Empirical complexity guesser written in Java and Python
基于 MiniMax-M2.7 大模型的金融学院智能研究助手平台，集成 AI 对话、实证分析（DID/IV/RDD/PSM 因果推断）、量化策略分析、AI 研报生成、论文检索、宏观经济数据（CPI/PMI/GDP/M2/LPR）等 9 大功能模块。后端 FastAPI + 前端 React 18 + Ant Design 5 + ECharts，内置 Econ-Claw 提示词框架（反幻觉 + 因果推断规范），支持 AkShare 实时股票行情与 12+ 权威数据源。
This repository briefly describes the statistical analyses conducted on tourism corpora consisting of digital photographs shared by English-speaking, popular travel boards on Instagram and official websites. It includes the code used to perform each analysis.
Empirical validation of MST weight scaling across random graph models using Kruskal's algorithm.
UC Berkeley POLISCI 3 Fall 2019, Spring 2020
My course materials for teaching Analysis and Design of Algorithms
A complexity analyzer written in C++ and Python.
A Python tool to analyze and plot the performance (time, comparisons, swaps) of various sorting algorithms across different array sizes and types.
This repository holds the code used for the empirical analysis in the master thesis <add_title>
Empirical analysis in R examining associations between ACT scores, race/ethnicity, Pell Grant eligibility, and first-generation status using multiple regression and robust statistical inference.
UC Berkeley POLISCI 3 Summer 2023
A Python tool to implement, compare, and analyze the practical performance of DFS-based and Kahn's (source-removal) topological sort algorithms.
A Python tool to analyze and compare the time and space complexity of prime-finding algorithms, including the Sieve of Eratosthenes and the Sieve of Atkin.
UC Berkeley POLISCI3 Fall 2020
Dynamic organization-dependent g0 analysis in the SPARC radial acceleration relation (reproducible research package)
Empirical analysis of algorithms.
Python project for analyzing simplex method complexity on LPs in canonical form. Tracks FLOPs, generates problems, fits models, visualizes with Matplotlib, and caches results. Builds on work by Pavlov, Kyselov, et al. Uses Nelder-Mead optimization and MSE loss to fit empirical data to theoretical models like Borgwardt, Smoothed, and Polynomial.
A MATLAB project comparing the performance (time, iterations) of from-scratch implementations of direct and iterative methods (Gaussian Elimination, Gauss-Jordan Elimination, LU, Jacobi, Gauss-Seidel, SOR) for solving Ax=b.
Stata panel data analysis playbook with synthetic sample, do-file, result index, and delivery checks
Master Thesis
To associate your repository with the empirical-analysis topic, visit your repo's landing page and select "manage topics."