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ada8

Tutorial of Bayesian Models

age-maps

Hierarchical Bayesian approach for estimating physical properties in nearby galaxies: Age Maps (Paper II)

astrometry-inference-tutorials

Tutorials on the use of (Gaia) astrometry in astronomical data analysis or inference problems.

astrostats-2017-esac

Material for the Astrostats 2017 course at ESAC

bayespsd

Bayesian power spectral analysis tools

bayess

:exclamation: This is a read-only mirror of the CRAN R package repository. bayess — Bayesian Essentials with R

bda_py_demos

Bayesian Data Analysis demos for Python

bda_r_demos

Bayesian Data Analysis demos for R

brinla

Bayesian Regression with INLA

celerite-asteroseis

Transit fitting and basic time-domain asteroseismology using celerite and ktransit

cvxpy

A Python-embedded modeling language for convex optimization problems.

dccp

A CVXPY extension for convex-concave programming

fabada

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

ffdea

fofreeast

Fourier-free Asteroseismology

fuzzynumbers

Tools to Deal with Fuzzy Numbers in R

gaia-dr2-distances

Estimate distances to stars as done for the Gaia-DR2 distance catalogue

iaa_school2019

The 1st IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning

kalkayotl

This repository contains a code to infer distances to stellar clusters and its stars from Gaia parallaxes.

learnbayes

Functions to Learn Bayesian Inference

learning-data-mining-with-r

Codes for the book [Learning Data Mining with R]

machine-learning-with-r

Data sets and R code for the examples from the book "Machine Learning with R" by Brett Lantz

machine-learning-with-r-1

Datasets & solutions for Machine Learning With R by Brett Lantz

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

mcmc_demo

Code demonstrating Dan Foreman-Mackey's emcee code for MCMC fitting, and comparison with generalized linear fitting.

nnest

Neural network nested and MCMC sampling

notebooks

Tutorial notebooks for Stingray

parallax-tutorial-2018

Tutorials on the use of astronomical parallaxes

pbi

Practical Bayesian Inference

python_wrappers