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Linear probability model
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101	Estimation Theory for the Cusp Catastrophe Model REVISED EDITION1 Loren Cobb Abstract The cusp model of catastrophe theory is very closely related to certain multiparameter exponential families of probability densit Add to Reading List Source URL: www.aetheling.com Language: English - Date: 2010-06-05 22:42:52 Parametric statistics Singularity theory Least squares Linear regression Catastrophe theory Maximum likelihood Linear least squares Ordinary least squares Variance Statistics Regression analysis Estimation theory
102	BAYESIAN STATISTICS 7 Proceedings of the Seventh Valencia International Meeting Dedicated to Dennis V. Lindley June 2–6, 2002 Add to Reading List Source URL: www.uv.es Language: English - Date: 2004-11-05 07:32:55 Bayesian inference Bayes factor Markov chain Monte Carlo Hidden Markov model Expectation–maximization algorithm Generalized linear model Regression analysis Variational Bayesian methods Bayesian probability Statistics Bayesian statistics Bayesian network
103	A Tutorial on Particle Filtering and Smoothing: Fifteen years later Arnaud Doucet The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo[removed], Japan. Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2008-12-21 20:26:11 Markov models Applied mathematics Estimation theory Monte Carlo methods Linear filters Particle filter Hidden Markov model Kalman filter Importance sampling Statistics Probability and statistics Robot control
104	A Monotonically Convergent Newton Iteration for the Quantiles of any Unimodal Distribution, with Application to the Inverse Gaussian Distribution G¨oknur Giner1,3 Gordon K. Smyth1,2,4 Add to Reading List Source URL: www.statsci.org Language: English - Date: 2014-06-02 21:44:48 Normal distribution Quantile function Quantile Unimodality Probability distribution Cumulative distribution function Inverse Gaussian distribution Generalized linear model Exponential distribution Statistics Probability theory Mathematical analysis
105	PDF Document Add to Reading List Source URL: www.medical-science.site88.net Language: English - Date: 2013-01-31 20:40:29 Log-normal distribution Multivariate normal distribution Generalized linear model Statistics Normal distribution Probability and statistics
106	In Advances in Neural Information Processing Systems (NIPS), MIT Press, Dec[removed]Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree Daphna Weinshall1 Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2008-11-10 10:06:16 Parts of speech Classifier Supervised learning Probability Support vector machine Kullback–Leibler divergence Language model Linear classifier Classification rule Statistics Machine learning Statistical classification
107	NYC Teacher Data Initiative: Technical Report on the NYC Value-Added Model 2010 Add to Reading List Source URL: schools.nyc.gov Language: English - Date: 2014-02-06 09:44:40 Evidence-based medicine Pre- and post-test probability Value-added modeling Linear regression New York State Education Department Statistics Education Teaching
108	300 IEEE SIGNAL PROCESSING LETTERS, VOL. 13, NO. 5, MAY 2006 Add to Reading List Source URL: eo.uit.no Language: English - Date: 2011-03-03 05:05:16 Mixture model Normal distribution Maximum likelihood Laplace distribution Expectation–maximization algorithm Probability distribution Linear regression Conjugate prior Estimation of covariance matrices Statistics Estimation theory Multivariate normal distribution
109	PDF Document Add to Reading List Source URL: stan.googlecode.com Language: English Bayesian statistics Statistical models Markov models Gibbs sampling Markov chain Monte Carlo Generalized linear model Probability distribution Mixture model Prior probability Statistics Probability and statistics Probability
110	PDF Document Add to Reading List Source URL: stan.googlecode.com Language: English Markov models Statistical models Bayesian statistics Regression analysis Machine learning Gibbs sampling Generalized linear model Mixture model Prior probability Statistics Probability and statistics Probability

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