8:00-8:45 Registration
8:40-8:45 Welcome Speech by the President of Istanbul Medipol Un., Prof. Bahadır Kürşat Güntürk
8:45-8:50 Welcome Speech by the conference chair, Prof. Mehmet Koçak
8:50-8:55 Welcome Speech by the honorable conference chair, Prof. Ejaz Ahmed
8:55-9:00 Announcements of HDDA-XVI by Prof. Antonio Calcagni
9:00-10:50 HDDA Plenary Session (Main Conference Hall) – Post variable selection: Cutting-edge statistical methods and applications in the AI era
Chair: Prof. Yi Li
9:00-09:50 Plenary Speech: Prof. Ejaz Ahmed — From Sparsity to Weak Signals: Advances in Post-Shrinkage Modeling
Note: A gift as a token of our appreciation will be presented by Prof. Bahadır Kürşat Güntürk, IMU President
9:50-10:20 Yi Li — Inference on deep learning
10:20-10:50 Subha Guha — Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
10:50-11:20 Coffee Break and Social Networking
11:20-12:35 Invited Session 1 (Main Conference Hall) : Variable Selection and Penalized Regression
Chair: Antonio Calcagni
11:20-11:45 Michael Evans — Basing statistical methodology on a precise definition of statistical evidence: a cost-benefit analysis
11:45-12:10 Bahadır Yüzbaşı — A Hybrid Regularization Framework for Correlated Feature Selection in High-Dimensional Data
12:10-12:35 Abbas Khalili — Sparse mixture-of-experts generalized linear models in ultrahigh dimensions
12:35-14:00 Lunch Break (Medipol Dining Hall)
14:00-14:40 Keynote Speech: Ming Yuan — The Estimation–Efficiency Frontier in Portfolio Complexity
Note: A gift as a token of our appreciation will be presented by Prof. Sabahattin Aydın, Founding President of IMU
14:40-15:55 Invited Session 2 (Main Conference Hall) : Financial Statistics and Statistical Learning
Chair: Ming Yuan
14:40-15:05 Erfanul Hoque — Optimizing Canada’s Inflation: A Novel Data-Driven Forecast Combination Approach
15:05-15:30 Joan Hu — Statistical Learning Strategies for Administrative Recurrent Event Data
15:30-15:55 Pakize Yiğit — Regularization and Machine Learning in High-Dimensional Linear Mixed Models: A Comparative Study
15:55-16:20 Coffee Break and Social Networking
16:20-17:20 Contributed Session 1 (Main Conference Hall) : Regularization and High-Dimensional Statistical Learning
Chair: Ersin Yılmaz
16:20-16:35 Akram Mahmoudi — Penalized Estimation in High-Dimensional DEA with Application to Swedish Electricity Distribution Data
16:35-16:50 İsmail Yenilmez — A two-stage Bayesian shrinkage strategy for high-dimensional regression
16:50-17:05 Judy Abdallah — Generalised estimating equations for high-dimensional matrix-valued responses
17:05-17:20 Yaqing Xu — Robust Transfer Learning for High-Dimensional GLM Using γ-Divergence with Applications to Cancer Genomics
END OF DAY-1: FREE EVENING (Dinner at your leisure)
