Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox
This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from different models or other sources of information. T...
Main Authors: | Roberto Casarin, Stefano Grassi, Francesco Ravazzolo, Herman K. van Dijk |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2015-11-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/1135 |
Similar Items
-
Anytime Monte Carlo
by: Lawrence M. Murray, et al.
Published: (2021-01-01) -
Modeling and Analysis of Cardiac Hybrid Cellular Automata via GPU-Accelerated Monte Carlo Simulation
by: Lilly Maria Treml, et al.
Published: (2021-01-01) -
Characterization of tumor heterogeneity by latent haplotypes: a sequential Monte Carlo approach
by: Oyetunji E. Ogundijo, et al.
Published: (2018-05-01) -
Fast GPU-based Monte Carlo code for SPECT/CT reconstructions generates improved 177Lu images
by: T. Rydén, et al.
Published: (2018-01-01) -
Bayesian optimization with informative parametric models via sequential Monte Carlo
by: Rafael Oliveira, et al.
Published: (2022-01-01)