Nested sampling in torch

Bayesian inference of neural tuning curves using nested sampling (PyMultiNest), with theory, simulation, and diagnostic visualizations.

Compute partition functions.

Modelization of light curves from spotted stars

Implementation of nested sampling method

Nested Sampling for Javascript applications

Final Projects are required for both Graduate Students and PHY 451Y students. Students can choose to work individually or in groups of two to propose, perform, and present a final project for the course. This project will be a project that uses methods taught in this course to solve a data analysis or signal processing problem.

Developing and comparing statistical methods for steady state data reconciliation

repository per codici per il corso di introduzione alla teoria bayesiana della probabilità

NUTS + Nested Sampling Model for Cumulative Concentration Time Series

A Python package for studying secular evolution of exoplanet orbits using observational data.

Magnetic geometry retrieval framework presented in Kavanagh et al. (2024).

Interface and plugin for using nessai in bilby

FireFly - A Bayesian approach to source finding in Astronomical data.

Using deep learning and genetic algorithms to speed-up Bayesian inference.

Bayesian inference of stochastic cellular processes with and without memory in Python.

Cosmological Parameter estimation using Bayesian Machine Learning