新着情報
高次元統計解析セミナー
投稿日時 : 2015/02/16
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高次元統計解析で世界的に著名な J. S. Marron教授が来日します。
下記の通り、セミナーを開催します。
http://www.math.tsukuba.ac.jp/~aoshima-lab/jp/symposium.html
お気軽にご参加ください。
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日 時：2015年2月20日（金）13:30-15:00
場 所：筑波大学自然系学系棟D棟 D814 (筑波キャンパス内)
講演者：J. S. Marron (University of North Carolina at Chapel Hill,
National University of Singapore)
題 目：High Dimension Low Sample Size Asymptotics
要 旨：
The asymptotics of growing sample size are the foundation of classical
mathematical statistics. But modern big data challenges suggest
consideration of growing dimension as well. A perhaps extreme case of
this has fixed sample size. That context is seen to have some
counter-intuitive mathematical structure. These non-standard ways of
thinking about data are seen to be the key to understanding important
aspects of real genomic data.
世話人: 青嶋 誠 (数学域)
下記の通り、セミナーを開催します。
http://www.math.tsukuba.ac.jp/~aoshima-lab/jp/symposium.html
お気軽にご参加ください。
----------------------------------------------------------------------
日 時：2015年2月20日（金）13:30-15:00
場 所：筑波大学自然系学系棟D棟 D814 (筑波キャンパス内)
講演者：J. S. Marron (University of North Carolina at Chapel Hill,
National University of Singapore)
題 目：High Dimension Low Sample Size Asymptotics
要 旨：
The asymptotics of growing sample size are the foundation of classical
mathematical statistics. But modern big data challenges suggest
consideration of growing dimension as well. A perhaps extreme case of
this has fixed sample size. That context is seen to have some
counter-intuitive mathematical structure. These non-standard ways of
thinking about data are seen to be the key to understanding important
aspects of real genomic data.
世話人: 青嶋 誠 (数学域)
