Maximum likelihood estimation - PDFSEARCH.IO - Document Search Engine

Maximum likelihood estimation
Results: 1796

#	Item
641	Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei Computer Science Department Princeton University {chongw, blei, feifeili}@cs.princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Automatic image annotation Expectation–maximization algorithm Latent Dirichlet allocation Topic model Maximum likelihood LabelMe Annotation Dimensional analysis Statistics Artificial intelligence Statistical natural language processing
642	Microsoft Word - DYNAMIC CONDITIONAL BETA[removed] Add to Reading List Source URL: vlab.stern.nyu.edu Language: English - Date: 2015-03-10 14:57:19 Econometrics Parametric statistics Time series analysis Linear regression Autoregressive conditional heteroskedasticity Fisher information Ordinary least squares Maximum likelihood Kalman filter Statistics Estimation theory Regression analysis
643	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
644	Mass Estimation and Its Applications ∗ Kai Ming Ting, Guang-Tong Zhou , Fei Tony Liu, James Tan Swee Chuan † Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:15 Statistical theory Estimation theory M-estimators Kernel density estimation Maximum likelihood Robust statistics Gaussian function Density estimation Normal distribution Statistics Non-parametric statistics Machine learning
645	Frequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend1 G. Larry Bretthorst Department of Chemistry, Washington University, St. Louis MO[removed]Abstract. In this paper, we address the problem of fre Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian probability Bayesian inference Prior probability Maximum likelihood Probability Normal distribution Principle of maximum entropy Acoustic resonance Normalizing constant Statistics Bayesian statistics Probability and statistics
646	6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Conjugate prior Likelihood function Normal distribution Statistics Estimation theory Bayesian statistics
647	Testing for a unit root in noncausal autoregressive models Add to Reading List Source URL: www.suomenpankki.fi Language: English - Date: 2013-11-20 06:24:19 Time series analysis Parametric statistics Estimation theory Normal distribution Linear least squares Autoregressive conditional heteroskedasticity Maximum likelihood Unit root Least squares Statistics Econometrics Regression analysis
648	Statistics 582, Problem Set 4 Solutions Wellner; [removed]Consider Example 1.3 as given on page 4 of the Chapter 5 notes. (a) Consider calculation of the Bayes rule for the prior λ1 = λ, λ2 = 1 − λ with λ ∈ [ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-05 18:34:46 Bayes estimator Bayesian inference Conjugate prior Gamma distribution Maximum likelihood Loss function Symbol Parametric model Statistics Statistical theory Estimation theory
649	Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized WPS6273 Add to Reading List Source URL: www-wds.worldbank.org Language: English - Date: 2012-11-21 13:40:07 Econometrics Estimation theory Development Parametric statistics Instrumental variable Microcredit Maximum likelihood Normal distribution Linear regression Statistics Regression analysis Economics
650	6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Bayesian statistics Econometrics Bayesian inference Maximum likelihood Loss function Likelihood function Marginal likelihood Normal distribution Bayesian information criterion Statistics Estimation theory Statistical theory

UPDATE