umbertopicchini
Associate Professor in Statistics at Chalmers and University of Gothenburg, Sweden.
Dept. Mathematical Sciences, University of Gothenburg/Chalmers University of TechnologyGothenburg, Sweden
Pinned Repositories
abc_g-and-k
A MATLAB code implementing an example of inference via approximate Bayesian computation (ABC) for the g-and-k distributions
ASL
Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods
beamer2pptx
python script to convert beamer (latex) presentations to PowerPoint presentations
example-models
Example models for Stan
julia
The Julia Language: a fresh approach to technical computing.
pomp-ricker
examples of how to fit a stochastic Ricker model using the R pomp package
SAEM-ABC
example code for the paper by Picchini & Samson 2017, "Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models", arXiv:1512.04831.
SAEM-SL
A MATLAB implementation of the likelihood-free synthetic likelihood SAEM algorithm by U. Picchini in arXiv:1609.03508
sdemem-tumor
SDE and ODE mixed-effects models for tumor growth in mice, see arXiv:1607.02633
stratABC
ABC using stratified Monte Carlo and bootstrapping: supporting code for arXiv:1905.07976
umbertopicchini's Repositories
umbertopicchini/SAEM-ABC
example code for the paper by Picchini & Samson 2017, "Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models", arXiv:1512.04831.
umbertopicchini/stratABC
ABC using stratified Monte Carlo and bootstrapping: supporting code for arXiv:1905.07976
umbertopicchini/abc_g-and-k
A MATLAB code implementing an example of inference via approximate Bayesian computation (ABC) for the g-and-k distributions
umbertopicchini/pomp-ricker
examples of how to fit a stochastic Ricker model using the R pomp package
umbertopicchini/SAEM-SL
A MATLAB implementation of the likelihood-free synthetic likelihood SAEM algorithm by U. Picchini in arXiv:1609.03508
umbertopicchini/sdemem-tumor
SDE and ODE mixed-effects models for tumor growth in mice, see arXiv:1607.02633
umbertopicchini/ASL
Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods
umbertopicchini/julia
The Julia Language: a fresh approach to technical computing.
umbertopicchini/beamer2pptx
python script to convert beamer (latex) presentations to PowerPoint presentations
umbertopicchini/example-models
Example models for Stan
umbertopicchini/forking-workflow-exercise
umbertopicchini/guidedABC
Supporting code for Picchini & Tamborrino (2024) "Guided sequential ABC schemes for intractable Bayesian models" arxiv:2206.12235
umbertopicchini/pages-example
umbertopicchini/recipe
Guacamole recipe
umbertopicchini/staeiou.github.io
Github pages
umbertopicchini/stbl
MATLAB library for working with alpha stable distributions
umbertopicchini/test
umbertopicchini/umbertopicchini.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
umbertopicchini/word-count
Example project we use in the reproducibility lesson.