lacerbi/vbgmm

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Rank 1,694,829 (Top 34 %)
Language
MATLAB
License
GNU General Publi...
Created over 8 years ago
Updated over 3 years ago

lacerbi/vbgmm

lacerbi

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Variational Gaussian mixture model for MATLAB.

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

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.

eissample

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

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).

Jupyter Notebook

mexxer

Template/interface generator for C code from MATLAB functions.

gmm1

1-D Gaussian mixture model toolbox for MATLAB.

multiESS

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

padova2022-bayes

Tutorial on Bayesian model fitting with PyVBMC.

Jupyter Notebook

marglike

Computation of the marginal likelihood from MCMC output

gofit

Compute absolute goodness of fit via entropy estimation

nyu2023-bayes

Tutorial on Bayesian model fitting with (Py)VBMC.

Jupyter Notebook

ModelWork

MATLAB suite for model building and model fitting.

vbmc

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

ibl-2020-tutorial

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

Jupyter Notebook

gplite

Lite Gaussian process regression toolbox

cosmo-2017-tutorial

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

intro-modeling-psych-2018

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

bayescausinf-models

Models of visuo-vestibular Bayesian causal inference

cosmo-2018-tutorial

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

compstats-files

Repository of utility files for the Computational Statistics course.