確率・ 統計・ 行列ワークショップ 彦根 2018

詳細については未定ですが, JSPS科研費 [1], [2]の研究の一環として, 2018年10月24日 (水) から 25日 (木) まで, 滋賀大学データサイエンス学部 (彦根キャンパス) にて, 小さな研究集会を行いますのでご案内致します.

Venue

会場は, 彦根キャンパス本部棟3階会議室1 の予定です.

滋賀大学彦根キャンパスまでのアクセスなど

大学へのバス時刻表

Schedule

2018年10月24日 (水)

13:30--14:30
青木敏氏 (神戸大学)/Satoshi AOKI (Kobe Univ.)
Characterizations of indicator functions for fractional factorial designs
A polynomial indicator function of designs, introduced by Fontana, Pistone and Rogantin (2000), is a basic tool to characterize fractional factorial designs in the field of computational algebraic statistics. For the case of two-level designs, the structure of the indicator function is well-known. For example, the coefficients of indicator functions have clear meanings relating to the orthogonality for the two-level cases. The polynomial relation among the coefficients are also derived for the two-level cases, which can be used to classify designs with given sizes. However, for the cases of multi-level designs with rational factors, such relations are complicated and interpretations are difficult. In this work, we consider the structure of the indicator function of general designs and its applications.
15:00--16:00
矢澤明喜子氏 (信州大学)/Akiko YAZAWA (Shinshu Univ.)
The Hessian matrix of a graph.
Let us consider the Hessian matrix of the weighted generating function for spanning trees in a graph $\Gamma$ with $n+1$ vertices. We assume that $\Gamma$ is simple, undirected and connected. We say that a subgraph in $\Gamma$ is a spanning tree if it is connected and has $n$ edges. A partial derivative corresponds to enumerating spanning trees including some edges. We show that the Hessian does not vanish for some graph by a combinatorial proof.
16:30--17:30
白井朋之氏 (九州大学)/Tomoyuki SHIRAI (Kyushu Univ.)
Limit theorems for random analytic functions and their zeros
The study of random analytic functions (power series) and their level sets has a long history and, especially, there have been many works on Gaussian analytic functions, which are random analytic functions that are also Gaussian processes. In this talk, after we survey some recent topics around Gaussian analytic functions and related point processes, we discuss limit theorems for random analytic functions and their zeros.
(本講演は滋賀大DSセミナーと共催)

2018年10月25日 (木)

10:00--11:00
伊師英之氏 (名古屋大学・JSTさきがけ)/ Hideyuki ISHI (Nagoya Univ. ・JST PRESTO)
Missing data problem and Cholesky decomposition
We consider a missing data problem for a multivariate normal distribution under the conditional independence assigned by a undirected graph. If there exists a perfect DAG structure on the graph compatible missing data pattern, we give an explicit solution of the likelihood equation, where the Cholesky decomposition plays a crucial role. Furthermore, in order to generalize the formula, we introduce an algebraic structure of a vector space of real symmetric matrices that admits a nice Cholesky decomposition.
11:30--12:30
小原敦美氏 (福井大学)/Atsumi OHARA (Fukui Univ.)
Doubly autoparallel submanifolds in the space of the probability simplex - Their characterization and classification -
We consider information geometry on the probability simplex to study doubly autoparallel submanifolds. Information geometry defines on the simplex two affine connections, respectively called the exponential and the mixture connections. The geometry naturally introduces submanifolds simultaneously autoparallel with respect to the both connections, which implies that such submanifolds are simultaneously exponential and mixture families of discrete probability distributions.We show their characterization and classification. This is a joint work with Prof. H. Ishi (Nagoya Univ.).
Lunch
14:00--15:00
下平英寿氏 (京都大学・理研AIP)/Hidetoshi SHIMODAIRA (Kyoto Uviv.・RIKEN AIP)
Selective inference for the problem of regions via multiscale bootstrap resampling with applications to hierarchical clustering and lasso
Selective inference procedures are considered for computing approximately unbiased p-values for arbitrary shaped hypotheses which are selected after looking at the data. Our idea is to estimate the geometric quantities, namely, signed distance and mean curvature, by the multiscale bootstrap in which we change the sample size of bootstrap replicates. Our method is second-order accurate in the large sample theory of smooth boundary surfaces of the hypothesis regions, and it is also justified for regions with nonsmooth surfaces such as cones. This is joint work with Yoshikazu Terada (Osaka University / RIKEN AIP).
(本講演は滋賀大DSセミナーと共催)
15:30--16:30
ブノワ コリンズ氏 (京都大学)/ Benoît COLLINS(Kyoto Univ.)
Norm convergence for random permutations
Consider a finite sequence of independent random permutations on n points. We will explain why, in probability, as n goes to infinity, these permutations viewed as operators on the (n-1) dimensional vector space orthogonal to the vector with all coordinates equal to 1, are asymptotically strongly free. Our proof relies on the development of a matrix version of the non-backtracking operator theory and a refined trace method. As a byproduct, we show that the non-trivial eigenvalues of random n-lifts of a fixed based graphs approximately achieve the Alon-Boppana bound with high probability in the large n limit. This result generalizes a theorem by Friedman. Time allowing, we will discuss more recent developments. This is joint work with Charles Bordenave.

過去の集会

世話人

竹村彰通 (滋賀大学・統計数理研究所), 栗木哲 (統計数理研究所), 沼田泰英 (信州大).

懇親会を24日の夕刻に行う予定でおります. 会場や予算は未定ですが, 予約のため事前に懇親会の参加人数を把握したいため, 懇親会に参加される方は, 10月14日までに 沼田泰英(信州大学理学部数学科, nu at math.shinshu-u.ac.jp) まで連絡を下さい.

研究集会自体への参加申し込みなどは必要ありません (懇親会については上記の通りです). 不明な点などは沼田泰英(信州大学理学部数学科, nu at math.shinshu-u.ac.jp) まで.