A modeler's guide to extreme value software

05/16/2022
by   Léo R. Belzile, et al.
0

This review paper surveys recent development in software implementations for extreme value analyses since the publication of Stephenson and Gilleland (2006) and Gilleland et al. (2013), here with a focus on numerical challenges. We provide a comparative review by topic and highlight differences in existing routines, along with listing areas where software development is lacking. The online supplement contains two vignettes providing a comparison of implementations of frequentist and Bayesian estimation of univariate extreme value models.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/25/2017

Agile Software Development Methods: Review and Analysis

Agile - denoting "the quality of being agile, readiness for motion, nimb...
research
07/21/2021

The Factors of Code Reviewing Process to Ensure Software Quality

In the era of revolution, the development of softwares are increasing da...
research
04/27/2020

Requirements engineering in global scaled agile software development environment: a multi-vocal literature review protocol

Context: Requirements engineering in global scaled agile software develo...
research
02/27/2017

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

Extreme-scale computational science increasingly demands multiscale and ...
research
06/06/2023

A Review Of Progress for Component Based Software Cost Estimation From 1965 to 2023

Component Based Software Engineering (CBSE) is used to develop software ...
research
02/17/2021

Deep Extreme Value Copulas for Estimation and Sampling

We propose a new method for modeling the distribution function of high d...

Please sign up or login with your details

Forgot password? Click here to reset