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bads

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

bamb2022-model-fitting

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

bayescausinf-models

Models of visuo-vestibular Bayesian causal inference

changeprob

Human Online Adaptation to Changes in Prior Probability

comprob

Compatibility probability of measurements across experiments

compstats-files

Repository of utility files for the Computational Statistics course.

cosmo-2017-tutorial

Tutorial on optimization and model fitting held at the CoSMo 2017 summer school.

cosmo-2018-tutorial

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

eissample

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

gmm1

1-D Gaussian mixture model toolbox for MATLAB.

gofit

Compute absolute goodness of fit via entropy estimation

gplite

Lite Gaussian process regression toolbox

gpml_extensions

Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.

ibl-2020-tutorial

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

ibs

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

infbench

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

intro-modeling-psych-2018

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

lacerbi

Personal website of Luigi Acerbi, Ph.D.

lacerbi.github.io

lautils-mat

Luigi Acerbi's utility functions for MATLAB.

marglike

Computation of the marginal likelihood from MCMC output

mexxer

Template/interface generator for C code from MATLAB functions.

modelwork

MATLAB suite for model building and model fitting.

multiess

Multivariate effective sample size (mESS) of Markov chain in MATLAB.

neurobench

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

nyu2023-bayes

Tutorial on Bayesian model fitting with (Py)VBMC.

optimviz

Visualize optimization algorithms in MATLAB.

padova2022-bayes

Tutorial on Bayesian model fitting with PyVBMC.

prob-cog-mod-files

Repository of utility files for the Probabilistic Cognitive Modelling course.

psybayes

Bayesian adaptive stimulus placement of psychometric function for MATLAB.