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Likelihood function
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521	Privacy Aware Learning 1 John C. Duchi1 Michael I. Jordan1,2 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:48:07 Information theory Decision theory Econometrics Loss function Mutual information Dimensional analysis Divergence Maximum likelihood Expectation–maximization algorithm Statistics Statistical theory Estimation theory
522	MCMCglmm Course Notes Jarrod Hadfield ([removed]) May 24, 2014 Introduction These are (incomplete) course notes about generalised linear mixed models Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:01:08 Statistical theory Regression analysis Statistical inference Maximum likelihood Generalized linear model Restricted maximum likelihood Likelihood function Normal distribution Prior probability Statistics Estimation theory Bayesian statistics
523	Graphical models and message-passing: Part III: Learning graphs from data Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-09-04 20:58:21 Likelihood function Kullback–Leibler divergence Graphical models Estimation theory Statistics Statistical theory
524	Communication-Efficient Algorithms for Statistical Optimization 1 Yuchen Zhang1 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:54:22 M-estimator Parametric model Likelihood function Score Bootstrapping Stochastic approximation Loss function Big O notation Maximum likelihood Statistics Estimation theory Fisher information
525	From Consensus to Social Learning Ali Jadbabaie Alfred Fitler Moore Professor of Network Science Electrical and Systems Engineering, Computer & Information Sciences Operations & Information Management University of Penns Add to Reading List Source URL: cds20.caltech.edu Language: English - Date: 2014-08-14 11:50:03 Estimation theory Bayesian statistics Likelihood function
526	gsl_stats August 17, 2008 C ONTENTS Preface Add to Reading List Source URL: modelingwithdata.org Language: English - Date: 2008-09-01 15:57:43 Statistical inference Statistical tests Robust statistics Maximum likelihood Non-parametric statistics Parameter Likelihood function Likelihood-ratio test Array data type Statistics Statistical theory Estimation theory
527	Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-08-20 20:23:29 M-estimators Maximum likelihood Hájek–Le Cam convolution theorem Estimation theory Statistics Statistical theory
528	Privacy Aware Learning John C. Duchi1 arXiv:1210.2085v2 [stat.ML] 10 Oct[removed] Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-10 21:51:01 Econometrics Measurement Decision theory Loss function Dimensional analysis Divergence Maximum likelihood Fisher consistency Statistics Statistical theory Estimation theory
529	Journal of Machine Learning Research[removed]3363 Submitted 3/13; Published[removed]Communication-Efficient Algorithms for Statistical Optimization Yuchen Zhang Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-12-09 15:15:53 Fisher information Bias of an estimator M-estimator Loss function Maximum likelihood Fisher consistency Statistics Estimation theory Statistical theory
530	Abstract Traces and hints of evolution history are embedded in the genomic data found in present-day populations. Facilitated by next generation sequencing technology, an overwhelming volume of genomic data has become a Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2014-02-11 09:16:42 Statistical theory Bayesian statistics Maximum likelihood Markov chain Likelihood function Statistics Estimation theory Coalescent theory

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