Saved in:
| Main Authors: | Fortini, Sandra, Petrone, Sonia |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1902.10708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exchangeability, prediction and predictive modeling in Bayesian statistics
by: Fortini, Sandra, et al.
Published: (2024)
by: Fortini, Sandra, et al.
Published: (2024)
Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
by: Favaro, Stefano, et al.
Published: (2024)
by: Favaro, Stefano, et al.
Published: (2024)
Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)
by: Dixit, Vaidehi, et al.
Published: (2023)
Confidence set for mixture order selection
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
Anytime-valid FDR control with the stopped e-BH procedure
by: Wang, Hongjian, et al.
Published: (2025)
by: Wang, Hongjian, et al.
Published: (2025)
The Root Finding Problem Revisited: Beyond the Robbins-Monro procedure
by: Yu, Yue, et al.
Published: (2025)
by: Yu, Yue, et al.
Published: (2025)
Haussdorff consistency of MLE in folded normal and Gaussian mixtures
by: Mallik, Koustav
Published: (2025)
by: Mallik, Koustav
Published: (2025)
Bringing closure to FDR control: beating the e-Benjamini-Hochberg procedure
by: Xu, Ziyu, et al.
Published: (2025)
by: Xu, Ziyu, et al.
Published: (2025)
An improved nonparametric test and sample size procedures for the randomized complete block designs
by: Jan, Show-Li, et al.
Published: (2025)
by: Jan, Show-Li, et al.
Published: (2025)
Tiny but uniform improvements of adaptive BH procedures via compound e-values
by: Ignatiadis, Nikolaos, et al.
Published: (2026)
by: Ignatiadis, Nikolaos, et al.
Published: (2026)
On the Hierarchical Bayes justification of Empirical Bayes Confidence Intervals
by: Sen, Aditi, et al.
Published: (2025)
by: Sen, Aditi, et al.
Published: (2025)
Testing common structure in high-dimensional factor models: change-point and two-sample procedures
by: Düker, Marie-Christine, et al.
Published: (2024)
by: Düker, Marie-Christine, et al.
Published: (2024)
Improving online FDR procedures via online analogs of e-closure and compound e-values
by: Xu, Ziyu, et al.
Published: (2026)
by: Xu, Ziyu, et al.
Published: (2026)
A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
by: Park, Joonha, et al.
Published: (2026)
by: Park, Joonha, et al.
Published: (2026)
Empirical Bayes in Bayesian learning: understanding a common practice
by: Rizzelli, Stefano, et al.
Published: (2024)
by: Rizzelli, Stefano, et al.
Published: (2024)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)
by: Liu, Hua, et al.
Published: (2020)
De Finetti + Sanov = Bayes
by: Polson, Nicholas G., et al.
Published: (2025)
by: Polson, Nicholas G., et al.
Published: (2025)
Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)
by: Astfalck, Lachlan, et al.
Published: (2024)
Exact two-stage finite-mixture representations for species sampling processes
by: Mena, Ramsés H., et al.
Published: (2025)
by: Mena, Ramsés H., et al.
Published: (2025)
A principled framework for uncertainty decomposition in TabPFN
by: Fortini, Sandra, et al.
Published: (2026)
by: Fortini, Sandra, et al.
Published: (2026)
Quasi-Bayesian sequential deconvolution
by: Favaro, Stefano, et al.
Published: (2024)
by: Favaro, Stefano, et al.
Published: (2024)
Constrained Denoising, Empirical Bayes, and Optimal Transport
by: Jaffe, Adam Quinn, et al.
Published: (2025)
by: Jaffe, Adam Quinn, et al.
Published: (2025)
Empirical Bayes factors for common hypothesis tests
by: Dudbridge, Frank
Published: (2023)
by: Dudbridge, Frank
Published: (2023)
Moment Martingale Posteriors for Semiparametric Predictive Bayes
by: Yung, Yiu Yin, et al.
Published: (2025)
by: Yung, Yiu Yin, et al.
Published: (2025)
Priors for second-order unbiased Bayes estimators
by: Sakai, Mana, et al.
Published: (2024)
by: Sakai, Mana, et al.
Published: (2024)
Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)
by: Hayashi, Yoshiko
Published: (2025)
Learning large softmax mixtures with warm start EM
by: Bing, Xin, et al.
Published: (2024)
by: Bing, Xin, et al.
Published: (2024)
Optimal information deletion and Bayes' theorem
by: Montcho, Hans, et al.
Published: (2026)
by: Montcho, Hans, et al.
Published: (2026)
E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)
by: Chugg, Ben, et al.
Published: (2026)
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)
by: Kim, Taehyun, et al.
Published: (2026)
Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
by: Kim, Taehyun
Published: (2026)
by: Kim, Taehyun
Published: (2026)
Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
by: Okada, Kensuke
Published: (2026)
by: Okada, Kensuke
Published: (2026)
Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)
by: Tang, Yiqi, et al.
Published: (2023)
Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
by: Machalová, Jitka, et al.
Published: (2026)
by: Machalová, Jitka, et al.
Published: (2026)
Empirical partially Bayes multiple testing and compound $χ^2$ decisions
by: Ignatiadis, Nikolaos, et al.
Published: (2023)
by: Ignatiadis, Nikolaos, et al.
Published: (2023)
Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
by: Sadhukhan, Tathagata, et al.
Published: (2024)
by: Sadhukhan, Tathagata, et al.
Published: (2024)
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
by: Banerjee, Trambak, et al.
Published: (2019)
by: Banerjee, Trambak, et al.
Published: (2019)
Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
by: Greenshtein, Eitan
Published: (2024)
by: Greenshtein, Eitan
Published: (2024)
Nonparametric Empirical Bayes Confidence Intervals
by: Xie, Zhen
Published: (2026)
by: Xie, Zhen
Published: (2026)
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
by: Shen, Yandi, et al.
Published: (2022)
by: Shen, Yandi, et al.
Published: (2022)
Similar Items
-
Exchangeability, prediction and predictive modeling in Bayesian statistics
by: Fortini, Sandra, et al.
Published: (2024) -
Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
by: Favaro, Stefano, et al.
Published: (2024) -
Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023) -
Confidence set for mixture order selection
by: Casa, Alessandro, et al.
Published: (2025) -
Anytime-valid FDR control with the stopped e-BH procedure
by: Wang, Hongjian, et al.
Published: (2025)