Name: Dawie van Lill
Type: User
Company: Stellenbosch University
Bio: Economics lecturer at Stellenbosch University in South Africa. I am interested in computational macroeconomics, Bayesian methods and deep learning.
Location: Stellenbosch, South Africa
Blog: https://dawievanlill.netlify.app/
Dawie van Lill's Projects
18.337 - Parallel Computing and Scientific Machine Learning
Short Python code snippets for all your development needs
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
Advanced R: a book
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Course material for the PhD course in Advanced Bayesian Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
Bayesian Data Analysis course at Aalto
Bayesian Macroeconometrics in R
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Analysis of the Primiceri (REStud, 2005) model
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
A Comparison of Programming Languages in Economics
Notes for computational python course
Julia versions of the CompEcon routines by Miranda and Fackler.
Computational Economics Course 2020 by Kenneth Judd
Julia replications of Foundations of Computational Economics
Notes and Julia code for computational economics reading group
COMS W4995 Applied Machine Learning - Spring 20
Machine Learning for Economists, Spring 2019
course website
Public material for Cornell CS 4220, Spring 2020
This is an html version of my Cv
Course material for Data Science Methods for Economics
Welcome to DataFrames.jl with Bogumił Kamiński
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Data science module for economists written mostly in Julia and R
This is a test repo for the data science module