A tool-box for prior elicitation.
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Updated
Jun 27, 2024 - Python
A tool-box for prior elicitation.
2024 US presidential election model and simulation (daily data updates until election)
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Implementing Bayesian neural networks to close the amortization gap in VAEs in pytorch.
Gaussian processes in TensorFlow
A repository for the various functions and programs I've made in the area's of: Data Science, Analytics, Machine Learning & Statistics.
This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.
This repository contains codes and pipelines for analyzing neural data from the Katz lab at Brandeis University towards Hannah Germaine's thesis.
Python package to calculate the weighted average with Bayesian methods
An image fitting and parameter estimation algorithm that implements MCMC (Emcee)
Python package for Bayesian Model Mixing
Fitness estimates of SARS-CoV-2 variants
Deconvolution of the growth law equation. Code and replication data for https://doi.org/10.5194/gi-11-293-2022
Statistical package in Python based on Pandas
4 Plotly Dash apps that animate Bayesian updates of 3-dimensional Dirichlet distributions with multinomial data
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
Bayesian A/B testing
Python package for statistical learning with a Bayesian focus
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Recursos sobre manejo de la incertidumbre y probabilidad por un agente inteligente, módulo de Modelos de Inteligencia Artificial
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