lacerbi

optimviz

Visualize optimization algorithms in MATLAB.

bamb2022-model-fitting

Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.

workshop-nyu-2019

Introductory workshop to modeling and model fitting in cognitive and computational neuroscience

vbgmm

Variational Gaussian mixture model for MATLAB.

workshop-bristol-2019

Introductory workshop to modeling and model fitting in psychophysics and neuroscience

psybayes

Bayesian adaptive stimulus placement of psychometric function for MATLAB.

visvest-causinf

Bayesian comparison of causal inference strategies in multisensory heading perception

infbench

Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.

bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)

ChangeProb

Human Online Adaptation to Changes in Prior Probability

lautils-mat

Luigi Acerbi's utility functions for MATLAB.

neurobench

Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.

tics-2020-tutorial

Tutorial on computational modeling and statistical model fitting part of the *Trends in Computational Neuroscience* graduate course of the University of Geneva (2020).

eissample

Ensemble (inversion) slice sampling: a robust, self-tuning MCMC method for posterior inference.

marglike

Computation of the marginal likelihood from MCMC output

nyu2023-bayes

Tutorial on Bayesian model fitting with (Py)VBMC.

padova2022-bayes

Tutorial on Bayesian model fitting with PyVBMC.

vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)

bayescausinf-models

Models of visuo-vestibular Bayesian causal inference

compstats-files

Repository of utility files for the Computational Statistics course.

cosmo-2018-tutorial

Tutorial on optimization and model fitting held at the CoSMo 2018 summer school.

gplite

Lite Gaussian process regression toolbox

ibl-2020-tutorial

Tutorial on computational modeling and statistical model fitting part of the IBL Computational Neuroscience course (2020).

intro-modeling-psych-2018

Materials for an intro workshop to modeling and model fitting in psychophysics and neuroscience

ibs

Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)

lacerbi

Personal website of Luigi Acerbi, Ph.D.

lacerbi.github.io

prob-cog-mod-files

Repository of utility files for the Probabilistic Cognitive Modelling course.

pyvbmc

sublime_sphinx_guide

Sublime and Sphinx Guide