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Parametric model
Results: 583

#	Item
361	-6Ê Silva Fennica[removed]research articles Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 04:22:19 Estimation theory Statistical inference Bayes estimator Bayesian inference Normal distribution Prior probability Parametric model Diameter at breast height Statistics Statistical theory Bayesian statistics
362	February 20, 2014 Time: 10:25am fm.tex Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2014-04-07 17:06:48 Econometrics Bayesian inference Robust statistics Non-parametric statistics Bayes factor Mixture model Bootstrapping Regression analysis Linear regression Statistics Statistical inference Bayesian statistics
363	Calibrating the COCOMO II Post-Architecture Model Bradford Clark Center for Software Engg. Computer Science Department Univ. of Southern California Los Angeles, CA 90089, USA Add to Reading List Source URL: sunset.usc.edu Language: English - Date: 1998-06-23 11:05:39 COCOMO Software metrics Barry Boehm Software development process Source lines of code Estimation Regression analysis Calibration Software parametric models Statistics Project management Software development
364	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:16:50 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Matrix norm Statistics Estimation theory Statistical theory
365	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory
366	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:22:51 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Consistent estimator Statistics Estimation theory Statistical theory
367	ST01CH11-Wainwright ARI Annual Review of Statistics and Its Application[removed]:[removed]Downloaded from www.annualreviews.org by ${individualUser.displayName} on[removed]For personal use only. Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-01-12 15:08:52 Estimation theory Linear algebra Statistical theory Econometrics M-estimators Fisher information Tikhonov regularization Maximum likelihood Parametric model Statistics Algebra Mathematics
368	Communication-Efficient Algorithms for Statistical Optimization 1 Yuchen Zhang1 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:54:22 M-estimator Parametric model Likelihood function Score Bootstrapping Stochastic approximation Loss function Big O notation Maximum likelihood Statistics Estimation theory Fisher information
369	gsl_stats March 24, 2009 Modeling with Data gsl_stats March 24, 2009 Add to Reading List Source URL: ben.klemens.org Language: English - Date: 2009-03-24 10:44:30 Statistical theory Robust statistics Scientific method Estimation theory Collective intelligence Mathematical model Non-parametric statistics Ben Klemens Maximum likelihood Science Statistics Mathematical software
370	Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data∗ Ashok N. Srivastava, Ph.D.† September 15, 2003 This paper was submitted to the 2004 SIAM Data Mining Conference on September 15, 2003. Add to Reading List Source URL: www.riacs.edu Language: English - Date: 2006-05-22 00:23:38 Cluster analysis Fisher kernel Information retrieval Gaussian function Mixture model Kernel Dirac delta function Expectation–maximization algorithm Support vector machine Statistics Non-parametric statistics Statistical classification

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