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• W2116116344 abstract "As proposed, the focus of the workshop was core statistical theory—something that in past might have been called “mathematical statistics”, were not this name so closely associated with the 1960’s vision of statistics before the computer revolution changed the discipline. The emphasis was on “the new statistics”, relevant theory for the data-analytic circumstances. (The note [1], authored by one of the organizers, brings more detailed historical analysis and discussion of recent aspects.) Several participants of the workshop recognized somewhat polemical nature of the term “new statistics”, which quickly became a sort of recurrent mantra in the discussions. However, “new” does not imply negation of “old” here. The viewpoint of one of the former editors of JASA, that the theoretical underpinnings of statistical science “hold firm as ever”, was not really challenged at the meeting. While the past have seen a lot of crystallization of ideas one one hand and fierce ideological disputes on another, the present is characterized not any of these prevailing over others, but by a totally different, in mathematical parlance orthogonal angle of view. Such a perception shift was caused in the first place by the burgeoning development of “statistical sciences”, that is, disciplines that rely on statistical theory to express their specific ideas, like econometrics, genomics, signal processing, or machine learning. These days, statisticians can be found at various places, not necessarily mathematical or statistical departments; for instance, among Nobel laureates in economics. The turmoil in statistical sciences led to a tremendous reevaluation of the “core of statistics” as defined in [3]: the subset of statistical activity that is focused inward, on the subject itself, rather than outward, towards the needs of statistics in particular scientific domains. The character of this reappraisal did not have that much character of confirmation or refutation, but more that of assessing relevance and usability. Although nothing is definitive in this respect—the supposedly barren fields of yesterday may turn fertile irrigated by the demands of applications—statisticians witnessed that some of the items on their buffet tables were in strong demand, and some of them remained unnoticed. As emphasized in the talks of several participants, the past differences in tastes (say, regarding the use or abuse of inverse probability in statistical deliberations) are felt to be much less divisive now; there are issues now that are more important than sectarian quarrels. To acquire some feeling about the current situation, the workshop brought together a number of leadingedge researchers in mathematical statistics (a considerable number of them affiliated with computer science rather than classical statistical departments), together with key people from the statistical sciences and other" @default.
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• W2116116344 date "2008-01-01" @default.
• W2116116344 modified "2023-09-27" @default.
• W2116116344 title "Understanding of the New Statistics: Expanding Core Statistical Theory" @default.
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