Statistical Inference, Learning and Models in Big Data

9 Sep 2015Beate FrankeJean-François PlanteRibana RoscherAnnie LeeCathal SmythArmin HatefiFuqi ChenEinat GilAlexander SchwingAlessandro SelvitellaMichael M. HoffmanRoger GrosseDieter HendricksNancy Reid

The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning, and models in big data was held in 2015 in Canada, under the general direction of the Canadian Statistical Sciences Institute, with major funding from, and most activities located at, the Fields Institute for Research in Mathematical Sciences... (read more)

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