stan-dev/math
Oct 2024 – Nov 2024
2 Months active
Languages Used
C++
Technical Skills
C++C++ DevelopmentLibrary DevelopmentNumerical AnalysisProbability DistributionsSoftware Maintenance
Zhi Ling
PROFILE
Zhi Ling
Over two months, this developer expanded statistical modeling capabilities in the stan-dev/math and stan-dev/docs repositories by implementing comprehensive Beta-Negative Binomial distribution support. They developed and tested C++ functions for CDF, LCDF, and RNG, focusing on numerical stability, parameter validation, and robust edge-case handling. Their work included restoring and optimizing test coverage, improving CI feedback speed, and updating documentation to guide users in applying these functions within Stan models. By integrating numerical analysis and software testing best practices, the developer enhanced reliability and usability for Bayesian inference workflows, demonstrating depth in C++ development and statistical library maintenance.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
5
Lines of code
927
Activity Months2
Your Network
25 people
Work History
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary focused on delivering robust beta-negative binomial support across math and documentation, with emphasis on numerical stability, testing, and user guidance. Core outcomes include delivering beta_neg_binomial_cdf with enhanced CCDF/gradient stability and tests, implementing beta_neg_binomial_rng with parameter validation and robust edge-case handling, and adding user-facing documentation for CDF, LCDF, and RNG signatures to streamline usage in Stan models. These efforts reduce modeling risk, improve inference reliability for overdispersed count data, and enhance developer and user experience through better tests and documentation.
6 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary focused on delivering robust beta-negative binomial support across math and documentation, with emphasis on numerical stability, testing, and user guidance. Core outcomes include delivering beta_neg_binomial_cdf with enhanced CCDF/gradient stability and tests, implementing beta_neg_binomial_rng with parameter validation and robust edge-case handling, and adding user-facing documentation for CDF, LCDF, and RNG signatures to streamline usage in Stan models. These efforts reduce modeling risk, improve inference reliability for overdispersed count data, and enhance developer and user experience through better tests and documentation.
November 2024
October 2024
7 Commits • 2 Features
Oct 1, 2024Month 2024-10 focused on delivering core statistical functionality in Stan math, improving test coverage and reliability, and updating documentation across stan-dev/math and stan-dev/docs. Key emphasis on Beta-Negative Binomial support and ensuring robust CDF/LCCDF behavior, with performance-minded test maintenance.
October 2024
7 Commits • 2 Features
Oct 1, 2024Month 2024-10 focused on delivering core statistical functionality in Stan math, improving test coverage and reliability, and updating documentation across stan-dev/math and stan-dev/docs. Key emphasis on Beta-Negative Binomial support and ensuring robust CDF/LCCDF behavior, with performance-minded test maintenance.
Activity
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Quality Metrics
Correctness94.6%
Maintainability95.4%
Architecture90.8%
Performance86.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Quarto
Technical Skills
C++C++ DevelopmentDocumentationLibrary DevelopmentNumerical AnalysisProbability DistributionsRandom Number GenerationSoftware MaintenanceSoftware TestingStatistical ModelingTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
stan-dev/docs
Oct 2024 – Nov 2024
2 Months active
Languages Used
Quarto
Technical Skills
DocumentationStatistical Modeling