Implicit profiling estimation for semiparametric models with bundled parameters

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
Cox's regression model for counting processes: A large sample study
Semiparametric inference in a GARCH-in-mean model
A two-step Newton-type method for solving system of absolute value equations
Parameter cascades and profiling in functional data analysis
Estimation of sample selection bias models by the maximum likelihood estimator and Heckman's two-step estimator
Recursive estimation in large panel data models: theory and practice
SEMIPARAMETRIC ESTIMATION WITH GENERATED COVARIATES
A semiparametric mixture cure survival model for left-truncated and right-censored data
A Two-Step Iterative Algorithm For Estimation In Nonlinear Mixed-Effect Models With An Evaluation In Population Pharmacokinetics
Generalized Partially Linear Single-Index Models
Double-Semiparametric Method for Missing Covariates in Cox Regression Models
On Profile Likelihood
A SIMPLE ITERATIVE Z-ESTIMATOR FOR SEMIPARAMETRIC MODELS
An Estimation Method for the Semiparametric Mixed Effects Model
Efficient Quantile Regression Analysis With Missing Observations
Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
Smoothing Spline ANOVA Models

This page was built for publication: Implicit profiling estimation for semiparametric models with bundled parameters

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6581323)