Declarative Statistics

نویسندگان

  • Roberto Rossi
  • Ozgur Akgun
  • Steven David Prestwich
  • Armagan Tarim
چکیده

In this work we introduce declarative statistics, a suite of declarative modelling tools for statistical analysis. Statistical constraints represent the key building block of declarative statistics. First, we introduce a range of relevant counting and matrix constraints and associated decompositions, some of which novel, that are instrumental in the design of statistical constraints. Second, we introduce a selection of novel statistical constraints and associated decompositions, which constitute a selfcontained toolbox that can be used to tackle a wide range of problems typically encountered by statisticians. Finally, we deploy these statistical constraints to a wide range of application areas drawn from classical statistics and we contrast our framework against established practices.

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عنوان ژورنال:
  • CoRR

دوره abs/1708.01829  شماره 

صفحات  -

تاریخ انتشار 2017