Sufficient statistic

Results: 125



#Item
41Estimation theory / Statistical inference / Multivariate statistics / Non-negative matrix factorization / Expectation–maximization algorithm / Likelihood function / Sufficient statistic / Gamma distribution / Exponential family / Statistics / Statistical theory / Bayesian statistics

Bayesian Nonparametric Matrix Factorization for Recorded Music Matthew D. Hoffman MDHOFFMA @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:21
42Estimation theory / Gamma distribution / Conjugate prior / Exponential family / Marginal likelihood / Delta method / Sufficient statistic / Kullback–Leibler divergence / Expectation–maximization algorithm / Statistics / Statistical theory / Bayesian statistics

Journal of Machine Learning Research[removed]1031 Submitted 9/12; Revised 1/13; Published 4/13 Variational Inference in Nonconjugate Models Chong Wang

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:23
43Decision theory / Bayesian statistics / Econometrics / Bayes estimator / Loss function / Conjugate prior / Sufficient statistic / Admissible decision rule / Parametric model / Statistics / Statistical theory / Estimation theory

1 Chapter 5 Bayes Methods and Elementary Decision Theory 1. Elementary Decision Theory

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Source URL: www.stat.washington.edu

Language: English - Date: 2010-02-24 17:55:21
44Sufficient statistic / Estimation theory / Statistics / Statistical theory / Normal distribution

Statistics 582, Problem Set 7, revision 3 Wellner; [removed]Reading: Chapter 6, sections 6.1 and 6.2 (through page 19); Lehmann and Romano, Chapter 3. Due: Wednesday, February 25, 2015.

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-21 12:15:22
45Sufficient statistic / Law of large numbers / Estimation theory / Statistics / Statistical theory / Normal distribution

Statistics 582, Problem Set 7 Wellner; [removed]Reading: Chapter 6, sections 6.1 and 6.2 (through page 19); Lehmann and Romano, Chapter 3. Due: Wednesday, February 25, 2015.

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-18 15:54:36
46Parametric model / Sufficient statistic / Bias of an estimator / Law of large numbers / Maximum likelihood / Hájek–Le Cam convolution theorem / Statistics / Statistical theory / Estimation theory

1 Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´

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Source URL: www.stat.washington.edu

Language: English - Date: 2010-12-08 16:14:10
47Sufficient statistic / Estimation theory / Statistics / Statistical theory / Normal distribution

Statistics 582, Problem Set 7, revised Wellner; [removed]Reading: Chapter 6, sections 6.1 and 6.2 (through page 19); Lehmann and Romano, Chapter 3. Due: Wednesday, February 25, 2015.

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-19 12:32:42
48Sufficient statistic / Statistical inference / Law of large numbers / Trigonometry / Consistent estimator / Statistics / Statistical theory / Estimation theory

Statistics 582, Problem Set 8 Wellner; [removed]Reading: Chapter 6, sections 6.2 and 6.3 (through page 34). Due: Wednesday, March 4, 2015. Reminder: Final Exam, Monday, March 16, 8:[removed]:30 (MGH 271)

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-25 12:02:39
49Maximum likelihood / Parametric model / Conjugate prior / Exponential family / Sufficient statistic / Likelihood function / Entailment / Fisher information / Completeness / Statistics / Statistical theory / Estimation theory

STAT 538 Lecture 3 Exponential Family Models c Marina Meil˘a [removed]

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-13 23:03:57
50Sufficient statistic / Estimation theory / Statistics / Statistical theory / Normal distribution

Statistics 582, Problem Set 7, revision 2 Wellner; [removed]Reading: Chapter 6, sections 6.1 and 6.2 (through page 19); Lehmann and Romano, Chapter 3. Due: Wednesday, February 25, 2015.

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-20 10:38:59
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