Improving predictive inference under covariate shift by weighting the log-likelihood function
type: Item
instance of: scholarly article
title: Improving predictive inference under covariate shift by weighting the log-likelihood function
zbMATH Open document ID: 0958.62011
DOI: 10.1016/S0378-3758(00)00115-4
author: Hidetoshi Shimodaira
published in: Journal of Statistical Planning and Inference
publication date: 2001-04-09T00:00:00Z
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62J99
Mathematics Subject Classification ID: 62B10
zbMATH DE Number: 1546714
zbMATH Keywords: Akaike information criterion
zbMATH Keywords: importance sampling
zbMATH Keywords: Kullback-Leibler divergence
zbMATH Keywords: misspecification
zbMATH Keywords: weighted least squares
MaRDI profile type: Publication
cites work: A new look at the statistical model identification
cites work: Differential-geometrical methods in statistics
cites work: Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
cites work: An Akaike information criterion for model selection in the presence of incomplete data.
cites work: Q3687500
cites work: Approximate predictive likelihood
cites work: Asymptotic prediction analysis
cites work: The geometry of exponential families
cites work: Robust Estimation: A Weighted Maximum Likelihood Approach
cites work: Q3218923
cites work: Q3723487
cites work: Asymptotic Expansions Associated with Posterior Distributions
cites work: On asymptotic properties of predictive distributions
cites work: Generalised information criteria in model selection
cites work: Efficiency versus robustness: The case for minimum Hellinger distance and related methods
cites work: Q3816820
cites work: Weighting for Unequal Selection Probabilities in Multilevel Models
cites work: Q4849952
cites work: Q3993413
cites work: Maximum Likelihood Estimation of Misspecified Models
cites work: Q4845394
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description: scientific article; zbMATH DE number 1546714