research
∙
06/17/2022
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Bayesian inference under a set of priors, called robust Bayesian analysi...
share
research
∙
04/28/2022
A robust Bayesian analysis of variable selection under prior ignorance
We propose a cautious Bayesian variable selection routine by investigati...
research
∙
04/22/2022
A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis
Meta-analysis is a statistical method used in evidence synthesis for com...
research
∙
03/23/2021
Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance
Γ-maximin, Γ-maximax and inteval dominance are familiar decision criteri...
research
∙
03/08/2021
Robust decision analysis under severe uncertainty and ambiguous tradeoffs: an invasive species case study
Bayesian decision analysis is a useful method for risk management decisi...
research
∙
06/28/2019
Improving and benchmarking of algorithms for decision making with lower previsions
Maximality, interval dominance, and E-admissibility are three well-known...
research
∙
08/09/2018
Improved linear programming methods for checking avoiding sure loss
We review the simplex method and two interior-point methods (the affine ...
research
∙
07/09/2018
Decision making under uncertainty using imprecise probabilities
Various ways for decision making with imprecise probabilities (admissibi...
research
∙
06/27/2018