{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T06:17:47Z","timestamp":1648707467428},"reference-count":9,"publisher":"Cambridge University Press (CUP)","issue":"S325","license":[{"start":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T00:00:00Z","timestamp":1496102400000},"content-version":"unspecified","delay-in-days":241,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. IAU"],"published-print":{"date-parts":[[2016,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The history and current status of the cross-disciplinary fields of astrostatistics and astroinformatics are reviewed. Astronomers need a wide range of statistical methods for both data reduction and science analysis. With the proliferation of high-throughput telescopes, efficient large scale computational methods are also becoming essential. However, astronomers receive only weak training in these fields during their formal education. Interest in the fields is rapidly growing with conferences organized by scholarly societies, textbooks and tutorial workshops, and research studies pushing the frontiers of methodology. R, the premier language of statistical computing, can provide an important software environment for the incorporation of advanced statistical and computational methodology into the astronomical community.<\/jats:p>","DOI":"10.1017\/s1743921317003453","type":"journal-article","created":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T11:04:51Z","timestamp":1496142291000},"page":"3-9","source":"Crossref","is-referenced-by-count":0,"title":["The changing landscape of astrostatistics and astroinformatics"],"prefix":"10.1017","volume":"12","author":[{"given":"Eric D.","family":"Feigelson","sequence":"first","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2017,5,30]]},"reference":[{"key":"S1743921317003453_ref002","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177728726"},{"key":"S1743921317003453_ref007","unstructured":"Momcheva I. & Tollerud E. 2015, Software Use in Astronomy: an Informal Survey, https:\/\/www.authorea.com\/users\/10533\/articles\/18046"},{"key":"S1743921317003453_ref005","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511791277"},{"key":"S1743921317003453_ref004","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1922.0009"},{"key":"S1743921317003453_ref008","volume-title":"Goodness-of-Fit Techniques","author":"Stephens","year":"1986"},{"key":"S1743921317003453_ref003","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139015653"},{"key":"S1743921317003453_ref006","doi-asserted-by":"crossref","DOI":"10.23943\/princeton\/9780691151687.001.0001","volume-title":"Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data","author":"Ivezi\u0107","year":"2014"},{"key":"S1743921317003453_ref009","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139031998"},{"key":"S1743921317003453_ref001","doi-asserted-by":"crossref","DOI":"10.1201\/b19708","volume-title":"Spatial Point Patterns: Methodology and Applications in R","author":"Baddeley","year":"2015"}],"container-title":["Proceedings of the International Astronomical Union"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1743921317003453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T23:33:44Z","timestamp":1555630424000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1743921317003453\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":9,"journal-issue":{"issue":"S325","published-print":{"date-parts":[[2016,10]]}},"alternative-id":["S1743921317003453"],"URL":"https:\/\/doi.org\/10.1017\/s1743921317003453","relation":{},"ISSN":["1743-9213","1743-9221"],"issn-type":[{"value":"1743-9213","type":"print"},{"value":"1743-9221","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10]]}}}