INFORMATION THEORY AND FLEXIBLE HIGH-DIMENSIONAL NON-LINEAR FUNCTION ESTIMATION Andrew R. Barron YALE U NIVERSITY D EPARTMENT OF S TATISTICS

Source URL: www.stat.yale.edu

2708 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 11, NOVEMBER 2004 Exact Minimax Strategies for Predictive Density Estimation, Data Compression, and Model Selection

Source URL: www.stat.yale.edu

Probab. Theory Relat. Fields 113, 415–On rate and sharp optimal estimation? Sam Efromovich Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA

Source URL: www.stat.yale.edu

Estimation and Accuracy after Model Selection Bradley Efron∗† Stanford University Abstract Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider

Source URL: statweb.stanford.edu

Model selection, estimation, and bootstrap smoothing Bradley Efron∗ Stanford University Abstract Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider

Source URL: statweb.stanford.edu

Multivariate elliptically contoured stable distributions: theory and estimation John P. Nolan American University Revised 31 October 2006 Abstract

Source URL: academic2.american.edu

Label Switch in Mixture Model and Relabeling Algorithm           Project for Reading Course Prepared by: Fanfu Xie, ZhengFei Chen Label Switch in Mixture Model and Relabeling Algorithm

Source URL: probability.ca

• Estimation theory
• Computational statistics
• Monte Carlo methods
• Bayesian statistics
• Mixture model
• Markov chain Monte Carlo
• Markov chain
• Mixture distribution
• Gibbs sampling
• Statistics
• Probability and statistics
• Markov models

A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams

Source URL: europa.nvc.cs.vt.edu

• Estimation theory
• Kernel density estimation
• KDE
• Density estimation
• Maximum likelihood
• Estimator
• Multivariate kernel density estimation
• Statistics
• Non-parametric statistics
• Statistical inference

Some notes on efficient computing and setting up high performance computing environments Andrew O. Finley Department of Forestry, Michigan State University, Lansing, Michigan. February 4, 2015

Source URL: blue.for.msu.edu

• Hájek–Le Cam convolution theorem
• Parametric model
• Estimation theory
• Statistics
• Statistical theory

Overview of data assimilation developments in LACE Gergely Bölöni, Edit Adamcsek, Máté Mile, András Horányi, Mihály Szűcs, Alena Trojáková, Antonin Bucanek, Patrik Benacek, Xin Yan, Florian Meier, Tomislav Kova

Source URL: srnwp.met.hu

• Bayesian statistics
• Estimation theory
• Statistical forecasting
• Atmospheric dynamics
• Control theory
• Data assimilation
• Vorticity
• Exeter
• Normal distribution
• Atmospheric sciences
• Meteorology
• Local government in England