Name: David Métivier
Type: User
Company: INRAE, MISTEA
Bio: I am a research scientist with a physics background. Now, I do statistics to tackle environmental, and climate change problems. Julia enthusiast!
Location: Montpellier, France
Blog: https://davidmetivier.mistea.inrae.fr/
David Métivier's Projects
Super long name to do binary data HMM (possibly non homogeneous) with extra dependence on past observation
A Distributions.jl branch to add fit_mle methods
A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.
Complex neural network examples for Flux.jl
Hidden Markov Models for Julia.
Host some my dev package
Extension of the package HMMBase.jl that deals with non-homogenous Hidden Markov Models
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Some randomization methods for Randomized Quasi Monte Carlo e.g. scrambling, shift
Code of the paper The Robust Randomized Quasi Monte Carlo method, applications to integrating singular functions by E. Gobet M. Lerasle and D. Métivier
Implement some Robust Mean Estimators
SHHMM
Statistical plotting recipes for Plots.jl
Smooth middle mouse button scrolling for VS Code or any other application