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Nonparametric statistics
Results: 463

#	Item
371	Using Stressor-response Relationships to Derive Numeric Nutrient Criteria Add to Reading List Source URL: www.ok.gov Language: English - Date: 2013-11-26 18:14:49 Statistical inference Estimation theory Parametric statistics Quantile regression Linear regression Prediction interval Simple linear regression Q-Q plot Nonparametric regression Statistics Regression analysis Econometrics
372	Package ‘PredictABEL’ July 2, 2014 Title Assessment of risk prediction models Version[removed]Date[removed]Author Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:13:29 Linear regression Hosmer–Lemeshow test Multicollinearity SPSS SAS Unit-weighted regression Nonparametric regression Statistics Regression analysis Logistic regression
373	Table of Contents 1. Archipelago: Nonparametric Bayesian Semi-Supervised Learning ........................................................ 1 Ryan Adams and Zoubin Ghahramani 2. Tractable Nonparametric Bayesian Inference Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-06-20 15:37:14 Networks Bayesian statistics Probability theory Supervised learning Bayesian network Structured prediction Regularization Linear classifier Unsupervised learning Statistics Machine learning Graphical models
374	Gaussian Process Product Models for Nonparametric Nonstationarity Ryan Prescott Adams Oliver Stegle Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-13 10:11:12 Linear filters Exponentials Regression analysis Gaussian process Normal distribution Kalman filter Linear regression Kriging Mixture model Statistics Estimation theory Econometrics
375	Accepted to the 11th IEEE International Conference on Computer Vision (ICCV[removed]Winner of the David Marr Prize for Best Paper Add to Reading List Source URL: midag.cs.unc.edu Language: English - Date: 2007-10-19 12:51:24 Econometrics Estimation theory Statistical theory Kernel regression Nonparametric regression Kernel density estimation Errors and residuals in statistics Diffeomorphism Kernel smoother Statistics Non-parametric statistics Regression analysis
376	Local Likelihood Modeling of Temporal Text Streams Guy Lebanon Yang Zhao Department of Statistics, Purdue University – West Lafayette, IN 47907 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 14:30:50 M-estimators Regression analysis Econometrics Maximum likelihood Nonparametric regression Likelihood principle Likelihood function Kernel smoother Expectation–maximization algorithm Statistics Estimation theory Non-parametric statistics
377	PLNPDF Auxillary PLNPDF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:31:22 Normal distribution Log-normal distribution Cumulative distribution function Probability distribution Summary statistics Data analysis Generalized normal distribution Nonparametric skew Statistics Mathematical analysis Probability and statistics
378	Big Data: New Tricks for Econometrics Hal R. Varian∗ June 2013 Revised: April 14, 2014 Abstract Add to Reading List Source URL: people.ischool.berkeley.edu Language: English - Date: 2014-04-14 14:56:01 Ensemble learning Regression analysis Data analysis Data mining Random forest Logistic regression Decision tree learning Data set Nonparametric regression Statistics Machine learning Decision trees
379	Statistical Modelling 2003; 3: 215–232 Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation Sophia Rabe-Hesketh 1 , Andrew Pickles2 and Anders Skrondal3 Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2008-12-14 00:53:25 Econometrics Estimation theory Actuarial science Linear regression Proportional hazards models Logistic regression Empirical Bayes method Errors-in-variables models Generalized linear model Statistics Regression analysis Statistical models
380	Learning Nonparametric Kernel Matrices from Pairwise Constraints Steven C. H. Hoi† [removed] Rong Jin‡ [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:23:58 Multivariate statistics Geostatistics Operations research Linear algebra Matrix theory Support vector machine Cluster analysis Matrix Positive-definite kernel Statistics Algebra Mathematics

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