In this repo I would like to learn more about (deep) Bayesian quantile regression. In order to do this. The learning is mainly done in the notebooks. Where possible, the knowledge gathered will be put ...

Quantile Regression without inverse-normal-transformation. python eQTL_mapping.py data/expr_TPM.csv data/covariates.csv data/variant_genotype.csv output/test_output.txt --model QuantReg OLS with ...

According to a Bitcoin researcher, a quantile regression model indicates that there is a 99% percentile target for BTC at $275,000 by the end of November 2025.

We used quantile regression for panel data to estimate the rate of tax pass-through in the market for tobacco in small retailers and convenience stores in the UK between 2017 and 2021. In small ...

The volatility and uncertainty of electricity prices due to renewable energy sources create challenges for electricity trading, necessitating reliable probabilistic electricity-price forecasting (EPF) ...

Quantile Regression (QR) was applied to realize interval prediction of air conditioning load. The model was trained and tested adopted measured data from an office and a machine room in both summer ...