test the phenomenon of PEAD in China

We carried out thematic clustering and differential prediction of number of retweets with Gradient Boosting and Quantile regression. We also performed text embedding with Bidirectional Encoder Representations (BERT, Google) for deep prediction with TensorFlow

R/jags model code for hierarchical Bayesian quantile regression

Do files employed in my research

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.

censored quantile regression with three-step estimator

Quantile predictions for the Belgian day-ahead electricity market.

Notes and laboratories from a graduate course in Business Analytics.

This repository contains the quantitative analysis based on quantile regression models that examine the interaction between inflation and public debt

Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning.

Scripts to create diagnostic plots of Stata sqreg fits

Recreation of the findings presented in the paper titled "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning"

Adaptive Conditional Quantile Neural Processes - PyTorch

Here you can find the code which was used in my dissertation named "Quantile Regression Methods for Modelling Indoor PAH Levels from Lifestyle and Indoor Environment Information".

HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

This repository features an app that uses LightGBM machine learning to instantly evaluate real estate properties in Florianópolis, Brazil based on location, size, and other features, as well as proximity to risk areas, transportation, hospitals, markets, and green spaces. It also includes code and datasets for reproducing the analysis.

Project for the 2022/23 Advanced Econometrics II class at Faculty of Economic Sciences, University of Warsaw. In this project we build quantile regression model to analyze variability in valuation of houses' characteristics.