{"id":167607,"date":"2014-11-01T00:00:00","date_gmt":"2014-11-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/probabilistic-programs-as-spreadsheet-queries\/"},"modified":"2023-02-21T03:54:41","modified_gmt":"2023-02-21T11:54:41","slug":"probabilistic-programs-as-spreadsheet-queries","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/probabilistic-programs-as-spreadsheet-queries\/","title":{"rendered":"Probabilistic Programs as Spreadsheet Queries"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We describe the design, semantics, and implementation of a probabilistic programming language where programs are spreadsheet queries. Given an input database consisting of tables held in a spreadsheet, a query constructs a probabilistic model conditioned by the spreadsheet data, and returns an output database determined by inference.<\/p>\n<p>This work extends probabilistic programming systems in three novel aspects: (1) embedding in spreadsheets, (2) dependently-typed functions, and (3) typed distinction between random- and query-variables. It empowers users with knowledge of statistical modelling to do inference simply by editing textual annotations within their spreadsheets, with no other coding.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We describe the design, semantics, and implementation of a probabilistic programming language where programs are spreadsheet queries. Given an input database consisting of tables held in a spreadsheet, a query constructs a probabilistic model conditioned by the spreadsheet data, and returns an output database determined by inference. This work extends probabilistic programming systems in three 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