Cover Image

Economical Experimental Design with Generalized Posteriors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hagar, Luke, McGree, James M.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Economical Approach to Design Posterior Analyses
by: Hagar, Luke, et al.
Published: (2024)

General Bayesian L2 calibration of mathematical models
by: Overstall, Antony M., et al.
Published: (2021)

A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
by: Mahendran, Amalan, et al.
Published: (2025)

Gibbs optimal design of experiments
by: Overstall, Antony M., et al.
Published: (2023)

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

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

Bayesian design for mathematical models of fruit growth based on misspecified prior information
by: Najimuddin, Nushrath, et al.
Published: (2024)

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

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

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

A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)

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

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

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

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

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

Bayesian Design for Sampling Anomalous Spatio-Temporal Data
by: Buchhorn, Katie, et al.
Published: (2024)

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

On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
by: Rao, Anup B., et al.
Published: (2024)

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

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

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

Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)

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

An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
by: Li, Ke, et al.
Published: (2025)

Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration
by: Tanaka, Masahiro
Published: (2024)

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

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
by: Azriel, David, et al.
Published: (2022)

Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)

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)

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

Reservoir Designs for Online Paired Experiments
by: Morrison, Tim
Published: (2025)

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

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)

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

Synthetic Controls for Experimental Design
by: Abadie, Alberto, et al.
Published: (2021)

Design and Analysis of Switchback Experiments
by: Bojinov, Iavor, et al.
Published: (2020)

Optimal Stopping for Sequential Bayesian Experimental Design
by: Cheng, Chen, et al.
Published: (2025)