### 10th World Congress in Probability and Statistics

## Organized Contributed Session (live Q&A at Track 1, 11:30AM KST)

## Random Matrices and Infinite Particle Systems (Organizer: Hirofumi Osada)

### Dynamical universality for random matrices

Hirofumi Osada (Kyushu University)

[1] Hirofumi Osada, Hideki Tanemura, Infinite-dimensional stochastic differential equations and tail $\sigma$-fields, Probability Theory and Related Fields 177, 1137-1242 (2020).

[2] Yosuke Kawamoto, Hirofumi Osada, Hideki Tanemura, Uniqueness of Dirichlet forms related to infinite systems of interacting Brownian motions, (online) Potential Anal.

### Signal processing via the stochastic geometry of spectrogram level sets

Subhroshekhar Ghosh (National University of Singapore)

Based on joint work with Meixia Lin and Dongfang Sun.

### Logarithmic derivatives and local densities of point processes arising from random matrices

Shota Osada (Kyushu University)

[1] Hirofumi Osada, Infinite-dimensional stochastic differential equations related to random matrices, Probability theory and related fields, 2012, 153(3-4), 471--509.

[2] Alexander I Bufetov, Andrey V Dymov, Hirofumi Osada, The logarithmic derivative for point processes with equivalent Palm measures, J. Math. Soc. Japan, 71(2), 2019, 451--469.

[3] Hirofumi Osada, Hideki Tanemura, Infinite-dimensional stochastic differential equations and tail $\sigma$-fields, Probability Theory and Related Fields 177, 1137-1242 (2020).

### Stochastic differential equations for infinite particle systems of jump type with long range interactions

Hideki Tanemura (Keio university)

This talk is based on a collaboration with Shota Esaki (Fukuoka University).

### Q&A for Organized Contributed Session 09

###### Session Chair

Hirofumi Osada (Kyushu University)

## Advanced Learning Methods for Complex Data Analysis (Organizer: Xinlei Wang)

### Peel learning for pathway-related outcome prediction

Rui Feng (University of Pennsylvania)

### Principal boundary for data on manifolds

Zhigang Yao (National University of Singapore)

### Probabilistic semi-supervised learning via sparse graph structure learning

Li Wang (University of Texas at Arlington)

### Bayesian modeling for paired data in genome-wide association studies with application to breast cancer

Min Chen (University of Texas at Dallas)

### Q&A for Organized Contributed Session 18

###### Session Chair

Xinlei Wang (Southern Methodist University)

## Bayesian Inference for Complex Models (Organizer: Joungyoun Kim)

### Nonparametric Bayesian latent factor model for multivariate functional data with covariate dependency

Yeonseung Chung (Korea Advanced Institute of Science and Technology (KAIST))

### Bayesian model selection for ultrahigh-dimensional doubly-intractable distributions

Jaewoo Park (Yonsei University)

### Post-processed posteriors for banded covariances

Kwangmin Lee (Seoul National University)

### Adaptive Bayesian inference for current status data on a grid

Minwoo Chae (Pohang University of Science and Technology)

### Q&A for Organized Contributed Session 27

###### Session Chair

Joungyoun Kim (Yonsei Univesity)

## Recent advances in Time Series Analysis (Organizer: Changryoung Baek)

### Resampling long-range dependent time series

Shuyang Bai (University of Georgia)

### Robust test for structural instability in dynamic factor models

Changryong Baek (Sungkyunkwan University)

### On scaling in high dimensions

Gustavo Didier (Tulane University)

This is joint work with P. Abry (CNRS and ENS-Lyon), B.C. Boniece (Washington University in St Louis) and H. Wendt (CNRS and Université de Toulouse).

### Thresholding and graphical local Whittle estimation

Marie Duker (Cornell University)

### Cotrending: testing for common deterministic trends in varying means model

Vladas Pipiras (University of North Carolina at Chapel Hill)

### Q&A for Organized Contributed Session 28

###### Session Chair

Changryoung Baek (Sungkyunkwan University)