❎ Online Multiple Hypothesis Testing
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Updated
Aug 23, 2024 - Python
❎ Online Multiple Hypothesis Testing
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Analysis platform for large-scale dose-dependent data
Python package to perform statistical hypothesis tests.
Python code for calculating Z-value from the p-value
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
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This project involves comparing the effectiveness of two bidding methods, "maximum bidding" and "average bidding," through an A/B test. The goal is to determine whether the "average bidding" method yields more conversions compared to the existing "maximum bidding" method.
Estimation of the Shapiro-Wilk test using the Monte Carlo method.
Correspondence Analysis with python
collection of utility functions for correlation analysis
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Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Multiple hypothesis testing in Python
MyWork
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
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