### 10th World Congress in Probability and Statistics

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

## Anomalous Diffusions and Related Topics (Organizer: Zhen-Qing Chen)

### Lp-Kato class measures for symmetric Markov processes under heat kernel estimates

Kazuhiro Kuwae (Fukuoka University)

### Green function estimates and Boundary Harnack principles for non-local operators whose kernels degenerate at the boundary

Panki Kim (Seoul National University)

### Heat kernel upper bounds for symmetric Markov semigroups

Jian Wang (Fujian Normal University )

### Inverse local time of one-dimensional diffusions and its comparison theorem

Lidan Wang (Nankai University)

### Archimedes' principle for ideal gas

Krzysztof Burdzy (University of Washington)

Joint work with Jacek Malecki

### Q&A for Organized Contributed Session 07

###### Session Chair

Zhen-Qing Chen (University of Washington)

## The Advances in Time Series and Spatial Statistics (Organizer: Wei-Ying Wu)

### Interpretable, predictive spatio-temporal models via enhanced pairwise directions estimation

ShengLi Tzeng (National Sun Yat-sen University)

### Model selection with a nested spatial correlation structure

Chun-Shu Chen (National Central University)

### Consistent order selection for ARFIMA models

Kun Chen (Southwestern University of Finance and Economics)

### Whittle likelihood for irregularly spaced spatial data

Soutir Bandyopadhyay (Colorado School of Mines)

### Q&A for Organized Contributed Session 17

###### Session Chair

Wei-Ying Wu (National Dong Hwa University)

## Advanced Statistical Methods for Complex Data (Organizer: Jongho Im)

### On the verifiable identification condition in NMAR missing data analysis

Kosuke Morikawa (Osaka University and The University of Tokyo)

### Bayesian hierarchical spatial model for small-area estimation with non-ignorable nonresponses and its application to the NHANES dental caries data

Ick Hoon Jin (Yonsei University)

### Raking-based relabeling classification method for highly imbalanced data

Seunghwan Park (Kangwon National University)

### Imputation approach for outcome dependent sampling design

Jongho Im (Yonsei University)

nonparametrically estimated and then a Bayesian bootstrap method is used to generate imputed values. The proposed method employs Rubin's variance formula for variance estimation of imputation estimators. A limited simulation study shows that the proposed method performs well and is comparable to the previous methods.

### Q&A for Organized Contributed Session 24

###### Session Chair

Seung Hwan Park (Kangwon National University)