Recent Advances in Nonparametric Instrumental Regression Recent Advances in Nonparametric Instrumental Regression Overview Overview

Source URL: www.healtheconometrics.org

• Statistics
• Nonparametric statistics
• Statistical theory
• Estimation theory
• Regression analysis
• Nonparametric regression
• Kernel smoother
• Degrees of freedom
• Instrumental variable
• Kernel regression
• Statistical model
• Semiparametric regression

Ann Inst Stat Math:725–764 DOIs10463Parameter estimation for a generalized semiparametric model with repeated measurements Shujie Ma · Zijian Huang · Chih-Ling Tsai

Source URL: www.ism.ac.jp

• Statistical inference
• Statistical theory
• Statistical models
• Estimation theory
• Econometrics
• Semiparametric model
• Nonparametric statistics
• Regression analysis
• Statistics
• Estimator

A Semiparametric Model for Heterogeneous Panel Data with Fixed Effects Lena K¨orber∗ London School of Economics and Bank of England Oliver Linton†

Source URL: www.statistik.uni-bonn.de

• Regression analysis
• Estimation theory
• Statistical theory
• Econometrics
• Parametric statistics
• Instrumental variable
• Linear regression
• Matrix
• Fixed effects model
• Degrees of freedom
• Normal distribution
• Covariance

CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/

Source URL: www.econ.ku.dk

• Statistical theory
• Regression analysis
• Statistical models
• Econometrics
• Robust statistics
• Semiparametric model
• Instrumental variable
• Completeness
• Nonparametric statistics

DOI: j01584.x Biometrics 67, 1330–1339 DecemberSmoothing Spline ANOVA Frailty Model for Recurrent Event Data

Source URL: www.pstat.ucsb.edu

• Statistical models
• Regression analysis
• Statistical tests
• Statistical theory
• Parametric statistics
• Proportional hazards model
• Survival analysis
• Semiparametric model
• Degrees of freedom
• Analysis of variance
• Normal distribution
• F-test

Stochastic Search for Semiparametric Linear Regression Models Lutz D¨umbgen∗ (University of Bern) Richard J. Samworth† (University of Cambridge) Dominic Schuhmacher∗ (University of Bern) June 2011, revised October

Source URL: www.statslab.cam.ac.uk

D:/Arbeit/VWL und Ökonometrie/Instrumental variables/Semiparametric normal IV regression/revision final/SemiInvFeb101.dvi

Source URL: www2.bc.edu

Semiparametric Efficiency for the Quantile-Regression-Based L-Estimation Takayuki Shiohama Faculty of Engineering, Tokyo University of Science Hiroyuki Taniai School of International Liberal Studies, Waseda University

Source URL: stat.w3.kanazawa-u.ac.jp

Marginal set likelihood for semiparametric copula estimation Peter D. Hoff 1 Working Paper no. 65 Center for Statistics and the Social Sciences University of Washington Seattle, WA

Source URL: www.csss.washington.edu

• Multivariate statistics
• Regression analysis
• Copula
• Statistical dependence
• Multivariate normal distribution
• Normal distribution
• Conjugate prior
• Likelihood function
• Marginal likelihood
• Statistics
• Bayesian statistics
• Estimation theory

Structured Additive Regression Models: An R Interface to BayesX Nikolaus Umlauf, Thomas Kneib, Stefan Lang, Achim Zeileis http://eeecon.uibk.ac.at/~umlauf/

Source URL: bayesr.r-forge.r-project.org

• Semiparametric regression
• Generalized additive model
• Additive model
• Linear regression
• Statistics
• Regression analysis
• Generalized linear model