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Bias reduction and model selection in misspecified models

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Publication:6106226
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DOI10.1080/03610926.2021.1959613OpenAlexW3189585881MaRDI QIDQ6106226

Hidenori Okumura

Publication date: 27 June 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2021.1959613

zbMATH Keywords

bias reductionmodel selectionpenalized likelihood


Mathematics Subject Classification ID

Statistics (62-XX)




Cites Work

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  • Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
  • Nearly unbiased variable selection under minimax concave penalty
  • One-step sparse estimates in nonconcave penalized likelihood models
  • Estimating the dimension of a model
  • Model selection with data-oriented penalty
  • Minimization of discontinuous cost functions by smoothing
  • Matrix Analysis
  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  • Sparse Estimation of Generalized Linear Models (GLM) via Approximated Information Criteria
  • Bias reduction of maximum likelihood estimates
  • Model Selection Principles in Misspecified Models
  • Maximum Likelihood and Minimum | chi 2 Estimates of the Logistic Function
  • Maximum Likelihood Estimation of Misspecified Models
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