mahaa2
I am an applied statistician with interest in Bayesian methods, Gaussian process models, machine learning, quantitative ecology and differential geometry.
University of HelsinkiHelsinki
Pinned Repositories
gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Optim.jl
Optimization functions for Julia
CUTEst.jl
Julia's CUTEst Interface
Distributions.jl
A Julia package for probability distributions and associated functions.
EmbeddedLMC
LP-approximation-and-NG-for-GPs-with-heteroscedastic-Student-t-model
Matlab implementation in the software GP-stuff of the paper Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model in Statistics and Computing Journal. To apper in the next version of GP-Stuff
r-codes
Codes for R programming
RadonKA.jl
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...
mahaa2's Repositories
mahaa2/EmbeddedLMC
mahaa2/LP-approximation-and-NG-for-GPs-with-heteroscedastic-Student-t-model
Matlab implementation in the software GP-stuff of the paper Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model in Statistics and Computing Journal. To apper in the next version of GP-Stuff
mahaa2/r-codes
Codes for R programming
mahaa2/Distributions.jl
A Julia package for probability distributions and associated functions.