Partially linear varying coefficient models with missing at random responses - Research Database, The University of York

By the same authors

Robust estimation and inference for general varying coefficients models with missing observations
Bravo, F., 27 Nov 2019
Article in TEST
Semiparametric quantile regression with random censoring
Bravo, F., 10 Sep 2018
Article in Annals of the Institute of Statistical Mathematics
Two-step semiparametric empirical likelihood inference
Bravo, F., Escanciano, J. C. & van Keilegom, I., 19 Jul 2018, (Accepted/In press)
Article in Annals of Statistics
Generalized Empirical Likelihood M Testing for Semiparametric Models with Time Series Data
Bravo, F., Jacho-Chávez, D. T. & Chu, B., 12 Jan 2017
Article in Econometrics and Statistics
Semiparametric estimation of moment conditions models with weakly dependent data
Bravo, F., Chu, B. & Jacho-Chávez, D., 13 Nov 2016
Article in Journal of Nonparametric Statistics

From the same journal

Semiparametric quantile regression with random censoring
Bravo, F., 10 Sep 2018
Article in Annals of the Institute of Statistical Mathematics
Varying coefficients partially linear models with randomly censored data
Bravo, F., 2014
Article in Annals of the Institute of Statistical Mathematics
Estimation and model selection in a class of semiparametric models for cluster data
Li, J., Sun, Y. & Zhang, W., Aug 2012
Article in Annals of the Institute of Statistical Mathematics

Partially linear varying coefficient models with missing at random responses

Research output: Contribution to journal › Article

Published copy (DOI)

10.1007/s10463-012-0391-8

Author(s)

Francesco Bravo

Department/unit(s)

Economics

Publication details

Journal	Annals of the Institute of Statistical Mathematics
Date	Published - Aug 2013
Issue number	4
Volume	65
Number of pages	42
Pages (from-to)	721-762
Original language	English

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations

York staff: edit these data