Inference for the physical sciences | Zendy

Nick S. Jones | Zendy; Thomas J. Maccarone | Zendy

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Inference for the physical sciences

Author(s) -

Nick S. Jones,

Thomas J. Maccarone

Publication year - 2013

Publication title -

philosophical transactions of the royal society a mathematical physical and engineering sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.074

H-Index - 169

eISSN - 1471-2962

pISSN - 1364-503X

DOI - 10.1098/rsta.2012.0493

Subject(s) - extant taxon , data science , relevance (law) , physical science , inference , point (geometry) , computer science , table (database) , statistical inference , psychology , mathematics education , political science , data mining , artificial intelligence , mathematics , statistics , geometry , evolutionary biology , law , biology

There is a disconnect between developments in modern data analysis and some parts of the physical sciences in which they could find ready use. This introduction, and this issue, provides resources to help experimental researchers access modern data analysis tools and exposure for analysts to extant challenges in physical science. We include a table of resources connecting statistical and physical disciplines and point to appropriate books, journals, videos and articles. We conclude by highlighting the relevance of each of the articles in the associated issue.

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