Multivariate density estimation: theory, practice, and visualization

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David W. Scott, PhD, is Noah Harding Professor in the Department of Statistics at Rice University. The author of over 100 published articles, papers, and book chapters, Dr. Scott is also Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. He is recipien...

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Autor principal: Scott, David W
Lenguaje:eng
Publicado: Wiley 2015
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1002/9781118575574
http://cds.cern.ch/record/2009863
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author Scott, David W
author_facet Scott, David W
author_sort Scott, David W
collection CERN
description David W. Scott, PhD, is Noah Harding Professor in the Department of Statistics at Rice University. The author of over 100 published articles, papers, and book chapters, Dr. Scott is also Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. He is recipient of the ASA Founder's Award and the Army Wilks Award. His research interests include computational statistics, data visualization, and density estimation. Dr. Scott is also Coeditor of Wiley Interdisciplinary Reviews: Computational Statistics and previous Editor of the Journal of Computational and
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20098632021-04-21T20:21:27Zdoi:10.1002/9781118575574http://cds.cern.ch/record/2009863engScott, David WMultivariate density estimation: theory, practice, and visualizationMathematical Physics and MathematicsDavid W. Scott, PhD, is Noah Harding Professor in the Department of Statistics at Rice University. The author of over 100 published articles, papers, and book chapters, Dr. Scott is also Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. He is recipient of the ASA Founder's Award and the Army Wilks Award. His research interests include computational statistics, data visualization, and density estimation. Dr. Scott is also Coeditor of Wiley Interdisciplinary Reviews: Computational Statistics and previous Editor of the Journal of Computational andWileyoai:cds.cern.ch:20098632015
spellingShingle Mathematical Physics and Mathematics
Scott, David W
Multivariate density estimation: theory, practice, and visualization
title Multivariate density estimation: theory, practice, and visualization
title_full Multivariate density estimation: theory, practice, and visualization
title_fullStr Multivariate density estimation: theory, practice, and visualization
title_full_unstemmed Multivariate density estimation: theory, practice, and visualization
title_short Multivariate density estimation: theory, practice, and visualization
title_sort multivariate density estimation: theory, practice, and visualization
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1002/9781118575574
http://cds.cern.ch/record/2009863
work_keys_str_mv AT scottdavidw multivariatedensityestimationtheorypracticeandvisualization

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