Big Data and High-Dimensional Statistical Inference: Recent Advances and Challenges

You are warmly invited to attend the Cramér Society autumn meeting 2017, Big Data and High-Dimensional Statistical Inference: Recent Advances and Challenges.

Date: Friday the 27th of October, 2017 09:45 AM– 17:30 PM

Location: KTH Royal Institute of Technology, Stockholm. Sal K1, Teknikringen 56, Kemi, floor 3, KTH Campus. See the link below

https://www.kth.se/places/room/id/19814134-e285-49bc-9683-2f5c2edadbcf

Meeting summary:
Statistical methodologies to handle Big Data and, especially, high-dimensional data, have gained importance in many applied scientific fields. Examples include information technology, finance, astrophysics, functional genomics and proteomics, to name just a few. To reflect the importance of bridging state-of-the-art research with practical applications, the goal of this meeting is two-fold: to highlight novel research addressing the high dimensionality in statistical inference, and to demonstrate examples of exploiting statistical methods for Big Data from a variety of applied areas. The meeting features a number of speakers from the Swedish statistical community as well as international researchers.

The conference is hosted by the Department of Mathematics, KTH Royal Institute of Technology, Stockholm. It is financially supported by the Swedish Statistical Society (Statistikfrämjandet).

Please register no later than October 13th , by writing an e-mail to pavlenko@math.kth.se

More information……

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