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
Likelihood-Based Inference for Time Series Extremes
Collection of Code for ML algorithms and other stuff in the RP Rainfall Extremes in CLEX
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 cumulative maximum of a strided array.
Calculate the maximum value of a double-precision floating-point strided array.
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