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Nonparametric statistics
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#	Item
261	Statistics, Probability, Distributions, & Error Propagation James R. Graham[removed] Add to Reading List Source URL: ugastro.berkeley.edu Language: English - Date: 2010-08-12 13:41:57 Robust statistics Regression analysis Absolute deviation Mode Median Errors and residuals in statistics Arithmetic mean Nonparametric skew Standard deviation Statistics Means Summary statistics
262	Introduction of making guidance and selecting predictors Koshiro DEHARA Forecast Unit Climate Prediction Division Add to Reading List Source URL: ds.data.jma.go.jp Language: English - Date: 2011-08-09 01:18:13 Linear regression Errors and residuals in statistics Nonparametric regression Statistics Regression analysis Econometrics
263	Estimating Term Structure Using Nonlinear Splines: A Penalized Likelihood Approach Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:16:02 Interpolation Estimation theory Smoothing spline B-spline Yield curve Normal distribution Nonparametric regression Bond valuation Linear regression Statistics Regression analysis Splines
264	Developments in the Analysis of Spatial Data Robinson, P. M. Department of Economics, London School of Economics Email: Keywords: Spatial data, Correlation, Statistical inference EXTENDED ABSTRACT Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:11:46 Statistical theory Spatial data analysis Non-parametric statistics Nonparametric regression Linear regression Spatial analysis Spatial econometrics Kernel regression Spatial dependence Statistics Econometrics Regression analysis
265	Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies ⋆ Emily B. Fox ∗ Erik B. Sudderth ∗∗ Michael I. Jordan ∗∗ Alan S. Willsky ∗ ∗ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:56 Probability Hidden Markov model Markov chain Conjugate prior Forward–backward algorithm Normal distribution Mixture model Statistics Markov models Probability and statistics
266	A Bayesian Nonparametric Approach to Clustering Data from Underwater Robotic Surveys Daniel M. Steinberg, Ariell Friedman, Oscar Pizarro and Stefan B. Williams Abstract The use of robots for scientific mapping and explo Add to Reading List Source URL: www.isrr-2011.org Language: English - Date: 2011-08-18 11:40:14 Statistical models Statistical theory Cluster analysis Expectation–maximization algorithm Variational Bayesian methods Dirichlet process Mixture model Parametric model Bayesian inference Statistics Bayesian statistics Machine learning
267	SPM Users Guide RandomForests Modeling Basics This guide provides an introduction into RandomForests Modeling Basics. Title: RandomForests Modeling Basics Short Description: This guide provides an introduction into Rando Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:46 Statistical inference Econometrics Statistical methods Cross-validation Bootstrapping K-nearest neighbor algorithm Nonparametric regression Statistics Machine learning Regression analysis
268	Categorical Data Analysis This course introduces methods for analyzing response data that are categorical rather than continuous. Participants will learn about the characteristics of different kinds of categorical respon Add to Reading List Source URL: www.fas.nus.edu.sg Language: English - Date: 2015-02-17 00:40:23 Actuarial science Scientific method Statistical models Nonparametric regression Categorical data Logistic regression Linear regression Data analysis GAUSS Statistics Regression analysis Econometrics
269	26th European Meeting of Statisticians, Toruń 2006 COMPLETE PROGRAM Monday, July 24th OPENING CEREMONY 8:30-8:50 Add to Reading List Source URL: www.ems2006.umk.pl Language: English - Date: 2006-07-23 17:15:28 Econometrics Statistical methods Statistical theory Nonparametric regression Robust regression Estimation theory Optimal design Resampling Loss function Statistics Regression analysis Statistical inference
270	SPM Users Guide Introducing TreeNet This guide describes the TreeNet Product and illustrates some practical examples of its basic usage and approach Introducing TreeNet Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:37 Linear regression Overfitting Gradient boosting Feature selection Nonparametric regression Predictive analytics Statistics Regression analysis Data mining

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