STATS305C: Applied Statistics III (Spring, 2023)

STATS320: Statistical Methods for Neural Data Analysis

NMA Computational Neuroscience course

State Space Models library in JAX

Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc

Statistical Rethinking Course for Jan-Mar 2023

Statistical Rethinking course winter 2022

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Port of Statistical Rethinking (2nd edition) code to Julia

StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)

Kaggle courses and tutorials to get you started in the Data Science world.

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

Parametric estimation of multivariate Hawkes processes with general kernels.

Network Hawkes processes in Julia.