StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Objectives There is substantial disagreement about whether gluten-free foods should be prescribed on the National Health Service. We aim to describe time trends, variation and factors associated with ...

Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

This repository contains the experiments conducted in our paper "Learning from Integral Losses in Physics Informed Neural Networks". In short, this paper pinpoints the biased nature of the MSE loss ...

清华大学出版社近期拟引进 Taylor & Francis Group今年出版的一本 利用Python实现统计和数据可视化类英文著作，该著作旨在为有兴趣在数据科学与分析以及一般统计分析领域的学生和从业人员提供统计学方面的桥梁。 我社计划翻译成中文出版，以应广大读者的需求 ...