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Importance sampling
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121	ESTIMATING THE MODEL VARIANCE OF A RANDOMIZATION-CONSISTENT REGRESSION ESTIMATOR Phillip S. Kott and K.R.W . Brewer National Agricultural Statistics Service, Fairfax, VA 20230, USA and Au stralia n National U niversity, Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2010-12-22 12:14:37 Statistical theory Regression analysis Signal processing Bias of an estimator Estimator Variance Covariance Heteroscedasticity-consistent standard errors Importance sampling Statistics Estimation theory Statistical inference
122	Loop Flattening & Spherical Sampling: Highly Efficient Model Reduction Techniques for SRAM Yield Analysis Masood Qazi, Mehul Tikekar, Lara Dolecek, Devavrat Shah, and Anantha Chandrakasan Massachusetts Institute of Techn Add to Reading List Source URL: web.mit.edu Language: English - Date: 2010-06-25 00:13:13 Science Importance sampling Variance reduction Sampling Monte Carlo methods Probability and statistics Applied mathematics
123	Breaking the Simulation Barrier: SRAM Evaluation Through Norm Minimization Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha Chandrakasan Department of Electrical Engineering and Computer Science, Massachusetts Institute Add to Reading List Source URL: web.mit.edu Language: English - Date: 2008-09-08 09:04:15 Variance reduction Statistical inference Data analysis Estimation theory Importance sampling Normal distribution Variance Standard deviation Sampling Statistics Probability and statistics Monte Carlo methods
124	Fully Parallel Inference in Markov Logic Networks Kaustubh Beedkar, Luciano Del Corro, Rainer Gemulla Max-Planck-Institut f¨ ur Informatik[removed]Saarbr¨ ucken Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:17 Graph theory Artificial intelligence Theoretical computer science Markov networks Probability theory Markov logic network Markov random field Importance sampling Belief propagation Statistics Graphical models Mathematics
125	Simulation-based Bayesian Econometrics Lectures Instructor: Herman K. van Dijk, Econometric Institute, Erasmus University Rotterdam, Econometrics Department, VU University Amsterdam and Tinbergen Institute. Web: htt Add to Reading List Source URL: www.cfenetwork.org Language: English - Date: 2013-11-28 04:23:37 Economics Bayesian statistics Erasmus University Rotterdam Tinbergen Institute Importance sampling Bayesian econometrics Econometrics Desiderius Erasmus Statistics Probability and statistics Monte Carlo methods
126	Ecological Sampling Design Add to Reading List Source URL: training.fws.gov Language: English - Date: 2014-04-01 14:21:21 Sample size determination Stratified sampling Simple random sample Variance Statistical power Systematic sampling Importance sampling Jan Visman Statistics Sampling techniques Sampling
127	1 Maine Department of Marine Resources Bureau of Public Health Shellfish Growing Area Classification Program: Water Quality Monitoring Volunteer Guidance Document The Importance of a DMR Volunteer Program Add to Reading List Source URL: www.maine.gov Language: English - Date: 2014-02-28 08:25:50 Environmental science Sample Water quality Random sample Statistics Sampling Water pollution
128	Package ‘sampSurf’ July 2, 2014 Type Package Title Sampling Surface Simulation for Areal Sampling Methods Version[removed]Date 27-Jan-2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:24:02 Monte Carlo methods Science Sampling Survey methodology Importance sampling Relascope Line-intercept sampling Class Sampling techniques Statistics Probability and statistics
129	A Statistical Perspective on Algorithmic Leveraging Ping Ma Department of Statistics, University of Georgia, Athens, GA[removed]PINGMA @ UGA . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Econometrics Regression analysis Data analysis Bias of an estimator Variance Linear regression Estimator Importance sampling Bootstrapping Statistics Statistical inference Estimation theory
130	Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models Chong Wang⇤ Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-11-10 21:14:58 Dirichlet process Latent Dirichlet allocation Mixture model Bayesian inference Importance sampling Inference Conjugate prior Hierarchical Bayes model Dirichlet distribution Statistics Bayesian statistics Variational Bayesian methods

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