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Likelihood function
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#	Item
731	Spatial Statistics Toolbox 2.0 R. Kelley Pace1 LREC Endowed Chair of Real Estate Department of Finance E.J. Ourso College of Business Administration Louisiana State University Add to Reading List Source URL: www.spatial-statistics.com Language: English - Date: 2003-02-15 20:03:21 Cartography Geography Geostatistics Spatial analysis MATLAB R Likelihood function Statistics Software Spatial data analysis
732	SPACESTATPACK: A Spatial Statistics Package in Fortran[removed]with PC executable code) Purpose This collection of files (Fortran 90 source code and PC executable files) implements the fast maximum likelihood computation Add to Reading List Source URL: www.spatial-statistics.com Language: English - Date: 2000-03-02 05:42:34 Actuarial science Bayesian statistics Maximum likelihood Regression analysis Spatial analysis Likelihood function Statistics Estimation theory Econometrics
733	Weak Convergence to the Matrix Stochastic R1 Integral 0 BdB 0 in the Gaussian Case, with Application to Likelihood-Based Cointegration Analysis Add to Reading List Source URL: econ.la.psu.edu Language: English - Date: 2010-04-22 13:52:53 Mathematics Characteristic function Probability theory Mathematical analysis
734	Many experiments in medi ine and e ology an be onveniently modelled by nite Gaussian mixtures but fa e the problem of dealing with small data sets. We propose a robust version of the estimator based on self-regression Add to Reading List Source URL: www.medical-science.site88.net Language: English - Date: 2013-01-31 20:55:47 Maximum likelihood Likelihood function Mixture model Statistics Estimation theory Expectation–maximization algorithm
735	PDF Document Add to Reading List Source URL: www.medicine-science.net23.net Language: English - Date: 2013-02-01 02:13:12 Bayesian statistics Econometrics Maximum likelihood Fisher information Conjugate prior Marginal likelihood Asymptotic theory NOνA Likelihood function Statistics Estimation theory Statistical theory
736	Open Research Online The Open University’s repository of research publications and other research outputs Computational information geometry in statistics: foundations Conference Item Add to Reading List Source URL: oro.open.ac.uk Language: English - Date: 2013-09-13 13:31:36 Statistical models Information theory Bayesian statistics Maximum likelihood Fisher information Parametric model Exponential family Mixture model Likelihood function Statistics Estimation theory Statistical theory
737	Design by Elimination vs. Design by Comparison (Chapter 33 from The Design Revolution) By William A. Dembski How are design hypotheses properly inferred, simply by eliminating chance hypotheses or by comparing the likeli Add to Reading List Source URL: www.designinference.com Language: English - Date: 2012-05-23 07:37:37 Statistical inference Bayesian statistics Design of experiments Epistemology Statistical hypothesis testing Bayesian inference Minimum description length Scientific method Likelihood function Statistics Science Hypothesis testing
738	SMT SCORING SYSTEM This document describes the scoring system for the Stanford Math Tournament. We begin by giving an overview of the changes to scoring and a non-technical description of the scoring rules. Then, we give Add to Reading List Source URL: sumo.stanford.edu Language: English - Date: 2014-05-28 23:53:37 Mathematics Generalized functions Educational psychology Rasch model ΔP Item response theory Distribution Likelihood function Statistics Psychometrics Statistical models
739	Inference in Dynamic Discrete Choice Models With Serially Correlated Unobserved State Variables Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:54 Bayes estimator Gibbs sampling Likelihood function Expectation–maximization algorithm Estimation theory Statistics Maximum likelihood
740	Training Products of Experts by Minimizing Contrastive Divergence Geoffrey E. Hinton presented by Yuxiong Wang[removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-21 13:47:39 Mixture model Product of Experts Probability distribution Gaussian function Maximum likelihood Statistics Machine learning Probability and statistics

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