WHIM: function approximation where it matters

DOI10.1080/03610918.2019.1634203OpenAlexW2953846402WikidataQ127552526 ScholiaQ127552526MaRDI QIDQ5086361

Michael Lavine

Publication date: 5 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1634203

zbMATH Keywords

likelihoodoptimizationstatistical inference

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• ElemStatLearn

Cites Work

• Approximately exact calculations for linear mixed models
• Balance in designed experiments with orthogonal block structure
• On the Generalization of the Likelihood Function and the Likelihood Principle
• Introducing Monte Carlo Methods with R

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