Bias in parametric estimation: reduction and useful side-effects

DOI10.1002/WICS.1296zbMATH Open1545.62081MaRDI QIDQ6604399

Ioannis Kosmidis

Publication date: 12 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

indirect inferencepenalized likelihoodinfinite estimatesjackknife/bootstrapseparation in models with categorical responses

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Bias reduction in exponential family nonlinear models
• Indirect inference for dynamic panel models
• Exact convergence rate of bootstrap quantile variance estimator
• Defining the curvature of a statistical problem (with applications to second order efficiency)
• The incidental parameter problem since 1948
• A modified score function estimator for multinomial logistic regression in small samples.
• A generic algorithm for reducing bias in parametric estimation
• A third-order bias corrected estimate in generalized linear models
• The indirect method: inference based on intermediate statistics -- a synthesis and examples
• Folklore theorems, implicit maps, and indirect inference
• Empirical bootstrap bias correction and estimation of prediction mean square error in small area estimation
• Multinomial logit bias reduction via the Poisson log-linear model
• NOTES ON BIAS IN ESTIMATION
• On the existence of maximum likelihood estimates in logistic regression models
• Partial Proportional Odds Models for Ordinal Response Variables
• Bias Correction in Generalized Nonlinear Models with Dispersion Covariates
• On beta regression residuals
• Bias in nonlinear regression
• Improved estimators for generalized linear models with dispersion covariates
• Likelihood-Based Methods for Bias Reduction in Limiting Dilution Assays
• Bias reduction of maximum likelihood estimates
• Bias correction in generalised linear mixed models with a single component of dispersion
• On Bias Reduction in Estimation
• Improved Estimation in Cumulative Link Models
• An invariant form for the prior probability in estimation problems

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