Comprehensive tutorial notes for ETC2410 Introductory Econometrics

Sketching of Data via Random Subspace Embeddings

Code to reproduce paper Adrian, Duarte and Iyer (2023), “The Market Price of Risk and Macro-Financial Dynamics”

Detailed implementation of various regression analysis models and concepts on real dataset.

R Code for Bayesian Inference for Structural Vector Autoregressions Identified with Markov-Switching Heteroskedasticity

GWAS of trait variance (C++)

R package to perform regression-based Brown-Forsythe test

Impact of macroecomonic variables on S&P 500

An R package for time series modelling with mixture autoregressive and related models.

Repo where different methods for price regression are used (supervised machine learning)

The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would mod…

Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).

Presentación de la Comunicación Oral del LII Coloquio Argentino de Estadística de la Sociedad Argentina de Estadística

OLS regression with possibility of controlling for fixed effects and robust standard errors

Script used for my undergraduate thesis

Testing different models for the linear regression model with one estimator and heteroskedacity in data

Here I have checked and removed for heteroskedasticity .

Diagnostic tools for regression modeling.

Linear Multilinear and Logistic Regression in Machine Learning

Econometrics_regression analysis using R language