Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine

Source URL: www.ics.uci.edu

• Information theory
• Statistical natural language processing
• Categorical data
• Probabilistic latent semantic analysis
• Expectation–maximization algorithm
• Perplexity
• Entropy
• Kullback–Leibler divergence
• Likelihood function
• Statistics
• Estimation theory
• Statistical theory

The estimation uncertainty of permanent-transitory decompositions in co-integrated systems∗ by Sven Schreiber† this version: February 2014

Source URL: econ.schreiberlin.de

• Regression analysis
• Measurement
• Multivariate statistics
• Maximum likelihood
• Vector autoregression
• Confidence interval
• Symbol
• Statistics
• Econometrics
• Estimation theory

arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group

Source URL: www.ics.uci.edu

• Statistical models
• Statistical inference
• Expectation–maximization algorithm
• Missing data
• Variational Bayesian methods
• Maximum likelihood
• Normal distribution
• Bayesian network
• Marginal likelihood
• Statistics
• Estimation theory
• Bayesian statistics

cover-datafirst-saldru_latest.indd

Source URL: www.datafirst.uct.ac.za

• Probability and statistics
• Statistical inference
• M-estimators
• Signal processing
• Maximum likelihood
• Normal distribution
• Principle of maximum entropy
• Estimator
• Entropy
• Statistics
• Statistical theory
• Estimation theory

Note on “Obtaining the Maximum Likelihood Estimates in Incomplete R  C Contingency Tables...” Michael Friendly, York University Abstract This note extends the construction of the design matrix used for estimating ce

Source URL: www.datavis.ca

• Design matrix
• Matrix
• Expectation–maximization algorithm
• SAS
• Statistics
• Regression analysis
• 1J

Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap Jeffrey B. Lewis Department of Political Science University of California, Los Angeles Los Angeles, CA 90095

Source URL: www.voteview.com

• Statistical theory
• Data analysis
• Econometrics
• Bootstrapping
• Resampling
• Maximum likelihood
• Estimator
• Efficient estimator
• NOMINATE
• Statistics
• Statistical inference
• Estimation theory

Maximum-likelihood estimation for the offset normal shape distributions using EM Alfred Kume Institute of Mathematics, Statistics and Actuarial Science, University of Kent Canterbury, CT2 7NF,UK

Source URL: www.ics.uci.edu

• Normal distribution
• Multivariate normal distribution
• Complex normal distribution
• Expectation–maximization algorithm
• Moment
• Exponential family
• Statistics
• Mathematical analysis
• Probability and statistics

Statistical Modelling 2008; 8(3): Modelling measurement errors and category misclassifications in multilevel models Harvey Goldstein1 , Daphne Kounali1 and Anthony Robinson2 1 Graduate School of Education, Univ

Source URL: www.bris.ac.uk

• Estimation theory
• Statistical models
• Actuarial science
• Errors-in-variables models
• Instrumental variable
• Normal distribution
• Covariance
• Maximum likelihood
• Variance
• Statistics
• Regression analysis
• Econometrics

Likelihood calculations for vsn Wolfgang Huber April 16, 2015 Contents 1 Introduction

Source URL: bioconductor.org

Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer

Source URL: psych.nyu.edu

• Statistical theory
• Bayesian inference
• Likelihood principle
• Prior probability
• Loss function
• Likelihood function
• Bayes estimator
• Statistics
• Bayesian statistics
• Estimation theory