Extreme Value Analysis (EVA) in Python
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Updated
Jul 30, 2024 - Python
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
Repository for performing climate extraction and climate extreme calculation for ethnographic site of the IBSS project
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.
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Likelihood-Based Inference for Time Series Extremes
Collection of Code for ML algorithms and other stuff in the RP Rainfall Extremes in CLEX
Loglikelihood Adjustment for Extreme Value Models
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
Calculate the maximum 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 cumulative maximum of double-precision floating-point strided array elements.
Calculate the maximum value of a strided array.
Calculate the range of a strided array according to a mask, ignoring NaN values.
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