Results for Bayesian Models
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fcs-bayes.org
FCS Bayes - Bayesian inference to evaluate models for FCS data
Bayesian inference provides a convenient framework for testing competing models for FCS data in an objective manner by computing and comparing posterior model probabilities without resorting to pair-wise statistical tests. This approach is useful in parti
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relevancevector.com
miketipping.com :: Sparse Bayesian Models (and the RVM)
Mike Tipping's page devoted to Sparse Bayesian Learning and the relevance vector machine.
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khomh.net
Foutse Khomh's Home page
software engineering, design, patterns, quality, models, defects, bayesian networks, formal, verification, cloud engineering
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erbe-matzke.com
Research on formal models of response inhibition, multinomial processing tree models, and Bayesian inference. Download BEESTS (Bayesian Ex-Gaussian Estimation of Stop-Signal RT distributions) here for free.
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abc4ibm.com
abc4ibm
A portal to information about Approximate Bayesian Computation (ABC) for Individual Based Models (IBM), primarily for ecologists but used in many fields of research.
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revbayes.com
RevBayes
Bayesian graphical models
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variational-bayes.org
Variational-Bayes Repository
Gatsby Computational Neuroscience Unit. Research interests: Machine Learning, Graphical Models, Bayesian Inference
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andeekaplan.com
Andee Kaplan - Iowa State University
Personal website detailing the most important and most mundane aspects of Andee Kaplan.
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cantabresearch.com
Home - Cantab Research Limited
Cantab Research Limited
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bayesianlogic.com
Home - Bayesian Logic, Inc.
Bayesian Logic, Inc.
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erikerhardt.com
Erik Barry Erhardt, PhD
Prof Erik Erhardt PhD offers statistical consulting
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reputronix.com
Reputronix Home
Services in Machine Learning for Ad, Classifiers, CTR, Predictives, ad placement optimization, Sentiment Analysis, OLAP, Remote Software Project Development, Software Architecture, Machine Learning Platforms, Search Engines, Advert
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shihaoji.com
Shihao Ji's Home page!
Shihao Ji's homepage at ECE, Duke university
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statacumen.com
Erik Barry Erhardt, PhD
Prof Erik Erhardt PhD offers statistical consulting
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tempest-tech.com
Tempest Technologies
Turning data into decisions through quantitative research methods, mathematical and statistical modeling and analysis, and software engineering and development.
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erikerhardt.net
Erik Barry Erhardt, PhD
Prof Erik Erhardt PhD offers statistical consulting
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reputronix.net
Reputronix Home
Services in Machine Learning for Ad, Classifiers, CTR, Predictives, ad placement optimization, Sentiment Analysis, OLAP, Remote Software Project Development, Software Architecture, Machine Learning Platforms, Search Engines, Advert
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drsmorey.org
Richard D. Morey
Cognitive Psychology and Statistical Modeling
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emodeler.us
Michael Trusov, Associate Professor of Marketing, University of Maryland
Michael Trusov Associate Professor of Marketing, Robert H. Smith School of Business University of Maryland
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hugheseconomics.com
hughes economics
ECONOMICS analyses economic regions cities, districts, countries using the latest 88-sector models based on employment and population in the region. The most valuable activities within the region are identified and the linkages to other activities
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kddresearch.com
K-State Laboratory for Knowledge Discovery in Databases (KDD)
Kansas State University Laboratory for Knowledge Discovery in Databases (KDD) - applied machine learning and probabilistic reasoning using graphical models
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systematicsoccer.com
Statistical models & betting in football (soccer) - Systematic Soccer
A football (soccer) bet selection advisory service, using the latest statistical models to derive accurate predictive probabilities for match outcomes.
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bayesforecast.org
Web Interna de Bayes - Dynamic modelling of operations and markets
Bayes Inference: Information about time objects, time series data base, massive data, data analysis, strategies formulation, statistical models (ARMA, ARIMA, VARMA), time series forecast, cost, utility and decision functions, dynamic information and demma
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bayesian-cognition.org
Bayesian Cognition
Probabilistic models of perception, inference, reasoning, decision, action, learning and neural processing
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jaymartin.org
Jay B. Martin
NYU PhD candidate, Jay B. Martin, researches the structure of natural categories using probabilistic models. His current research with Bob Rehder explores causal-based categories and self-directed learning.
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kddresearch.org
K-State Laboratory for Knowledge Discovery in Databases (KDD)
Kansas State University Laboratory for Knowledge Discovery in Databases (KDD) - applied machine learning and probabilistic reasoning using graphical models
