Exponential Family .................. Summary .

Source URL: genome.sph.umich.edu

2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

Source URL: maxim.ece.illinois.edu

Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

Source URL: maxim.ece.illinois.edu

Exponential Family Embeddings Maja Rudolph Columbia University Francisco J. R. Ruiz

Source URL: papers.nips.cc

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

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Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California

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Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California

Source URL: www.cs.toronto.edu

Exponential Family Embeddings arXiv:1608.00778v1 [stat.ML] 2 Aug 2016 Maja R. Rudolph∗ Francisco J. R. Ruiz

Source URL: arxiv.org

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

Source URL: jonathan-huang.org

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Gamma distribution
• Dirichlet distribution
• Exponential family
• Beta distribution
• Mixture model
• Multinomial distribution
• Likelihood function
• Maximum likelihood estimation

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

Source URL: www.ism.ac.jp

• 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