Cover Image

An Economical Approach to Design Posterior Analyses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hagar, Luke, Stevens, Nathaniel T.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Power Curve Approximation for Posterior Analyses
by: Hagar, Luke, et al.
Published: (2023)

An Economical Approach to Design with Precision Criteria
by: Hagar, Luke, et al.
Published: (2023)

Posterior Ramifications of Prior Dependence Structures
by: Hagar, Luke, et al.
Published: (2023)

Bioequivalence Design with Sampling Distribution Segments
by: Hagar, Luke, et al.
Published: (2023)

Design of Bayesian A/B Tests Controlling False Discovery Rates and Power
by: Hagar, Luke, et al.
Published: (2023)

Economical Experimental Design with Generalized Posteriors
by: Hagar, Luke, et al.
Published: (2026)

Group Sequential Design with Posterior and Posterior Predictive Probabilities
by: Hagar, Luke, et al.
Published: (2025)

Design of Bayesian Clinical Trials with Clustered Data
by: Hagar, Luke, et al.
Published: (2025)

Bayesian Design of Experiments in the Presence of Nuisance Parameters
by: Golchi, Shirin, et al.
Published: (2025)

An Efficient Approach to Design Bayesian Platform Trials
by: Hagar, Luke, et al.
Published: (2025)

Bioequivalence Design With Sampling Distribution Segments
by: Luke Hagar, et al.
Published: (2025)

An Efficient Framework for Robust Sample Size Determination
by: Hagar, Luke, et al.
Published: (2025)

Risk-Adjusted learning curve assessment using comparative probability metrics
by: Nadi, Adel Ahmadi, et al.
Published: (2025)

Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
by: Zeng, Cheng, et al.
Published: (2024)

Insights on Variance Estimation for Blocked and Matched Pairs Designs
by: Pashley, Nicole E., et al.
Published: (2017)

Posterior shrinkage towards linear subspaces
by: Sewell, Daniel K.
Published: (2024)

Bayesian Variable Selection with the Quasi-Posterior
by: Hadj-Amar, Beniamino, et al.
Published: (2026)

Posterior Projection for Inference in Constrained Spaces
by: Astfalck, Lachlan, et al.
Published: (2018)

Location--Scale Calibration for Generalized Posterior
by: Tamano, Shu, et al.
Published: (2025)

Neural Posterior Estimation for Stochastic Epidemic Modeling
by: Chatha, Prayag, et al.
Published: (2024)

Priors for Reducing Asymptotic Bias of the Posterior Mean
by: Yoichi, Miyata, et al.
Published: (2024)

Post-Processing Posterior Predictive P-values
by: Hjort, Nils Lid, et al.
Published: (2026)

On the Posterior Computation Under the Dirichlet-Laplace Prior
by: Onorati, Paolo, et al.
Published: (2025)

Priors from Envisioned Posterior Judgments: A Novel Elicitation Approach With Application to Bayesian Clinical Trials
by: Ouyang, Yongdong, et al.
Published: (2024)

Predictively Oriented Posteriors
by: McLatchie, Yann, et al.
Published: (2025)

Posterior covariance information criterion for general loss functions
by: Iba, Yukito, et al.
Published: (2022)

Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
by: Ye, Shengbin, et al.
Published: (2025)

Unveiling Complex Territorial Socio-Economic Dynamics: A Statistical Mechanics Approach
by: Massoli, Pierpaolo
Published: (2025)

On the Foundations of the Design-Based Approach
by: Aronow, P. M., et al.
Published: (2025)

Exact Posterior Mean and Covariance for Generalized Linear Mixed Models
by: Zhang, Tonglin
Published: (2024)

Bayesian Doubly Robust Causal Inference via Posterior Coupling
by: Orihara, Shunichiro, et al.
Published: (2025)

Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
by: Zeng, Cheng, et al.
Published: (2025)

Mediation Analyses for the Effect of Antibodies in Vaccination
by: Fay, Michael P., et al.
Published: (2022)

Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs
by: Wang, Lingxiao
Published: (2023)

Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)

Estimating the Sampling Distribution of Posterior Decision Summaries in Bayesian Clinical Trials
by: Golchi, Shirin, et al.
Published: (2023)

Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems
by: Zhang, Rui, et al.
Published: (2025)

Posterior accuracy and calibration under misspecification in Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2023)

Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs
by: Schochet, Peter Z., et al.
Published: (2020)

Collapsible Kernel Machine Regression for Exposomic Analyses
by: McGee, Glen, et al.
Published: (2024)