Threshold Selection and Uncertainty for Extreme Value Analysis
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Updated
Jul 17, 2024 - R
Threshold Selection and Uncertainty for Extreme Value Analysis
Likelihood-Based Inference for Time Series Extremes
As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.
Latent Environmental Threshold Model
R package that simulates and estimates the hystar model
mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.
Estimation of the Extremal Index
A repository for supplementary considerations required to run certain stroke segmentation algorithms
Linear regression with a randomly censored covariate
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