*  Optimization and Falsification in Empirical Agent-Based Models
... and comparison to empirical data, followed by theoretical reconsideration. Sophisticated methods have been proposed for several ... the empirical orientation of the social sciences demands that the gap between modeled "thought experiments" and empirical data ... Furthermore, efforts were made to calibrate models according to empirical findings. The Empirical Approach. 3.8. In a recent ... Empirical Modeling, Genetic Optimization, Falsification Introduction 1.1. Important methodological and theoretical ...
  http://jasss.soc.surrey.ac.uk/13/1/2.html
*  Is the Shape of the Age-Crime Curve Invariant by Sex? Evidence from a National Sample with Flexible Non-parametric Modeling |...
Objectives Prior theoretical scholarship makes strong assumptions about the invariance of the age-crime relationship by sex. ... Methods. To address the limitations of the existing empirical literature, a novel localized modeling approach is used that does ... With a non-parametric method-B-spline regression, the study models self-report criminal behavior and arrest by sex using age as ... Prior theoretical scholarship makes strong assumptions about the invariance of the age-crime relationship by sex. However, ...
  https://rd.springer.com/article/10.1007/s10940-014-9225-6
*  Discrete choice - Wikipedia
Estimation of such models is usually done via parametric, semi-parametric and non-parametric maximum likelihood methods. The ... Luce, R. D. (1959). Individual Choice Behavior: A Theoretical Analysis. Wiley. Ben-Akiva, M.; Lerman, S. (1985). Discrete ... Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice. Estimation ... and demand can be modeled empirically using regression analysis. On the other hand, discrete choice analysis examines ...
  https://en.wikipedia.org/wiki/Discrete_choice
*  Stochastic empirical loading and dilution model - Wikipedia
... and the basin development factor SELDM models the potential effect of mitigation measures by using Monte Carlo methods with ... Thus, SELDM is an empirical model based on data and statistics rather than theoretical physicochemical equations. SELDM is a ... In SELDM, these three treatment variables are modeled by using the trapezoidal distribution and the rank correlation with the ... Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, ...
  https://en.wikipedia.org/wiki/Stochastic_empirical_loading_and_dilution_model
*  Lower critical solution temperature - Wikipedia
There are three groups of methods for correlating and predicting LCSTs. The first group proposes models that are based on a ... doi:10.1016/s0032-3861(98)00480-7. Vetere, A (1998). "An Empirical Method To Predict the Liquid−Liquid Equilibria of Binary ... solid theoretical background using liquid-liquid or vapor-liquid experimental data. These methods require experimental data to ... Within statistical mechanics, the LCST may be modeled theoretically via the lattice fluid model, an extension of Flory-Huggins ...
  https://en.wikipedia.org/wiki/Lower_critical_solution_temperature
*  History of political science - Wikipedia
The Darwinian models of evolution and natural selection exerted considerable influence in the late 19th century. Society seemed ... Gunnell argues that since the 1950s the concept of system was the most important theoretical concept used by American political ... But it also meant the application of rigorous scientific and statistical methods to standardize testing and to attempt value ... Behavioralism (Behaviouralism) is an empirical approach which emerged in the 1930s in the United States. It emphasized an ...
  https://en.wikipedia.org/wiki/History_of_political_science
*  Patent US8170808 - Methods and computer software for detecting splice variants - Google Patents
In general the methods involve normalizing probe set or exon intensity to an expression level measurement of the gene. The ... methods may be used to identify tissue-specific alternative splicing events. ... Methods and software products for analysis of alternative splicing are disclosed. ... Comparison of Empirical p-Values with Theoretical p-Values. FIG. 5. : The log-scale error in approximating background by three ...
  http://www.google.com/patents/US8170808?dq=patent:7076806
*  Social simulation - Wikipedia
More recently, Ron Sun developed methods for basing agent-based simulation on models of human cognition, known as cognitive ... The behavior of populations of agents under these models is rarely tested or verified against empirical observation. Agent- ... This theoretical outlook on social situations uses a wide range of information to determine what should happen to society and ... others have modeled the emergence of norms using memes, or how social norms and emotions can regulate each other. Institutions ...
  https://en.wikipedia.org/wiki/Social_simulation
*  Kenneth D. Mackenzie - Wikipedia
However, he tries to ignore any latent preconceived specific theory or a fixed toolkit of methods. To him the phenomena is ... His purpose is to use each research adventure to help erect a less ramshackle theoretical edifice for the group and ... These structural change processes can be modeled and explained. Most group and organizational behavior takes place "outside" of ... Bernhardt Irwin, Mackenzie Kenneth D (1972). "Some problems in using diffusion models for new products" (PDF). Management ...
  https://en.wikipedia.org/wiki/Kenneth_D._Mackenzie
*  Testing Consumer Behavior Theories: Lisrel Is Not a Panacea by Banwari Mittal
In all four models, only correlational linkages are modeled among the 3 antecedents. Both models 'B' and 'C' fit better than ... And when LISREL supports them, it is legitimate to assert empirical validity for those causal models. It is to be understood, ... such as simultaneous estimation of models for multiple groups) should deservedly make LISREL the preferred method in many ... The use of causal modeling for testing theoretical relationships is increasing in consumer research. Since the publication of ...
  http://www.acrwebsite.org/volumes/7534/volumes/v20/NA-20
*  Molecular dynamics - Wikipedia
The method was originally developed within the field of theoretical physics in the late 1950s but is applied today mostly in ... Paci, E; M Vendruscolo; M Karplus (2002). "Validity of Go Models: Comparison with a Solvent-Shielded Empirical Energy ... RNA structure in the ribosome and other large systems has been modeled with one pseudo-atom per nucleotide. The simplest form ... Ab initio calculations produce a vast amount of information that is not available from empirical methods, such as density of ...
  https://en.wikipedia.org/wiki/Molecular_dynamics
*  Plus it
Materials and Methods. Network organization.. We modeled networks of excitatory (75%) and inhibitory (25%) neurons (n = 2500) ... Linking model behavior to empirical observations. To our knowledge, there are no empirical reports investigating neuronal ... Cumulative distribution function (CDF) shown for a theoretical power-law (black line) with exponent −1.5. κ is calculated by ... Insulin Treatment Prevents Neuroinflammation and Neuronal Injury with Restored Neurobehavioral Function in Models of HIV/AIDS ...
  http://www.jneurosci.org/content/32/29/9817
*  Applied information economics - Wikipedia
... not new method and is based on previously-developed components that have a sound theoretical basis and/or have strong empirical ... Since it uses the Monte Carlo method, uncertainty can be modeled explicitly. Unlike most decision-theory analysis of uncertain ... It is a significant improvement on Monte Carlos models that have no calibration for initial estimates, but there is no ... Empirical methods applied according to the information value of the measurement. This step is, in fact, the reason for the name ...
  https://en.wikipedia.org/wiki/Applied_information_economics
*  Theoretical ecology - Wikipedia
Theoretical results are often verified by empirical and observational studies, revealing the power of theoretical methods in ... may best be modeled over either continuous or discrete time. Other examples of such models may be found in the field of ... Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as ... One class of computational models that is becoming increasingly popular are the agent-based models. These models can simulate ...
  https://en.wikipedia.org/wiki/Theoretical_ecology
*  Individual differences in emotion word processing: A diffusion model analysis | SpringerLink
9 quantiles are marked by circles for empirical data and triangles for theoretical data. The figures show the probability of ... Behavior Research Methods, 40(1), 61-72. doi: 10.3758/BRM.40.1.61 CrossRefPubMedGoogle Scholar ... In addition, regression models for outcome parameters (RTs, error rates, and drift rates) will be computed to examine the ... An illustration of decision processes in the lexical decision task modeled by a DM: a indexes the boundary width that can vary ...
  https://link.springer.com/article/10.3758%2Fs13415-016-0408-5
*  A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
... discrete optimization methods among other related topics. The journal provides a channel of communication between scientists ... by applying the theoretical models to the city of Hangzhou, China. The computations lend support to the theoretical inferences ... from the city center declines monotonically, Clark [1] proposed an empirical model that can be written as where is a constant ... which can be estimated by the box-counting method [36]; the second is radial dimension. , which is defined by the area-radius ...
  https://www.hindawi.com/journals/ddns/2008/728420/
*  Frontiers | Editorial: Modeling the Plankton-Enhancing the Integration of Biological Knowledge and Mechanistic Understanding |...
2016). The predictive capabilities of these models, in particular under changing environmental conditions, naturally rely ... and especially ecosystem models, have developed into an important tool for policy advice and environmental management ... Incorporating these remarkably variable empirical data in a model simulation showed that M. longa predation had minimal impact ... modeled copepod life history traits and adaptation in seasonal environments. Their modeling experiments demonstrate that ...
  https://www.frontiersin.org/articles/10.3389/fmars.2017.00358/full
*  Human performance modeling - Wikipedia
Many human performance models make quantitative predictions, which are critical in applied situations. Purely empirical methods ... Formal models, in contrast, typically require explicit specification of theoretical terms. Specificity requires that ... This knowledge is acquired through human factors methods including task analyses of the activity being modeled. Cognitive ... such explanations are not generally provided by strictly empirical methods. Many human performance models share key features ...
  https://en.wikipedia.org/wiki/Human_performance_modeling
*  Discrete time and continuous time - Wikipedia
On the other hand, it is often more mathematically tractable to construct theoretical models in continuous time, and often in ... For example, the adjustment of a price P in response to non-zero excess demand for a product can be modeled in continuous time ... Discrete time is often employed when empirical measurements are involved, because normally it is only possible to measure ... one uses time series or regression methods in which variables are indexed with a subscript indicating the time period in which ...
  https://en.wikipedia.org/wiki/Discrete_time_and_continuous_time
*  Social science - Wikipedia
... employing both theoretical models and empirical analysis. Quantitative models, however, can be traced as far back as the ... Empirical methods include survey research, statistical analysis or econometrics, case studies, experiments, and model building ... A dynamical system modeled as a mathematical formalization has a fixed "rule" that describes the time dependence of a point's ... statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given ...
  https://en.wikipedia.org/wiki/Social_science
*  Homology modeling - Wikipedia
Although some methods can generate hybrid models with better accuracy from multiple templates, most methods rely on a single ... Statistical potentials are empirical methods based on observed residue-residue contact frequencies among proteins of known ... However, RMSD does underestimate the accuracy of models in which the core is essentially correctly modeled, but some flexible ... Theoretical Chemistry Accounts. 125: 643-50. doi:10.1007/s00214-009-0656-3. Marti-Renom, MA; Stuart, AC; Fiser, A; Sanchez, R; ...
  https://en.wikipedia.org/wiki/Homology_modeling
*  Experimental economics - Wikipedia
Journal of Empirical Legal Studies, 7(4), 847-867 (link). • Vernon L. Smith, 2008a. "experimental methods in economics," The ... Giorgio Fagiolo, Alessio Moneta, and Paul Windrum, 2007 "A Critical Guide to Empirical Validation of Agent-Based Models in ... as they are immediately applicable to either theoretical or empirical approaches or both.[citation needed] Behavioral economics ... The "agent" refers to "computational objects modeled as interacting according to rules," not real people. Agents can represent ...
  https://en.wikipedia.org/wiki/Experimental_economics
*  Bernhard Schölkopf | Empirical Inference - Max Planck Institute for Intelligent Systems
Use of the ell_0-norm with linear models and kernel methods Weston, J., Elisseeff, A., Schölkopf, B. ... These methods derive from statistical learning theory, and are of great theoretical and practical interest. We briefly describe ... These points are called translation initiation sites (TIS). Results: The task of finding TIS can be modeled as a classification ... Weston, J., Elisseeff, A., Schölkopf, B. Use of the ell_0-norm with linear models and kernel methods Biowulf Technologies, 2001 ...
  http://ei.is.tuebingen.mpg.de/people/bs?page=12
*  Analytic Methods for Volumetric Scattering
An Empirical BSSRDF Model SIGGRAPH 09. Current scattering models are tuned to the two extremes of thin media and single ... In our second approach, which we believe to be a significant theoretical and practical contribution to real time rendering, we ... scattering, or highly scattering materials modeled using the diffusion approximation. The vast intermediate range of materials ... Analytic and Data-Driven Methods for Volumetric Scattering. We focus on rendering the effects of scattering in participating ...
  https://cseweb.ucsd.edu/~ravir/projects/scattering.html
*  Statistics - davide cirillo | Pearltrees
Fitting empirical distributions to theoretical models. R - Plot probability with ggplot2 (not density) Square Goldfish » R, the ... The R language provides us with a useful method to calculate the autocorrelation function (ACF) of a time series. ... Course Course Description This introductory course to statistics and probability theory is modeled after the traditional ... Generalized Additive Models in R. Generalized additive models in R GAMs in R are a nonparametric extension of GLMs, used often ...
  http://www.pearltrees.com/davide__cirillo/statistics/id15412899