DIMENSIONALITY REDUCTION IN FIRST ORDER RESPONSE SURFACE DESIGN MODEL USING BAYESIAN APPROACH

DOI10.17654/TS054040327zbMath1433.62087WikidataQ129306771 ScholiaQ129306771MaRDI QIDQ5204671

Ameen Saheb Sk, N. Bhatra Charyulu Ch., T. Deepthi

Publication date: 5 December 2019

Published in: Far East Journal of Theoretical Statistics (Search for Journal in Brave)

zbMATH Keywords

variable selectiondimensionality reductionBayesian approachresponse surface designfirst order model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Response surface designs (62K20)

Cites Work

• Bayesian Variable Selection in Linear Regression
• Note on reduction of dimensionality for second-order response surface design model
• A review of Bayesian variable selection methods: what, how and which
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