March 5-7th, 2025

ISI-ISM-ISSAS 2025 Joint Conference

Venue: The Institute of Statistical Mathematics (ISM), Tachikawa, Tokyo, Japan

The ISI-ISM-ISSAS Conference is an annual conference to promote academic exchange among the three institutes: the Indian Institute of Statistics, India (ISI, भारतीय सांख्यिकीय संस्थान), the Institute of Statistical Mathematics, Japan (ISM, 情報・システム研究機構統計数理研究所), and the Institute of Statistical Science Academia Sinica, Taiwan (ISSAS, 中央研究院統計科學研究所).

The schedule overview of the workshop. Here the time is given as JST (UTC+9).

Day 1 (March 5th)

9:30 - Registration
9:50 - Opening
10:00 - 10:50 Session 1. Geometric methods (Chair: Anish Sarkar, ISI)Keisuke Yano (ISM)An information geometrical structure of a determinantal point processChen-Hsiang Yeang (ISSAS)Algorithms of finding independent holes in a network
Break
11:10 - 12:00 Session 2. Image analysis (Chair: Hideitsu Hino, ISM)Partha Sarathi Mukherjee (ISI)An image comparison method based on local pixel clusteringHsin-Chou Yang (ISSAS)AI-driven Integration of Multimodal Imaging Pixel Data and Genome-wide Genotype Data Enhances Precision Health for Type 2 Diabetes: Insights from a Large-scale Biobank Study
Lunch
13:15 - 14:30 Session 3. Regression analysis (Chair: Chen-Hsiang Yeang, ISSAS)Jayant Jha (ISI)Two-stage Circular-circular Regression with Zero-inflation: Application to Medical SciencesDaisuke Murakami (ISM)Spatial curriculum learning for modeling non-stationary processes in regression coefficientsHsin-Cheng Huang (ISSAS)Reconstructing East Asian Temperatures from 1368 to 1911 Using Historical Documents, Climate Models, and Data Assimilation
Break
14:50 - 16:05 Session 4. Dimension reduction (Chair: Shogo Kato, ISM)Minerva Mukhopadhyay (ISI)High-dimensional Inference using Random ProjectionsHsueh-Han Huang (ISSAS)Variable Selection for High-Dimensional Heteroscedastic Regression and Its ApplicationsShyamal Krishna De (ISI)Near-perfect Clustering Based on Recursive Binary Splitting Using Maximum Mean Discrepancy
Break
16:20 - Taking Overall Photo
16:30 - Lightning Talks (Chair: Kengo Kamatani, ISM)
17:10 - Poster SessionAmarnath Nandy (ISI)Robust Inference for linear regression models with skewed error distributionAnnesha Ghosh (ISI)On high-dimensional modifications of the nearest neighbor classifierDeborshi Das (ISI)Elephant Random Walks with Graph-Based Shared Memory: First- and Second-Order AsymptoticsEn-Yu Lai (ISSAS)Reframing cross-world independence for identifying path-specific effectsFumikazu Miwakeichi (ISM)Estimation of Nonlinear Structures in Linear Plasma DynamicsGenta Ueno (ISM)Relativistic Gaussian Mixture ModelMilan Kumar Das (ISSAS)Approximate Maximum Likelihood Estimation For Threshold Jump ProcessesShuhei Mano (ISM)First-order quasi-linear partial differential equations in statistical inferences and solving them with differential geometryShuhei Mano (ISM)Direct sampling from conditional distributions by sequential maximum likelihood estimationsSubhodeep Dey (ISI)Cross Sectional Regression with Cluster Dependence: Estimation and TestingTakeshi Emura (ISM)Parametric inference for the Mann-Whitney effect under survival copula modelsYi-Ju Lee (ISSAS)Predictive Modeling of Self-reported Diseases Using Medical Image Reports and Multi-omic Data: A XGBoost Study of Taiwan BiobankYoshinori Kawasaki (ISM)Statistical Modeling of Financial Data with Skew-Symmetric Error DistributionsYoshiyuki Ninomiya (ISM)Developing an information criterion under the double-descent phenomenonYuko Kakikawa (ISM)Model selection method for spatially varying models via Bayesian generalized lassoZhi-Yu Jou (ISSAS)A Generalized Mean Approach for Distributed-PCA
18:30 - Social Gathering @ISM

Day 2 (March 6th)

10:00 - 10:50 Session 5. Neural networks (Chair: Antar Bandyopadhyay, ISI)Akifumi Okuno (ISM)Outlier-Robust Neural Network Training: Efficient Optimization of Transformed Trimmed Loss with Variation RegularizationTso-Jung Yen (ISSAS)Fatty Liver Classification via Risk Controlled Neural Networks Trained on Grouped Ultrasound Image Data
Break
11:10 - 12:00 Session 6. Material science (Chair: Subhajit Dutta, ISI)Ryo Yoshida (ISM)Sim2Real Machine Learning in Data-Driven Materials ResearchFrederick Kin Hing Phoa (ISSAS)Molecule Discovery and Optimization via Evolutionary Swarm Intelligence
Lunch
13:15 - Free time
18:30 - Social Gathering

Day 3 (March 7th)

10:00 - 10:50 Session 7. New trend (Chair: Partha Sarathi Mukherjee, ISI)Takao Murakami (ISM)Subgraph Counting under Local Differential PrivacyHsin-wen Chang (ISSAS)Bivariate Analysis of Distribution Functions Under Biased Sampling
Break
11:10 - 12:00 Session 8. Classification (Chair: Hironori Fujisawa, ISM)Subhajit Dutta (ISI)On Exact Feature Screening in Ultrahigh-dimensional ClassificationShwu-Rong Shieh (ISSAS)Signature for response to PD-L1 inhibitor in metastatic Urothelial Cancer
Lunch
13:15 - 14:30 13:15 - 14:05 Session 9. Geo & Astro-statistics (Chair: Yi-Ju Lee, ISSAS)Shiro Ikeda (ISM)Imaging the Black Hole ShadowAtanu Biswas (ISI)A generalized Pegram's operator based autoregressive process for modelling categorical time seriesStephen Wu (ISM)Statistical modeling for earthquake early warning and its applications
Break
14:50 - 16:05 14:25 - 15:40 Session 10. Graph & diffusion (Chair: Hsin-wen Chang, ISSAS)Antar Bandyopadhyay (ISI)Interacting Urn Schemes: A simple and solvable model of "Self-Organized Criticality (SOC)"Shuhei Mano (ISM)A measure-on-graph-valued diffusion: a particle system with collisions and their applicationAnish Sarkar (ISI)First collision time of random walks - convergence to the Brownian web
16:05 - Closing

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