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Statistical inference
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201	Fast inference in generalized linear models via expected log-likelihoods Alexandro D. Ramirez 1,, Liam Paninski 2 1 Weill Cornell Medical College, NY. NY, U.S.A Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-06-06 11:45:10 Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Completeness Poisson regression Linear regression Exponential family Likelihood function Estimator Mean squared error Law of large numbers
202	Documentation Migrate VersionPeter Beerli Add to Reading List Source URL: popgen.sc.fsu.edu Language: English - Date: 2013-12-16 15:28:21 Bayesian statistics Estimation theory Statistical theory Statistical inference Marginal likelihood Probability theory Coalescent theory Likelihood function Bayesian inference Maximum likelihood estimation Bayes factor
203	The bootstrap is a popular and powerful method for assessing precision of estimators and inferential methods. However, for massive datasets which are increasingly prevalent, the bootstrap becomes prohibitively costly in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical inference Computational statistics Bootstrapping Resampling Statistics Booting
204	PDF Document Add to Reading List Source URL: gspp.berkeley.edu Language: English - Date: 2015-10-30 17:18:22 Hypothesis testing Design of experiments Statistical tests Statistical inference Formal sciences P-value Statistics Statistical hypothesis testing Publication bias Null hypothesis Statistical power Data dredging
205	VOILAND COLLEGE OF ENGINEERING AND ARCHITECTURE Engineering and Technology Management COURSE SYLLABUS Course Number: E M 503 Course Name: Managing Variability Using Statistics Add to Reading List Source URL: etm.wsu.edu Language: English Psychometrics Design of experiments Statistical inference Data Statistics Probability Descriptive statistics Systems engineering Statistical hypothesis testing Analysis of variance Statistics education Probabilistic design
206	Geography 360: Quantitative Methods in Geographical Analysis Spring 2012 Lecture: Tuesday & Thursday 9:30-10:45 a.m. Instructor: Karen Russ 418 Science Hall; Add to Reading List Source URL: www.geography.wisc.edu Language: English - Date: 2012-01-27 11:44:15 Statistical tests Nonparametric statistics Statistical inference Econometrics Statistical methods Statistics Regression analysis Confidence interval Spatial analysis Statistical hypothesis testing Sign test KolmogorovSmirnov test
207	Budgeted Online Collective Inference Jay Pujara University of Maryland Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2015-07-31 17:33:33 Graphical models Statistical theory Probability theory Statistical models Bayesian inference Statistical inference Bayesian network Markov random field Belief propagation Scala First-order logic Loss function
208	TII Tinbergen Institute Discussion Paper Measuring Responsiveness to Feedback as a Personal Trait Add to Reading List Source URL: papers.tinbergen.nl Language: English - Date: 2016-06-03 08:28:04 Bayesian inference Statistical forecasting Statistical inference Statistical theory Feedback Belief
209	Statistical Inference for Stochastic Processes 6: 111–133, 2003. c 2003 Kluwer Academic Publishers. Printed in the Netherlands. 111 Add to Reading List Source URL: myweb.fsu.edu Language: English - Date: 2008-10-19 22:21:18 Algebra of random variables Covariance Covariance and correlation Estimation theory Robot control Linear filters Kalman filter
210	Sparse Learning of Markovian Population Models in Random Environments Christoph Zechner1 , Federico Wadehn1 , and Heinz Koeppl1,2,3 1 arXiv:1401.4026v1 [q-bio.QM] 16 Jan 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-16 20:42:47 Probability distributions Infinitely divisible probability distributions Statistical theory Exponentials Markov models Variational Bayesian methods Gamma distribution Bayesian network KullbackLeibler divergence Bayesian inference Expectationmaximization algorithm Markov chain

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