statistical-computing

Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validation. | 面向实证研究的智能体 Stata 桥接器——在 Claude Code、Jupyter、VS Code 中用一套省 token 的结果格式跑 DiD/IV/RDD 与出版级表格，并支持 StatsPAI 跨栈交叉验证。

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

Reproducibility Code for ``On Computing and the Complexity of Computing Higher-Order U-Statistics, Exactly''

Practical implementation of selected algorithms, concepts and techniques from data science, data analysis, data characterization and data visualization topics.

Bayesian Linear Regression using Random-Walk Metropolis Sampling Convergence diagnostics, posterior inference, and predictive analysis

Collection of Sijia Liu's Course Projects at Carnegie Mellon University

This repository provides bridges for calling FSDA routines from Python, R, and Julia. It contains language-specific interfaces and examples designed to make FSDA functionality accessible from external programming environments while relying on the original MATLAB implementation.