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Gauss-Christoffel quadrature for inverse regression: applications to computer experiments

Gauss-Christoffel quadrature for inverse regression: applications to computer experiments

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2076640305

Gauss-Christoffel quadrature for inverse regression: applications to computer experiments

About this item

Full title

Gauss-Christoffel quadrature for inverse regression: applications to computer experiments

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2017-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Sufficient dimension reduction (SDR) provides a framework for reducing the predictor space dimension in regression problems. We consider SDR in the context of deterministic functions of several variables such as those arising in computer experiments. In this context, SDR serves as a methodology for uncovering ridge structure in functions, and two p...

Alternative Titles

Full title

Gauss-Christoffel quadrature for inverse regression: applications to computer experiments

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2076640305

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2076640305

Other Identifiers

E-ISSN

2331-8422

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