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44 public repositories
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Developed a machine learning model to identify fraudulent credit applications, with a Fraud Detection Rate of 56.12% at 3% of the population. The resulting model can be utilized in a credit card fraud detection system.
Updated
Apr 6, 2021
Jupyter Notebook
Code for "A direct approach to estimating false discovery rates conditional on covariates" by SM Boca and JT Leek
Python script that search and aggregates Siebel component crashes information into a nice report
Updated
Mar 24, 2024
Python
How to run WRF3.8 in Azure Infrastructure using VM Scale Sets
Updated
Feb 7, 2019
Shell
R code for Bayesian FDR control
A script and functions to group and validate MS Annika results.
Updated
Jan 24, 2024
Python
Benchmarking study of recent covariate-adjusted FDR methods
Updated
Apr 16, 2019
Jupyter Notebook
GitHub Action to validate FDR license.
Updated
May 5, 2023
Shell
Updated
May 11, 2022
JavaScript
Estimate (Local) False Discovery Rates with Weights, adapted from fdrtool
Updated
Mar 25, 2024
Jupyter Notebook
Adjust p-values for multiple comparisons
Updated
Aug 27, 2019
MATLAB
Here I illustrate how GGM selection methods work better in network hub and cluster detection when the false discover rate (FDR) control is ignored.
Applied Statistics I, 2021, UNC at Chapel Hill-linear regression
R-package and code for the paper 'Frequency Domain Statistical Inference for High-Dimensional Time Series'
Variable Selection with Knockoffs
Updated
Jun 1, 2024
Julia
An R package for adaptive shrinkage
False discovery rate regression
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