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Exponential family
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1	Exponential Family .................. Summary . Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2013-02-04 15:55:21
2	2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky Add to Reading List Source URL: maxim.ece.illinois.edu Language: English - Date: 2012-04-18 12:07:52
3	Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky Add to Reading List Source URL: maxim.ece.illinois.edu Language: English - Date: 2012-04-18 12:07:49
4	Exponential Family Embeddings Maja Rudolph Columbia University Francisco J. R. Ruiz Add to Reading List Source URL: papers.nips.cc - Date: 2017-01-12 19:44:56
5	Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen Add to Reading List Source URL: people.eecs.berkeley.edu - Date: 2010-01-20 16:04:07
6	Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California Add to Reading List Source URL: www.ics.uci.edu - Date: 2004-09-14 19:43:58
7	Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California Add to Reading List Source URL: www.cs.toronto.edu - Date: 2005-01-01 16:44:31
8	Exponential Family Embeddings arXiv:1608.00778v1 [stat.ML] 2 Aug 2016 Maja R. Rudolph∗ Francisco J. R. Ruiz Add to Reading List Source URL: arxiv.org - Date: 2016-08-02 20:24:38
9	Maximum Likelihood Estimation of Dirichlet Distribution Parameters Jonathan Huang Abstract. Dirichlet distributions are commonly used as priors over proportional data. In this paper, I will introduce this distribution, d Add to Reading List Source URL: jonathan-huang.org Language: English - Date: 2014-09-08 21:47:30 Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation
10	Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:43 Statistics Estimation theory Statistical theory Maximum likelihood estimation Efficient estimator Efficiency Estimator Asymptotic theory Ole Barndorff-Nielsen Likelihood function Two-step M-estimators involving MLE Generalized method of moments

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