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Estimation theory
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#	Item
601	Stochastic approximation of score functions for Gaussian processes Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-10 20:17:39 Statistics Estimation theory Statistical theory Algebra of random variables M-estimators Maximum likelihood estimation Fisher information Covariance Multivariate random variable Matrix Variance Estimation of covariance matrices
602	sm_reg_surface_noisy_60_b.eps Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-07 08:16:36 Statistics Machine learning Nonparametric statistics Estimation theory Computational statistics Kernel density estimation Pattern recognition Artificial neural network Mixture model Density estimation Inverse problem Maximum a posteriori estimation
603	Ann Inst Stat Math:301–327 DOIs10463Kernel estimators of mode under ψ-weak dependence Eunju Hwang · Dong Wan Shin Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-03-28 21:34:01 Statistics Estimation theory Nonparametric statistics Statistical theory Estimator Density estimation L-estimator Asymptotic theory Heavy-tailed distribution
604	Implementation of Data Assimilation in ROMS model for Indian Ocean Md. Nurujjaman Amit Apte Add to Reading List Source URL: home.icts.res.in Language: English - Date: 2013-10-08 23:20:16 Atmospheric sciences Meteorology Climatology Climate modeling Oceanography Control theory Bayesian statistics Estimation theory Data assimilation Kalman filter Numerical weather prediction Sea surface temperature
605	Powersharing, Protection, and Peace Scott Gates, Benjamin A. T. Graham, Yonatan Lupu Håvard Strand, Kaare W. Strøm September 17, 2015 Add to Reading List Source URL: yonatanlupu.com Language: English - Date: 2015-09-17 13:55:13 Statistics Regression analysis Statistical models Forms of government Estimation theory Consociationalism Logistic regression Scott Gates Proportional hazards model Factor analysis Binary number Dummy variable
606	Local likelihood estimation for nonstationary random fields Add to Reading List Source URL: www.stat.ucdavis.edu Language: English - Date: 2011-04-15 15:33:05 Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Estimator Parameter Likelihood function Standard deviation Variance function
607	Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-03-28 21:34:01 Statistics Estimation theory Covariance matrix Estimator Maximum likelihood estimation Variance Covariance Regression analysis M-estimator Normal distribution Linear regression Expected value
608	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain∗ Ambuj Tewari† Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-01-11 15:04:36 Statistics Statistical theory Estimation theory Sparse approximation Bias of an estimator Consistent estimator Loss function M-estimator Linear regression Sufficient statistic
609	Introducing Graphical Models to Analyze Genetic Programming Dynamics Erik Hemberg Constantin Berzan Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-12-01 16:11:14 Graphical models Statistical models Statistics Graph theory Computer programming Bayesian network Genetic algorithm Tree Modularity Node Estimation of distribution algorithm Graphical models for protein structure
610	Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Mathematical & Statistical Sciences Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2009-08-28 21:02:53 Probability distributions Estimation theory Econometrics Statistical theory Summary statistics Normal distribution Bayesian network Beta distribution Mode Linear regression Delta method Gamma distribution

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