Modelling extreme values
-
Updated
Jun 10, 2026 - R
#
threshold-selection
Here are 7 public repositories matching this topic...
Threshold analysis
-
Updated
Sep 19, 2020 - Python
Threshold Selection and Uncertainty for Extreme Value Analysis
plot extremes threshold inference prediction uncertainty threshold-selection extreme-value-statistics extreme-value-analysis generalised-pareto extreme-value-threshold
-
Updated
Mar 24, 2026 - R
[IROS 2026] Official code for "Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition"
machine-learning localization deep-learning robotics reliability pytorch gnss autonomous-vehicles place-recognition intelligent-transportation-systems safety-critical visual-place-recognition threshold-selection geolocalization loop-closure-detection geo-localization gnss-denied simultaneous-localization-and-mapping physical-ai iros2026
-
Updated
Jun 17, 2026 - HTML
Predicting customer churn of a mobile operator using XGBoost in Amazon Sagemaker.
-
Updated
Aug 7, 2022 - Jupyter Notebook
A structured way of finding the best threshold with a given tradeoff between false positive and negative predictions in a binary setting
-
Updated
Sep 12, 2021 - TeX
This repository provides code that implements finite sample guarantees for quantile estimation with an application to detector threshold tuning.
-
Updated
Jul 21, 2022 - MATLAB
Add this topic to your repo
To associate your repository with the threshold-selection topic, visit your repo's landing page and select "manage topics."