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Sampling theory
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#	Item
241	Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning Yo Ehara Yusuke Miyao NII Add to Reading List Source URL: emnlp2014.org Language: English - Date: 2014-11-10 06:12:42 Graph theory Mathematics Graph
242	Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning Yusuke Miyao Yo Ehara∗ National Institute of National Institute of Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2014-10-20 22:53:22 Graph theory Graph coloring Graph operations
243	Annealing Between Distributions by Averaging Moments Chris J. Maddison Dept. of Comp. Sci. University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-09-10 00:02:55 Importance sampling Variance reduction Exponential function Statistics Statistical theory Mathematical analysis Mathematics Monte Carlo methods
244	Series expansions of Brownian motion and the unscented particle filter October 15, 2013 Abstract The discrete-time filtering problem for nonlinear diffusion processes is computationally intractable in general. However, i Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-11-26 10:22:33 Control theory Monte Carlo methods Stochastic processes Robot control Particle filter Unscented transform Normal distribution Brownian motion Importance sampling Statistics Probability and statistics Estimation theory
245	Integration of Matrix Sampling and Multiple-Frame Methodology John L. Eltinge U.S. Bureau of Labor Statistics, Washington, DC USA Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Sampling Marketing Evaluation methods Research methods Data collection Official statistics Sample size determination Linear regression Statistical theory Statistics Science Survey methodology
246	PIRLS Technical Report, Chapter 12, Statistical Analysis and Reporting of the PIRLS Data Add to Reading List Source URL: timssandpirls.bc.edu Language: English - Date: 2003-04-09 04:19:57 Statistical inference Statistical theory Measurement Resampling Variance T-statistic Standard error Statistic Stratified sampling Statistics Sampling Data analysis
247	Consistency of Semiparametric Maximum Likelihood Estimators for Two-Phase Sampling Aad van der Vaart; Jon A. Wellner The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 29, No. 2. (Jun., 2001), Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-05-15 21:45:27 Regression analysis M-estimators Maximum likelihood Semiparametric regression Invariant estimator Statistics Estimation theory Statistical theory
248	PDF Document Add to Reading List Source URL: www.iattc.org Language: English - Date: 2012-10-02 14:02:30 Fisheries Estimation theory Stock assessment Seine fishing Estimator Sampling Fishing Fisheries science Fishing industry
249	DOC Document Add to Reading List Source URL: www.nber.org Language: English - Date: 2012-06-15 13:45:14 Sampling Probability theory Variance Hadamard matrix Standard error Stratified sampling SUDAAN Factorial experiment Statistics Data analysis Matrices
250	PDF Document Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:24 Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks

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