Sufficient statistic

Results: 125



#Item
51Support vector machine / Supervised learning / Sufficient statistic / Bayes estimator / Statistical classification / Bayesian inference / Kullback–Leibler divergence / Mixture model / Statistics / Statistical theory / Machine learning

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures Xinhua Zhang University of Alberta [removed]

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2010-03-31 21:42:25
52Econometrics / Loss function / Sufficient statistic / Trigonometry / Complex analysis / Polar coordinate system / Symbol / Statistics / Statistical theory / Decision theory

Le Cam meets LeCun: Deficiency and Generic Feature Learning Brendan van Rooyen Robert C. Williamson BRENDAN . VANROOYEN @ ANU . EDU . AU BOB . WILLIAMSON @ ANU . EDU . AU

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2014-03-18 00:04:09
53Regression analysis / Statistical methods / Graphical models / Linear regression / Bayesian network / Structural equation modeling / Normal distribution / Sufficient statistic / Causality / Statistics / Econometrics / Estimation theory

Strong Faithfulness and Uniform Consistency in Causal Inference Jiji Zhang & Peter Spirtes Philosophy Department Carnegie Mellon University Pittsburgh, PA 15213

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Source URL: www.hss.cmu.edu

Language: English - Date: 2008-02-14 09:32:24
54Expectation–maximization algorithm / Maximum likelihood / Bayes estimator / Loss function / Sufficient statistic / Belief propagation / Statistics / Estimation theory / Statistical theory

1 Learning Graphical Model Parameters with Approximate Marginal Inference Justin Domke, NICTA & Australia National University

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2013-09-04 21:04:45
55Estimation theory / Exponentials / Maximum likelihood / Exponential family / Sufficient statistic / Normal distribution / Log-normal distribution / Score / Maximum entropy probability distribution / Statistics / Probability and statistics / Statistical theory

X Information Aggregation in Exponential Family Markets JACOB ABERNETHY, University of Michigan, Ann Arbor SINDHU KUTTY, University of Michigan, Ann Arbor ´ SEBASTIEN

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Source URL: arxiv.org

Language: English - Date: 2014-02-24 20:29:48
56Probability theory / Statistical theory / Normal distribution / Multivariate normal distribution / Independence / Correlation and dependence / Sufficient statistic / Statistics / Statistical dependence / Probability and statistics

FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices? February 3, 2012

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Source URL: teach.business.uq.edu.au

Language: English - Date: 2015-02-05 20:01:52
57Maximum likelihood / Connectivity / Multivariate normal distribution / Estimator / Sufficient statistic / Maximum spacing estimation / Poisson distribution / Statistics / Estimation theory / Statistical theory

Learning Graphs with a Few Hubs Rashish Tandon, Pradeep Ravikumar Department of Computer Science The University of Texas at Austin, USA

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
58Probability theory / Graphical models / Regression analysis / Theoretical computer science / Exponentials / Conditional random field / Generalized linear model / Sufficient statistic / Normal distribution / Statistics / Probability and statistics / Probability

Conditional Random Fields via Univariate Exponential Families Eunho Yang Department of Computer Science University of Texas at Austin

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Source URL: www.cs.utexas.edu

Language: English - Date: 2013-11-14 22:48:54
59Exponentials / Statistical theory / Bayesian statistics / Expectation–maximization algorithm / Hidden Markov model / Bayesian network / Exponential family / Maximum likelihood / Sufficient statistic / Statistics / Markov models / Estimation theory

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed]

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Source URL: ai.stanford.edu

Language: English - Date: 2005-06-05 21:42:42
60Expectation–maximization algorithm / Maximum likelihood / Score / Sufficient statistic / Curve / Regression analysis / Parametric model / Statistics / Estimation theory / Statistical theory

Running head: MODERATE ACTIVATION LEADS TO FORGETTING Supplementary Materials for: Moderate Levels of Activation Lead to Forgetting In the Think/No-Think Paradigm 1

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Source URL: compmem.princeton.edu

Language: English - Date: 2013-02-22 08:25:14
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