Semi-supervised inference for nonparametric logistic regression

Cites Work

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Local case-control sampling: efficient subsampling in imbalanced data sets
Variable selection in nonparametric additive models
Variable kernel density estimation
A practical guide to splines
Projected estimators for robust semi-supervised classification
Two estimators of the mean of a counting process with panel count data.
Weak convergence and empirical processes. With applications to statistics
Semi-supervised inference: general theory and estimation of means
Safe semi-supervised learning based on weighted likelihood
Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters
Efficient and adaptive linear regression in semi-supervised settings
Local and global asymptotic inference in smoothing spline models
Asymptotic analysis of penalized likelihood and related estimators
Parametric Models for Response-Biased Sampling
Spline-based semiparametric projected generalized estimating equation method for panel count data
A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data
Statistics in Epidemiology: The Case-Control Study
Sieve maximum likelihood regression analysis of dependent current status data
Introduction to Semi-Supervised Learning
Probability estimation for large-margin classifiers
Maximum Likelihood Estimator for Choice-Based Samples
The Estimation of Choice Probabilities from Choice Based Samples
Asymptotic Statistics
Fitting regression models to case-control data by maximum likelihood
Regression Analysis with Response-selective Sampling
Case-cohort and case-control analysis with Cox's model
Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
Semisupervised Inference for Explained Variance in High Dimensional Linear Regression and its Applications
A NONPARAMETRIC REGRESSION MODEL FOR PANEL COUNT DATA ANALYSIS
Hazard analysis. I
Estimation of the mean function with panel count data using monotone polynomial splines
Introduction to nonparametric estimation
Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data
Semi-Supervised Linear Regression
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design

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