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Likelihood
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141	CSE 181 Project guidelines Add to Reading List Source URL: www.cs.bilkent.edu.tr Language: English - Date: 2012-11-28 06:58:51 Statistics Statistical theory Estimation theory Markov models Bayesian statistics Maximum likelihood estimation Likelihood function BaumWelch algorithm Likelihood-ratio test
142	The Misuse of The Vuong Test For Non-Nested Models to Test for Zero-Inflation Paul Wilson1 1 School of Mathematics and Computer Science, University of Wolverhampton, Add to Reading List Source URL: cybermetrics.wlv.ac.uk Language: English - Date: 2014-07-23 09:51:28 Statistics Statistical tests Probability distributions Statistical theory Poisson processes Infinitely divisible probability distributions Likelihood-ratio test Zero-inflated model Poisson distribution Statistical model Normal distribution Score test
143	A Maximum Likelihood Prosody Recognizer Ken Chen, Mark Hasegawa-Johnson, Aaron Cohen and Jennifer Cole Department of Electrical and Computer Engineering and Department of Linguistics University of Illinois at Urbana-Cham Add to Reading List Source URL: prosody.beckman.illinois.edu Language: English - Date: 2009-05-04 17:19:11 Linguistics Phonology Prosody Tone Phonetics Systemic functional linguistics Prosodic unit Intonation Stress Pitch accent ToBI Speech synthesis
144	Microsoft PowerPoint - 第5-2章-EM算法.pptx Add to Reading List Source URL: bioinfo.ict.ac.cn Language: English - Date: 2014-11-28 11:09:46 Estimation theory Statistics Statistical theory M-estimators Bayesian statistics Maximum likelihood estimation Likelihood function Logarithm Expectationmaximization algorithm Partial likelihood methods for panel data
145	Journal of Machine Learning Research) ?? Submitted ??; Published ?? Posterior Regularization for Structured Latent Variable Models Kuzman Ganchev Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-02-28 22:52:31 Statistics Estimation theory Statistical theory Expectationmaximization algorithm Maximum likelihood estimation KullbackLeibler divergence Sufficient statistic Likelihood function Gamma distribution Generalized coordinates
146	Chapter 2 A Theory of Data At first glance, it would seem that we have an infinite way to collect data. Measuring the diameter of the earth by finding the distance to the horizon, measuring the height of waves Add to Reading List Source URL: personality-project.org Language: English - Date: 2010-09-18 13:44:48 Statistics Mathematical analysis Analysis Probability distributions Functions and mappings Statistical analysis Statistical theory Normal distribution Matrix Data transformation Logistic function Maximum likelihood estimation
147	AgreementEvidenceDiagram_ShadedConfidence2 Add to Reading List Source URL: www.ipcc-wg1.unibe.ch Language: English - Date: 2014-08-18 09:11:52 Climate change Climatology Atmospheric sciences Intergovernmental Panel on Climate Change IPCC Fourth Assessment Report IPCC Fifth Assessment Report IPCC Third Assessment Report Climate Change Science Program IPCC Second Assessment Report Uncertainty Probability Likelihood function
148	Econometrica, Vol. 80, No. 4 (July, 2012), 1809–1812 TESTING FOR REGIME SWITCHING: A COMMENT BY ANDREW V. CARTER AND DOUGLAS G. STEIGERWALD1 An autoregressive model with Markov regime-switching is analyzed that reflec Add to Reading List Source URL: econ.ucsb.edu Language: English - Date: 2012-07-06 19:00:34 Statistics Estimation theory Statistical theory Maximum likelihood estimation Autocorrelation Quasi-maximum likelihood estimate Null hypothesis Likelihood function
149	13th International Society for Music Information Retrieval Conference (ISMIRMULTIVARIATE AUTOREGRESSIVE MIXTURE MODELS FOR MUSIC AUTO-TAGGING Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Estimation theory M-estimators Time series models Noise Signal processing Expectationmaximization algorithm Autoregressive model Maximum likelihood estimation Mixture model Support vector machine Autoregressive conditional heteroskedasticity
150	JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Loss function Markov decision process Reinforcement learning Exponential family Confidence interval Likelihood function Conjugate prior

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