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Statistical inference
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391	Generative probabilistic models extend the scope of inferential structure determination Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2012-01-24 06:25:17 Statistics Statistical theory Protein methods Protein structure Bioinformatics Markov chain Monte Carlo Gibbs sampling Root-mean-square deviation Monte Carlo method Bayesian inference Structure validation Global optimization
392	CrossMark_Color_Stacked_p Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-08-01 18:02:33 Statistics Statistical theory Philosophy Philosophy of science Statistical inference Sampling techniques Statistical mechanics Stochastic simulation Bayesian network Bayesian inference Inference Monte Carlo method
393	Cognitive Science–160 Copyright ! 2009 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: j01072.x Inferring Hidden Causal Structur Add to Reading List Source URL: eccl.mit.edu Language: English - Date: 2015-03-10 17:29:07 Philosophy of science Graphical models Causal inference Statistical models Causality Conditionals Causal reasoning Causal graph Bayesian network Determinism Statistics Psychology
394	Downloaded from http://rsta.royalsocietypublishing.org/ on December 28, 2015 rsta.royalsocietypublishing.org A hierarchical Bayesian framework for force field Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-12-28 04:01:00 Statistics Statistical theory Statistical models Estimation theory Bayesian network Networks Bayesian inference Linear regression Marginal likelihood
395	Administrative Notes StatisticsLecture 22 •  Homework 6 due in recitation tomorrow Inference for relationships Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-04-06 13:56:31 Statistics Parametric statistics Statistical inference Estimation theory Regression analysis Single-equation methods Linear regression Simple linear regression T-statistic Confidence interval Least squares Errors and residuals
396	Review TRENDS in Cognitive Sciences Vol.8 No.8 August 2004 Add to Reading List Source URL: eccl.mit.edu Language: English - Date: 2015-03-10 17:29:06 Statistics Philosophy Logic Conditionals Graphical models Statistical inference Statistical models Philosophy of science Causality Bayesian network Conditional probability Counterfactual conditional
397	Curriculum Vitae of SOUMENDRA NATH LAHIRI Last Revised: OFFICE ADDRESS: Department of Statistics, 5140 SAS Hall, 2311 Stinson Drive Raleigh, NCit Ph: ; Fax: ( Add to Reading List Source URL: www4.stat.ncsu.edu Language: English - Date: 2014-02-25 15:03:31 Statistics Probability and statistics Statistical inference Actuarial science Estimation theory Bootstrapping Resampling Mathematical statistics C. R. Rao Regression analysis Indian Statistical Institute M-estimator
398	Tractable Bayesian Social Learning on Trees Yashodhan Kanoria∗ and Omer Tamuz† April 16, 2012 Abstract We study a model of Bayesian agents in social networks who learn from the actions of their Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2012-04-16 12:26:36 Statistics Statistical models Graphical models Bayesian network Networks Bayesian inference Algorithm Belief propagation
399	Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance Julián Urbano Mónica Marrero Add to Reading List Source URL: julian-urbano.info Language: English - Date: 2016-06-09 21:08:54 Estimation theory Statistical theory Statistical inference Covariance and correlation Signal processing Estimator Bias of an estimator L-estimator Maximum likelihood estimation Correlation and dependence Efficiency Standard deviation
400	DOIjqas JQAS 2013; 9(1): 97–111 Robert B. Gramacy, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English* - Date: 2013-04-04 09:36:33 Statistics Statistical theory Regression analysis Linear regression Least squares Logistic regression Ordinary least squares Prior probability Bayesian linear regression Bayesian inference Normal distribution Statistical power

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