szlatanos

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

bvar

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.

BVAR_

Empirical macro toolbox

ECOM025_2020

Financial Econometrics module (MSc level)

ECOM151_2020

Big Data Applications in Finance module (MSc level)

fbi

Factor-Based Imputation for Missing Data

LaTeX-templates

macro-finance-forecasting-toolbox

Code library for financial and macroeconomic forecasting in MATLAB, Python, and R.

RISE_toolbox

Solution and estimation of Markov Switching Rational Expectations / DSGE Models

rmetrics

Read-only mirror of "rmetrics" from r-forge SVN.

szlatanos/annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

szlatanos/bvar

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.

szlatanos/BVAR_

Empirical macro toolbox

szlatanos/ECOM025_2020

Financial Econometrics module (MSc level)

szlatanos/ECOM151_2020

Big Data Applications in Finance module (MSc level)

szlatanos/fbi

Factor-Based Imputation for Missing Data

szlatanos/LaTeX-templates

szlatanos/macro-finance-forecasting-toolbox

Code library for financial and macroeconomic forecasting in MATLAB, Python, and R.

szlatanos/RISE_toolbox

Solution and estimation of Markov Switching Rational Expectations / DSGE Models

szlatanos/rmetrics

Read-only mirror of "rmetrics" from r-forge SVN.

szlatanos/szlatanos.github.io

This is the repo for my personal website

szlatanos/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks