Extreme Value Analysis (EVA) in Python
R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes
Functions from the book "Reinsurance: Actuarial and Statistical Aspects"
Threshold Selection and Uncertainty for Extreme Value Analysis
R package. Main goals are to fit models to the clone size distribution of the TCR repertoire, and to perform model-based comparative analysis of samples.
Repository for performing climate extraction and climate extreme calculation for ethnographic site of the IBSS project
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Loglikelihood Adjustment for Extreme Value Models
Collection of Code for ML algorithms and other stuff in the RP Rainfall Extremes in CLEX
Likelihood-Based Inference for Time Series Extremes
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
Calculate the maximum value of a double-precision floating-point strided array according to a mask.
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
Calculate the maximum value of a double-precision floating-point strided array.
Calculate the cumulative maximum of a strided array.
Add a description, image, and links to the extremes topic page so that developers can more easily learn about it.
To associate your repository with the extremes topic, visit your repo's landing page and select "manage topics."