APSPS/統計数学セミナー 10/15

[Yuta Koike]

IBISMLの皆様

東京大学の小池と申します。

10月のAsia-Pacific Seminar in Probability and Statistics (APSPS)の告知です。

Date: 15 October (Wed), 2025
Time: 14:00 (Japan)
Speaker: Daisuke Kurisu (U-Tokyo)
Title: Empirical likelihood methods for manifold-valued data
Abstract: There has been growing interest in the statistical analysis
of random objects that take values in non-Euclidean metric spaces. A
particularly important class of such objects arises from data on
manifolds. This talk focuses on inference for the Fréchet mean and
related population quantities on manifolds. We introduce the concept
of nonparametric likelihood for manifold-valued data and develop
general inference methods by adapting the theory of empirical
likelihood. In addition to establishing fundamental asymptotic
properties, such as Wilks’ theorem for the empirical likelihood ratio
statistic, we present several extensions of the proposed methodology,
including two-sample testing, inference for the Fréchet variance,
quasi-Bayesian inference, local Fréchet regression, and estimation of
the Fréchet mean set. Simulation studies and real-data applications
illustrate both the practical usefulness of our methodology and its
advantages over the conventional Wald test. This talk is based on
joint work with Taisuke Otsu (LSE).

https://sites.google.com/view/apsps/home


東京大学からは、統計数学セミナーを通して、Zoomで配信します。
参加希望の方は以下のGoogle Formより２日前までにご登録ください。
ご登録後、会議参加に必要なURLを送付いたします。
https://docs.google.com/forms/d/e/1FAIpQLSfHFBr3HRB8e0dCinhTHK03WxJqOMlB8g1qmXy1EN58yNtfng/viewform

統計数学セミナーオーガナイザー
吉田 朋広(東大数理)，増田 弘毅 (東大数理)，荻原 哲平(東大情報理工), 小池 祐太(東大数理)
Nakahiro Yoshida (University of Tokyo), Hiroki Masuda (University of
Tokyo), Teppei Ogihara (University of
Tokyo), Yuta Koike (University of Tokyo)
Email:  ogi...@mist.i.u-tokyo.ac.jp
Web:  http://www.ms.u-tokyo.ac.jp/seminar/probstat/future.html





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Asia-Pacific Seminar in Probability and Statistics


The seminar is created as a permanent forum for good research in the
field. It is our way to counterbalance the restrictions imposed on us
by the pandemic and to still promote scientific exchange and
cooperation. It will run using Zoom.

Topics include probabilistic models for natural phenomena, stochastic
processes and statistical inference, statistical problems in
high-dimensional spaces, asymptotic methods, statistical theory of
diversity. At the same time, there are no restrictions on other topics
of the seminar presentations.

The emphasis is on novelty, but even more so, on beauty, and clarity.
Where possible, heuristic arguments are preferred to presentation of
technical details.  Speakers are encouraged to discuss meaningful
applications and open problems.  Good reviews are welcome.
Presentations should be accessible to good postgraduate students in
probability and mathematical statistics.

The Board of the Seminar consists of

Anirvan Chakraborty (IISER, Kolkata)
Sanjay Chaudhuri (Univ. Nebraska-Lincoln)
Feng Chen (UNSW, Sydney)
Jie Yen Fan (Monash U, Melbourne)
Jesse Goodman (U Auckland)
Martin Hazelton (U Otago, Dunedin)
Mark Holmes (U Melbourne, currently at UBC, Vancouver)
Ajay Jasra (Chinese U of Hong-Kong, Shenzhen), Chair
Estate Khmaladze (VUW, Wellington)
Chenxu Li (Peking U)
Hiroki Masuda (U Tokyo)
Stephen Muirhead (U Melbourne)
Soumendu Sundar Mukherjee (ISI, Kolkata)
Teppei Ogihara (U Tokyo), Deputy Chair
Spiro Penev (UNSW, Sydney)
Rahul Roy (ISI, Delhi)
Lijiang Yang (Tsinghua U, Beijing)
Nakahiro Yoshida (U Tokyo)



The Board is responsible for the programme. All of us will be happy to
discuss details with potential speakers. Please, e-mail us if you
would like to contribute -- addresses readily obtainable on the web.

We plan to run seminars on Wednesdays, once a month. Time will vary in
between UTC+10 - UTC+12 (India) and UTC+17 - UTC+20 (New Zealand).
Specific dates will be given on the web-page
                                https://sites.google.com/view/apsps/home