Quantile Regression Forests compatible with scikit-learn.

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using th…

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

Kernel quantile regression

Do files employed in my research

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

Scripts to create diagnostic plots of Stata sqreg fits

This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.

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".

Bringing back uncertainty to machine learning.

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Partially-Interpretable Neural Networks for Extreme Value modelling

Measure market risk by CAViaR model

R package for estimating quantile regression coefficients via the quantile spacing method

Adaptive Conditional Quantile Neural Processes - PyTorch

Kaggle competition "Net-Load Forecasting During the "Sobriety" Period"

Conformal classifiers, regressors and predictive systems

R package for Bayesian meta-analysis models, using Stan