kkaloudis Goto Github PK

adapt-flow-ergo

approximate-bayesian-computation

Approximate Bayesian Computation with Optimal Transport (Part III essay)

bc-with-pi-priors

bifurcationkit.jl

A Julia package to perform Bifurcation Analysis

carbon-cycle-system

data-driven method and the most probable transition pathway

computational-finance-course

Here you will find materials for the course of Computational Finance

dnrr

Julia implementation of the Dynamic Noise Reduction Replicator (DNRR) model: Kaloudis K., Hatjispyros S.J. (2018) A Bayesian nonparametric approach to dynamical noise reduction. Chaos 28(6).

flow_mcmc

Official repository for the preprint "On Sampling with Approximate Transport Maps" in PyTorch.

gsbr-dpr

Julia implementation of Bayesian nonparametric reconstruction and prediction models for random dynamical systems. Paper: Merkatas C., Kaloudis K., Hatjispyros S.J. (2017) A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems. Chaos 27(6).

kkaloudis.github.io

nba-simulation

A Shiny app that simulates a basketball game between two different NBA team.

qexponential-maxent

Julia code for the Maximum Entropy parametric estimation of the q-Exponential distribution, using Shannon and Renyi entropies.

sm-gsbr

Julia implementation of the Stable Manifold-Geometric stick breaking reconstruction (SM-GSBR) model, described in the paper: Hatjispyros S.J., Kaloudis K. (2019) A Bayesian nonparametric approach to the approximation of the global stable manifold, Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 123123.

stan-rds

Bayesian inference on random dynamical systems using R STAN (ongoing project).

turingtutorials

Educational material and tutorials for the Turing language

winference

R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)