Semiparametric density estimation under a two-sample density ratio model

From MaRDI portal
Publication:1763104

DOI10.3150/bj/1093265631zbMath1055.62032OpenAlexW2005112370MaRDI QIDQ1763104

Xianqiang Yang

Publication date: 21 February 2005

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3150/bj/1093265631



Related Items

FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA, A Bayesian discriminant analysis method under semiparametric density ratio models, Merging information for a semiparametric projection density estimation, Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation, On symmetric semiparametric two‐sample problem, Semiparametric imputation using conditional Gaussian mixture models under item nonresponse, Maximum approximate Bernstein likelihood estimation in a two-sample semiparametric model, Semiparametric tests for equality of two independent variances, A new classifier for imbalanced data based on a generalized density ratio model, Likelihood-free inference by ratio estimation, Fuzzy density estimation, Least-squares two-sample test, Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies, Detecting abnormal situations using the Kullback-Leibler divergence, Optimal adaptive estimation of the relative density, Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search, Semiparametric regression in testicular germ cell data, Dimensionality reduction for density ratio estimation in high-dimensional spaces, Off-policy temporal difference learning with distribution adaptation in fast mixing chains, Using logistic regression for semiparametric comparison of population means and variances, Projection density estimation under a \(m\)-sample semiparametric model, Out-of-sample fusion in risk prediction, Semiparametric maximum likelihood estimation for a two‐sample density ratio model with right‐censored data



Cites Work