fdesigns: Bayesian Optimal Designs of Experiments for Functional Models in R
Fuente:
arXiv
Saved in:
| Main Authors: | Michaelides, Damianos, Overstall, Antony, Woods, Dave |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study
by: Michaelides, Damianos, et al.
Published: (2021)
by: Michaelides, Damianos, et al.
Published: (2021)
General Bayesian L2 calibration of mathematical models
by: Overstall, Antony M., et al.
Published: (2021)
by: Overstall, Antony M., et al.
Published: (2021)
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)
by: McGree, James M., et al.
Published: (2023)
Gibbs optimal design of experiments
by: Overstall, Antony M., et al.
Published: (2023)
by: Overstall, Antony M., et al.
Published: (2023)
Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
by: Mao, Yicheng, et al.
Published: (2024)
by: Mao, Yicheng, et al.
Published: (2024)
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026)
by: Sharrock, Louis
Published: (2026)
Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery
by: Dennett, Layna Charlie, et al.
Published: (2023)
by: Dennett, Layna Charlie, et al.
Published: (2023)
Optimal Stopping for Sequential Bayesian Experimental Design
by: Cheng, Chen, et al.
Published: (2025)
by: Cheng, Chen, et al.
Published: (2025)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)
by: Chakraborty, Atlanta, et al.
Published: (2024)
Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
by: Filová, Lenka, et al.
Published: (2025)
by: Filová, Lenka, et al.
Published: (2025)
Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
by: Watson, Samuel I.
Published: (2023)
by: Watson, Samuel I.
Published: (2023)
A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design
by: Strouwen, Arno, et al.
Published: (2026)
by: Strouwen, Arno, et al.
Published: (2026)
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)
by: Abdulsamad, Hany, et al.
Published: (2026)
Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
by: Mäkinen, Sofia, et al.
Published: (2026)
by: Mäkinen, Sofia, et al.
Published: (2026)
bayesCureRateModel: Bayesian Cure Rate Modeling for Time to Event Data in R
by: Papastamoulis, Panagiotis, et al.
Published: (2024)
by: Papastamoulis, Panagiotis, et al.
Published: (2024)
Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
by: Sousa, Pedro Henrique T. O., et al.
Published: (2023)
by: Sousa, Pedro Henrique T. O., et al.
Published: (2023)
nimblewomble: An R package for Bayesian Wombling with nimble
by: Halder, Aritra, et al.
Published: (2025)
by: Halder, Aritra, et al.
Published: (2025)
kDGLM: a R package for Bayesian analysis of Generalized Dynamic Linear Models
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2024)
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2024)
hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
by: Alt, Ethan M., et al.
Published: (2025)
by: Alt, Ethan M., et al.
Published: (2025)
Tutorial on Bayesian Functional Regression Using Stan
by: Jiang, Ziren, et al.
Published: (2025)
by: Jiang, Ziren, et al.
Published: (2025)
Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
by: Im, Seongwon, et al.
Published: (2025)
by: Im, Seongwon, et al.
Published: (2025)
Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)
by: Aquino-López, Marco A., et al.
Published: (2025)
Bayesian Design of Experiments in the Presence of Nuisance Parameters
by: Golchi, Shirin, et al.
Published: (2025)
by: Golchi, Shirin, et al.
Published: (2025)
MOODE: An R Package for Multi-Objective Optimal Design of Experiments
by: Koutra, Vasiliki, et al.
Published: (2024)
by: Koutra, Vasiliki, et al.
Published: (2024)
fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)
by: Maleyeff, Lara, et al.
Published: (2025)
BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
by: Rohloff, Corissa T., et al.
Published: (2026)
by: Rohloff, Corissa T., et al.
Published: (2026)
bayesics: Core Statistical Methods via Bayesian Inference in R
by: Sewell, Daniel K., et al.
Published: (2026)
by: Sewell, Daniel K., et al.
Published: (2026)
Variational Bayesian Optimal Experimental Design with Normalizing Flows
by: Dong, Jiayuan, et al.
Published: (2024)
by: Dong, Jiayuan, et al.
Published: (2024)
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
by: Amestoy, Matteo, et al.
Published: (2026)
by: Amestoy, Matteo, et al.
Published: (2026)
Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior
by: Aguilar, Javier Enrique, et al.
Published: (2022)
by: Aguilar, Javier Enrique, et al.
Published: (2022)
pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)
by: Shi, Skylar, et al.
Published: (2025)
Pseudo-Bayesian Optimal Designs for Fitting Fractional Polynomial Response Surface Models
by: Trinca, Luzia A., et al.
Published: (2025)
by: Trinca, Luzia A., et al.
Published: (2025)
MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models
by: Ji, Heyang, et al.
Published: (2025)
by: Ji, Heyang, et al.
Published: (2025)
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)
by: Li, Wentao, et al.
Published: (2024)
Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)
by: Ghosh, Joyee, et al.
Published: (2025)
Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework
by: Cui, Elvis Han, et al.
Published: (2025)
by: Cui, Elvis Han, et al.
Published: (2025)
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
by: Zhong, Shijie, et al.
Published: (2024)
by: Zhong, Shijie, et al.
Published: (2024)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026)
by: Shen, Wanggang, et al.
Published: (2026)
Similar Items
-
Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study
by: Michaelides, Damianos, et al.
Published: (2021) -
General Bayesian L2 calibration of mathematical models
by: Overstall, Antony M., et al.
Published: (2021) -
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023) -
Gibbs optimal design of experiments
by: Overstall, Antony M., et al.
Published: (2023) -
Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
by: Mao, Yicheng, et al.
Published: (2024)