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Complex and High‐Dimensional Inference in Astrostatistics

Cisewski, Jessi Balakrishnan, N. ; Everitt, Brian ; Colton, Theodore ; Teugels, Jozef L. ; Piegorsch, Walter ; Ruggeri, Fabrizio

Wiley StatsRef: Statistics Reference Online, 2017, p.1-8

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Título:
Complex and High‐Dimensional Inference in Astrostatistics
Autor: Cisewski, Jessi
Balakrishnan, N. ; Everitt, Brian ; Colton, Theodore ; Teugels, Jozef L. ; Piegorsch, Walter ; Ruggeri, Fabrizio
Assuntos: Applications ; Statistics in Physical Sciences
É parte de: Wiley StatsRef: Statistics Reference Online, 2017, p.1-8
Descrição: Astrostatistics is a field that seeks to develop and employ statistical methodology for problems in astronomy, astrophysics, and cosmology. Owing to the complexities of our Universe and the increasing quantity and quality of data, astrostatistics inference problems are becoming increasingly complex and high‐dimensional, requiring advanced statistical methods. This article touches upon two areas of statistics that have had fruitful applications in astronomy: hierarchical Bayesian modeling and topological data analysis.
Editor: Chichester, UK: John Wiley & Sons, Ltd
Idioma: Inglês

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