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"
Modeling Nonstationary Extreme Value Distributions
Threshold Selection and Uncertainty for Extreme Value Analysis
Ratio-of-Uniforms Sampling for Bayesian 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
Loglikelihood Adjustment for Extreme Value Models
Likelihood-Based Inference for Time Series Extremes
Collection of Code for ML algorithms and other stuff in the RP Rainfall Extremes in CLEX
Generalised Additive Extreme Value Models for Location, Scale and Shape
Marine Extremes detection, identification, and tracking/merging for Exascale Climate data
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the maximum value of a strided array, ignoring NaN values.
Calculate the cumulative maximum of a strided array.
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