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Nonparametric regression
Results: 308

#	Item
251	Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements Lifeng WANG, Hongzhe L I, and Jianhua Z. H UANG Nonparametric varying-coefficient models are commonly used for analyzin Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2009-11-19 16:32:43 Econometrics Estimation theory Parametric statistics Differential geometry Simple linear regression Differential geometry of curves Linear regression Eigenvalues and eigenvectors Nonparametric regression Statistics Regression analysis Algebra
252	Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines JIANHUA Z. HUANG Department of Statistics, Texas A&M University LIANGYUE ZHANG Retail Financial Services, JPMorgan Ch Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2007-07-31 15:32:26 Statistical inference Regression analysis Statistical models Parametric model Semiparametric model Semiparametric regression Nonparametric regression Estimator Efficient estimator Statistics Statistical theory Estimation theory
253	Functional Coeﬃcient Regression Models for Nonlinear Time Series: A Polynomial Spline Approach JIANHUA Z. HUANG University of Pennsylvania HAIPENG SHEN University of North Carolina at Chapel Hill Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 17:56:42 Numerical analysis Regression analysis Data analysis Time series analysis B-spline Nonparametric regression Smoothing Akaike information criterion Forecasting Statistics Splines Interpolation
254	Jackknife Empirical Likelihood for Estimating Variance in Nonparametric Regression Models Yuan Liu1, Yichuan Zhao1 1Mathematics and Statistics, Georgia State University, Atlanta, GA, United States. I. Summary Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:17:22 Statistical inference Econometrics Non-parametric statistics Resampling Linear regression Estimator Least squares Mean squared error Nonparametric regression Statistics Regression analysis Estimation theory
255	The Nonparametric Metadata Dependent Relational Model Dae Il Kim [removed] Michael C. Hughes [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:38 Autoregressive model Parametric model Dirichlet process Mixture model Function Relational model Regression analysis Statistics Statistical models Markov chain
256	Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate function Li-An Lin, Sheng Luo∗, Bingshu Chen, and Barry Davis Multi-type recurrent events data arise when two or m Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 15:07:22 Statistical methods Regression analysis Statistical models Semiparametric model Statistical power Smoothing spline B-spline Markov chain Non-parametric statistics Statistics Splines Interpolation
257	Identification of Nonlinear Additive Autoregressive Models Jianhua Z. Huang † The Wharton School, University of Pennsylvania, Philadelphia, USA. Lijian Yang Michigan State University, East Lansing, USA. Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 17:56:44 Multivariate adaptive regression splines Smoothing spline Spline Linear regression Additive model Akaike information criterion B-spline Least squares Feature selection Statistics Regression analysis Nonparametric regression
258	P1: OTA c01 JWBK300-Ryan September 25, 2008 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2010-06-14 07:08:44 Logistic regression Simple linear regression Nonparametric regression Ordinary least squares Regression toward the mean Linear least squares Polynomial regression Poisson regression Statistics Regression analysis Linear regression
259	November[removed]CURRICULUM VITAE Ciprian M. Crainiceanu PERSONAL DATA Add to Reading List Source URL: www.biostat.jhsph.edu Language: English - Date: 2013-11-19 10:16:08 Econometrics Statistical methods Psychometrics Evaluation methods Linear regression Statistical inference Nonparametric regression Computational statistics Mixed model Statistics Science Regression analysis
260	i Frank C Porter and Ilya Narsky: Statistical Analysis Techniques in Particle Physics — Chap. c01 — [removed] — page 1 — le-tex i Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2013-10-08 04:01:30 Statistical classification Supervised learning Regression analysis Resampling Unsupervised learning Density estimation Nonparametric regression Statistics Machine learning Non-parametric statistics

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