Bayesian Data Analysis demos for Matlab/Octave
☆65Jan 6, 2020Updated 6 years ago
Alternatives and similar repositories for BDA_m_demos
Users that are interested in BDA_m_demos are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Data Analysis demos for Python☆1,040Sep 19, 2025Updated 6 months ago
- Matlab interface to Stan, a package for Bayesian inference☆86Mar 28, 2023Updated 3 years ago
- A series of tutorials for multilevel modeling in R!☆16May 9, 2019Updated 6 years ago
- Bayesian Data Analysis demos for R☆592Sep 12, 2025Updated 7 months ago
- Solutions to Bruce Hansen's textbook "Econometrics".☆16May 6, 2015Updated 10 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Ecological mixed-effects ordination with lme4☆12May 9, 2016Updated 9 years ago
- Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo☆10Jun 11, 2019Updated 6 years ago
- Codes used to estimate a Dynamic Stochastic General Equilibrium (DSGE) model using Bayesian Estimation techniques.☆12Jun 24, 2020Updated 5 years ago
- Dynare Summer School 2018 material☆15Jun 22, 2018Updated 7 years ago
- Stan website built using Quarto, theming in repo quarto-config☆23Mar 20, 2026Updated 3 weeks ago
- Bayesian nonparametric spectral estimation☆16Apr 23, 2022Updated 3 years ago
- Multi-task Gaussian Process☆45Jan 20, 2015Updated 11 years ago
- Gradient-based Adaptive Markov chain Monte Carlo☆31Oct 26, 2019Updated 6 years ago
- PART: a fast algorithm for aggregating MCMC sub-chain samples☆10Sep 30, 2015Updated 10 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.☆30May 23, 2023Updated 2 years ago
- R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"☆13Dec 4, 2022Updated 3 years ago
- Tutorials on Stan for Bayesian causal inference☆19Jun 14, 2025Updated 10 months ago
- A handbook on the use of R for decision modeling☆16Aug 9, 2019Updated 6 years ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆11Jan 9, 2019Updated 7 years ago
- An Internal Validity Index Based on Density-Involved Distance (2019).☆17Jan 14, 2025Updated last year
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- A MATLAB toolbox for efficient 3D vector and rotation operations and excellent code generation support☆12Sep 22, 2022Updated 3 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆10Mar 17, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Tools for building new GAM models in mgcv☆17Jun 11, 2025Updated 10 months ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84May 18, 2016Updated 9 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆72Nov 4, 2012Updated 13 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Repository for UMD CS Course: Introduction to Data Science I: Preparing, Storing, and Manipulating Data☆17Dec 13, 2014Updated 11 years ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Jan 28, 2017Updated 9 years ago
- ☆11Jun 9, 2021Updated 4 years ago
- ☆15Aug 27, 2018Updated 7 years ago
- Code Repository for Time Varying Multivariate Autoregressive (TV-MVAR) modeling☆13Mar 12, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Tools for automatically generating local sensitivity measures in Stan.☆38Dec 2, 2020Updated 5 years ago
- A Web-Based Visualization Tool for Biclustering of Multivariate Time Series☆10Feb 17, 2023Updated 3 years ago
- Matlab code to generate stationary Gaussian random field☆30Apr 3, 2019Updated 7 years ago
- A constellation of packages for document creation in R☆14Oct 9, 2019Updated 6 years ago
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆44Jul 12, 2017Updated 8 years ago
- A Quick-look processor for ISAR imaging of sea vessels☆12Jun 17, 2025Updated 9 months ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Dec 30, 2022Updated 3 years ago