stackexchange.com)
Together, these results provide behavioral evidence and a novel model for two dissociable cognitive mechanisms underlying the effects of simple muscle exertion on the ongoing visual search process on a moment-by-moment basis. (springeropen.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)
Within myeloid neoplasms, chronic myelomonocytic leukemia (CMML) represents an attractive disease model since it is characterized by both myelodysplastic and myeloproliferative features, while retaining a relatively simple clonal composition 3 . (nature.com)

Once an initial budget has been established, it is important to test its assumptions by employing a series of increasingly precise cost estimating techniques that coincide with further development of design and construction details. (wbdg.org)
That assumption no longer holds: The subject of information policy is increasingly flows between machines, machinic rather than social values play ever-more important roles in decision-making, and information policy for human society is being supplemented, supplanted, and superceded by machinic decision-making. (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)

Recent findings open the door to a new perspective on the encoding of visual space and other features by cortical circuits, one that emphasizes specialization of cortical circuits for processing different stimulus features in different regions of visual space. (frontiersin.org)

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)

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 approach is guided by partitioning the network into biological relevant subsets and thus avoids the use of single species basis functions that are known to give inaccurate results for biological systems. (biorxiv.org)
We use the proposed method to gain insight into the nature of asynchronous vs. synchronous updating in Boolean models and successfully simulate a 41 species apoptosis model on a standard desktop workstation. (biorxiv.org)
Although low-rank approximations have been used in the past - particularly in the quantum physics literature - our approach departs from traditional applications by exploiting the underlying structure of the network rather than reducing the equations to single species basis functions (orbitals in the language of quantum dynamics). (biorxiv.org)
In this paper, we review some nonparametric generalizations of Johnson's postulate for a class of nonparametric priors known as species sampling models. (projecteuclid.org)

Formative assessment practises or in-process evaluations of student performances have been welcomed with optimism in the Swedish educational sector (Vetenskapsrådet, 2015). (lu.se)

Once developed, these models are useful for interpola- tion and limited extrapolation of the concentration profiles which can be expected as experimental conditions are var- ied. (cdc.gov)

Monitoreamos 36 campos (254 ha) de heno de recolección tardía, pastizales restaurados y campos de cultivo en recuperación en el área de manejo de vida silvestre Luther Marsh y cuatro granjas en el sur de Ontario en Canadá durante 2018. (researchgate.net)

Find, evaluate, process, manage and present information resources for academic purposes using appropriate technology. (up.ac.za)

For each measure, a linear mixed effects model with dog ownership as a fixed effect, and a random effects structure of measurement point nested in participant nested in pair was used to assess the effect of dog ownership. (biomedcentral.com)
All-Payer Model for hospitals, which shifted the state's hospital payment structure from an all-payer hospital rate setting system to an all-payer global hospital budget that encompasses inpatient and outpatient hospital services. (who.int)

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

But the rise of theoretical and systems ecology and its models, including ecological energetics, panarchy, and ascendancy, can be viewed as supporting the idea that ecologies themselves both evolve and develop. (evodevouniverse.com)

It has been an unspoken assumption that the law is made by humans for humans. (firstmonday.org)

ACTIONet provides a robust, reproducible, and highly interpretable single-cell analysis platform that couples dominant pattern discovery with a corresponding structural representation of the cell state landscape. (nature.com)

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 implicit assumption that the cost of a removing action is equivalent for all nodes regardless of their importance or centrality in network is not a realistic one. (hindawi.com)
In his cross-relaxation as PricewaterhouseCoopers Global and US Advisory Leader for the Energy, Utility and Mining bar recordings, he met US dihedrals on website gap, single and AT mathematics function and gravitational and equivalent password. (sojars593.org)

He is a full professor at the Technical University of Munich, holding the chair 'Mathematical Modelling of Biological Systems', associate faculty at the Wellcome Trust Sanger Institute as well as adjunct faculty at the Northwestern University. (lu.se)

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)

This is a reason why the less computationally expensive ODE models are popular. (biorxiv.org)

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)

Therefore, it is essential to reduce the uncertainties associated with the estimation of SOC stocks and their driving factors to improve model parameter optimization, climate change feedback, and food security. (biomedcentral.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)

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

However, model checking techniques for hybrid systems have been primarily limited to invariant and reachability properties. (sigplan.org)
Random fields of gradients are a class of model systems arising in the studies of random interfaces, random geometry, field theory, and elasticity theory. (tue.nl)
g 32 of the NBER Macroeconomics Annual, obtained by Martin Eichenbaum and Jonathan A. Parker, makes six stable and short situations in main systems, and a rate shop by molecular IMF electric Research Olivier Blanchard on which cookies give free to making operational several models. (sojars593.org)
Although different in their system headings, each provides a hierarchical WBS by systems. (wbdg.org)

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)

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

Inference6

Multivariate3

Bayesian4

Spatio-temporal1

Probability4

Regression models2

Complexity2

Methodology4

Growth curves2

Framework7

Stochastic6

Sparse2

Analyze4

Canonical2

Data32

Empirical2

Discrete2

Clusters3

Algorithms1

Nonlinear1

Algorithm3

Cognitive processes4

Nucleotide polymorphism2

Variance3

Context4

Robustness3

Abundance3

Approaches2

Behavior2

Spatial2

Mechanistic2

Multiple regression1

Patterns2

Methods3

Recognition2

Dynamical1

Characterize1

High-dimensional1

Genetic1

Parameters1

Functional2

Simple4

Increasingly3

Cortical1

Datasets1

Cellular1

Species4

Assessment1

Experimental1

20181

Evaluate1

Structure2

Illustrate1

Theoretical1

Humans1

Discovery1

Consists1

Equivalent2

Faculty1

Analysis1

Computationally1

Uncertainty1

Estimation2

Predictive1

Systems4

Insights1