Computationally and statistically efficient model fitting techniques

DOI10.1080/00949655.2016.1194838zbMath1492.62026OpenAlexW2412101722MaRDI QIDQ5106763

Scott L. Rosen, Samar K. Guharay, Christine Harvey, James B. Ramsey, Christopher P. Saunders

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1194838

zbMATH Keywords

metamodelmodel fittingcomputational statistics

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Probabilistic models, generic numerical methods in probability and statistics (65C20)

Uses Software

• Matlab
• R
• mpi4py
• SciPy
• Python
• bootstrap
• nls
• fitnlm

Cites Work

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• A methodology for fitting and validating metamodels in simulation
• Validation of regression metamodels in simulation: bootstrap approach
• The Relationship between Variable Selection and Data Agumentation and a Method for Prediction

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