Pinned Repositories
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
IAA_School2019
The 1st IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning
carmensg's Repositories
carmensg/IAA_School2019
The 1st IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning
carmensg/Age-maps
Hierarchical Bayesian approach for estimating physical properties in nearby galaxies: Age Maps (Paper II)
carmensg/astrometry-inference-tutorials
Tutorials on the use of (Gaia) astrometry in astronomical data analysis or inference problems.
carmensg/Astrostats-2017-ESAC
Material for the Astrostats 2017 course at ESAC
carmensg/BDA_py_demos
Bayesian Data Analysis demos for Python
carmensg/brinla
Bayesian Regression with INLA
carmensg/celerite-asteroseis
Transit fitting and basic time-domain asteroseismology using celerite and ktransit
carmensg/cvxpy
A Python-embedded modeling language for convex optimization problems.
carmensg/dccp
A CVXPY extension for convex-concave programming
carmensg/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.
carmensg/FFDEA
carmensg/FoFreeAST
Fourier-free Asteroseismology
carmensg/FuzzyNumbers
Tools to Deal with Fuzzy Numbers in R
carmensg/Gaia-DR2-distances
Estimate distances to stars as done for the Gaia-DR2 distance catalogue
carmensg/Kalkayotl
This repository contains a code to infer distances to stellar clusters and its stars from Gaia parallaxes.
carmensg/learning-data-mining-with-r
Codes for the book [Learning Data Mining with R]
carmensg/Machine-Learning-with-R-1
Datasets & solutions for Machine Learning With R by Brett Lantz
carmensg/nnest
Neural network nested and MCMC sampling
carmensg/notebooks
Tutorial notebooks for Stingray
carmensg/parallax-tutorial-2018
Tutorials on the use of astronomical parallaxes
carmensg/PBI
Practical Bayesian Inference
carmensg/python_wrappers
carmensg/scikit-learn
scikit-learn: machine learning in Python
carmensg/sedcreator
carmensg/SEIDEA
Code and data to solve Interval DEA problems
carmensg/somachine2021
SOMACHINE 2021. Machine Learning, Big Data, and Deep Learning in Astronomy. A Severo Ochoa School of the Instituto de Astrofísica de Andalucía (CSIC)
carmensg/spdep
Spatial Dependence: Weighting Schemes, Statistics and Models
carmensg/SPSAS2019
Lectures on "Big Data Sets in Astronomy" by Zeljko Ivezic at Sao Paulo School of Advanced Science on Learning from Data, July 31 - Aug 2, 2019
carmensg/stingraypaper
The Stingray paper
carmensg/uw-astr598-w18
ASTR 598: Astro-statistics and Machine Learning