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Statistical methods
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#	Item
51	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:53 Statistics Probability Statistical natural language processing Probability distributions Estimation theory Regression analysis Dynamic topic model Latent Dirichlet allocation Variational Bayesian methods Mixture model Topic model Normal distribution
52	Package ‘sdcMicro’ July 18, 2014 Type Package Title Statistical Disclosure Control methods for anonymization of microdata and risk estimation VersionDate Add to Reading List Source URL: www.surveynetwork.org Language: English - Date: 2014-10-08 15:37:02 Disclosure Human subject research Privacy Statistical disclosure control Microdata Risk Information Finance Knowledge
53 $On quadrature methods for refractory point process likelihoods Gonzalo Mena and Liam Paninski Statistics Department and Grossman Center for the Statistics of Mind Columbia University July 2, 2014$	On quadrature methods for refractory point process likelihoods Gonzalo Mena and Liam Paninski Statistics Department and Grossman Center for the Statistics of Mind Columbia University July 2, 2014 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-07-02 20:20:52 Estimation theory Numerical integration Mathematical analysis Statistics Statistical theory Numerical analysis M-estimators Maximum likelihood estimation Likelihood function Integral Logarithm Quadrature
54	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
55	data and methods 4. Data and Methods Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-09-26 10:10:17 Statistics Sampling Error Measurement Statistical inference Variance Sample size determination Standard error Standard deviation Stratified sampling Design effect Errors and residuals
56	Microsoft Word - GLRPDG2009.doc Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-09 10:18:03 Regression analysis Statistics Formal sciences Estimation theory Knowledge Academia Statistical methods Simultaneous equation methods Econometrics Autocorrelation Instrumental variable Economic model
57	September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-12-21 01:53:45 Statistical theory Statistics Bayesian statistics Probability Statistical natural language processing Latent Dirichlet allocation Estimation theory Variational Bayesian methods Gibbs sampling Likelihood function Probability distributions
58	............................................................................................................................................................................................................................ Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2015-01-21 17:56:01 Knowledge Philosophy Academia Philosophy of science Research methods Data Information Statistics Big data Causality Machine learning Statistical inference
59	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:10 Statistics Mathematical analysis Statistical theory Estimation theory Bayesian statistics Stochastic optimization Probability theory Computational statistics Expectationmaximization algorithm Stochastic gradient descent OrnsteinUhlenbeck process Variational Bayesian methods
60	InSPiRe Periodic Report: 01 February 2014 to 31 JulyPublishable summary 1.1 Context and objectives The HEALTHcall identifies a need for new or improved statistical methodology for clinical trials for Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2015-09-30 04:34:58 Medical research Health Knowledge Clinical research Evidence-based practices Design of experiments Research methods Healthcare quality Randomized controlled trial Meta-analysis Evidence-based medicine Clinical trial