Ensemble MCMC sampling for robust bayesian inference
Year of publication: |
2022
|
---|---|
Authors: | Böhl, Gregor |
Published in: |
CeNDEF working paper. - Amsterdam : CeNDEF, ZDB-ID 3050880-0. - 2022, 2, p. 1-39
|
Subject: | Bayesian Estimation | Monte Carlo Methods | Heterogeneous Agents | GlobalOptimization | Swiss Army Knife | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Theorie | Theory | Schweiz | Switzerland | Markov-Kette | Markov chain | Stichprobenerhebung | Sampling |
-
Ensemble MCMC sampling for robust Bayesian inference
Böhl, Gregor, (2022)
-
Evolutionary sequential Monte Carlo samplers for change-point models
Dufays, Arnaud, (2016)
-
Ardia, David, (2009)
- More ...
-
Can taxation predict US top-wealth share dynamics?
Böhl, Gregor, (2017)
-
Efficient solution and computation of models with occasionally binding constraints
Böhl, Gregor, (2021)
-
US business cycle dynamics at the zero lower bound
Böhl, Gregor, (2020)
- More ...