Image de couverture de livre

Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Greenshtein, Eitan
Format:	Preprint
Publié:	2024
Sujets:	Statistics Theory Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Consistent Empirical Bayes Estimation of the Mean of a Mixing Distribution with Applications to Treatment of Nonresponse
par: Greenshtein, Eitan
Publié: (2025)

Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
par: Shen, Yandi, et autres
Publié: (2022)

Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
par: Wang, Rui, et autres
Publié: (2026)

On the Hierarchical Bayes justification of Empirical Bayes Confidence Intervals
par: Sen, Aditi, et autres
Publié: (2025)

Constrained Denoising, Empirical Bayes, and Optimal Transport
par: Jaffe, Adam Quinn, et autres
Publié: (2025)

Empirical Bayes factors for common hypothesis tests
par: Dudbridge, Frank
Publié: (2023)

Nonparametric Empirical Bayes Confidence Intervals
par: Xie, Zhen
Publié: (2026)

Do we need to estimate the variance in robust mean estimation?
par: Sun, Qiang
Publié: (2021)

On the optimality of coin-betting for mean estimation
par: Clerico, Eugenio
Publié: (2024)

Priors for second-order unbiased Bayes estimators
par: Sakai, Mana, et autres
Publié: (2024)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
par: Kim, Taehyun, et autres
Publié: (2026)

Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
par: Kim, Taehyun
Publié: (2026)

Empirical Bayes inference in sparse high-dimensional generalized linear models
par: Tang, Yiqi, et autres
Publié: (2023)

Empirical partially Bayes multiple testing and compound $χ^2$ decisions
par: Ignatiadis, Nikolaos, et autres
Publié: (2023)

Asymptotics for estimating a diverging number of parameters -- with and without sparsity
par: Gauss, Jana, et autres
Publié: (2024)

Causal inference under transportability assumptions for conditional relative effect measures
par: Wang, Guanbo, et autres
Publié: (2024)

Empirical likelihood for Fréchet means on open books
par: Bharath, Karthik, et autres
Publié: (2024)

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
par: Banerjee, Trambak, et autres
Publié: (2019)

Restricted maximum likelihood estimation in generalized linear mixed models
par: Maestrini, Luca, et autres
Publié: (2024)

Empirical Bayes When Estimation Precision Predicts Parameters
par: Chen, Jiafeng
Publié: (2022)

Rate-optimal estimation of mixed semimartingales
par: Chong, Carsten H., et autres
Publié: (2022)

Asymptotics of predictive distributions driven by sample means and variances
par: Garelli, Samuele, et autres
Publié: (2024)

Models of linkage error for capture-recapture estimation without clerical reviews
par: Dasylva, Abel, et autres
Publié: (2024)

Robust and efficient estimation for the Generalized Extreme-Value distribution with application to flood frequency analysis in the UK
par: Huet, Nathan, et autres
Publié: (2025)

Fiducial inference for partially identified parameters with applications to instrumental variable models
par: Cui, Yifan, et autres
Publié: (2025)

Optimal estimation of the null distribution in large-scale inference
par: Kotekal, Subhodh, et autres
Publié: (2024)

Optimal estimation in private distributed functional data analysis
par: Xue, Gengyu, et autres
Publié: (2024)

On unbiased estimators for functions of the rate parameter of the exponential distribution
par: Vila, Roberto, et autres
Publié: (2025)

Randomization-based Z-estimation for evaluating average and individual treatment effects
par: Qu, Tianyi, et autres
Publié: (2024)

Data integration of non-probability and probability samples with predictive mean matching
par: Chlebicki, Piotr, et autres
Publié: (2024)

Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
par: Li, Harrison H.
Publié: (2024)

Surrogate modeling for probability distribution estimation:uniform or adaptive design?
par: Su, Maijia, et autres
Publié: (2024)

Some bivariate distributions on a discrete torus with application to wind direction datasets
par: Dhakad, Brajesh Kumar, et autres
Publié: (2026)

Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation
par: Wang, Fan, et autres
Publié: (2023)

Bayesian estimation of Unit-Weibull distribution based on dual generalized order statistics with application to the Cotton Production Data
par: Azhad, Qazi J., et autres
Publié: (2025)

Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
par: Lautier, Jackson P., et autres
Publié: (2021)

A note on the relation between one-step, outcome regression and IPW-type estimators of parameters with the mixed bias property
par: Rotnitzky, Andrea, et autres
Publié: (2025)

Exact distribution-free tests of spherical symmetry applicable to high dimensional data
par: Banerjee, Bilol, et autres
Publié: (2024)

Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
par: Bai, Lujia, et autres
Publié: (2023)

The projected isotropic normal distribution with applications in neuroscience
par: Mardia, Kanti V., et autres
Publié: (2026)