Statistical methods for the analysis of excess lifetimes
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Updated
Jun 30, 2024 - R
Statistical methods for the analysis of excess lifetimes
Generalised Additive Extreme Value Models for Location, Scale and Shape
Estimation of the Extremal Index
Fitting spatial conditional models for extreme precipitation
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Loglikelihood Adjustment for Extreme Value Models
Generalized fiducial inference for extremes.
Some movies to teach statistical concepts
Threshold Selection and Uncertainty for Extreme Value Analysis
Functions from the book "Reinsurance: Actuarial and Statistical Aspects"
R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes
Fast and flexible models for extremal events.
Likelihood-Based Inference for Time Series Extremes
Statistical modelling of daily extremes
Code accompanying the paper "Human mortality at extreme age"
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
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