Program

ICSTA'22 Keynote Lecture - Virtual

July 29 | 09:00 AM -09:45 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK

On Binscatter*
Dr. Matias D. Cattaneo, Princeton University, USA

Matias D. Cattaneo is a Professor of Operations Research and Financial Engineering (ORFE) at Princeton University, where he is also an Associated Faculty in the Department of Economics, the Center for Statistics and Machine Learning (CSML), and the Program in Latin American Studies (PLAS). His research spans econometrics, statistics, data science and decision science, with particular interests in program evaluation and causal inference. Most of his work is interdisciplinary and motivated by quantitative problems in the social, behavioral, and biomedical sciences. As part of his main research agenda, he has developed novel semi-/non-parametric, high-dimensional, and machine learning inference procedures with demonstrably superior robustness to tuning parameter and other implementation choices. Matias was elected Fellow of the Institute of Mathematical Statistics (IMS) in 2022. He also serves in the editorial boards of the Journal of the American Statistical Association, Econometrica, Operations Research, Econometric Theory, the Econometrics Journal, and the Journal of Causal Inference. In addition, Matias is an Amazon Scholar, and has advised several governmental, multilateral, non-profit, and for-profit organizations around the world.

ICSTA'22 Keynote Lecture - Virtual

July 29 | 09:45 AM -10:30 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK

A Decade of Lessons Learned in Supporting a National Big Data Platform for Urban Research
Dr. Richard O. Sinnott , The University of Melbourne, Australia

Professor Richard O. Sinnott is Professor of Applied Computing Systems at the University of Melbourne. He has been technical lead on a multitude of large-scale international projects with emphasis on big data and security worth over $500m. This includes numerous projects in the defence, intelligence and biomedical domains. He has over 450 peer-reviewed publications across a range of computing and application-specific domains.

Virtual Session

July 29 | 10:35 AM - 12:20 PM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK & Dr. Mihaela Paun, University of Glasgow, UK

Applied Statistics I

Virtual Session

July 29 | 12:30 PM - 01:50 PM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria

Medical Statistics

Virtual Session

July 29 | 10:35 AM - 12:05 PM | Session Chair: Dr. Eliana Ibrahimi, University of Tirana, Albania

Statistical Methodology

Virtual Session

July 29 | 12:20 AM - 01:20 PM | Session Chair: Dr. Eliana Ibrahimi, University of Tirana, Albania

Computational Statistics

ICSTA'22 Plenary Lecture - Virtual

July 29 | 02:35 PM - 03:30 PM | Session Chair: Dr. Noelle Samia, Northwestern University, USA

Machine Learning for Precision Medicine: Model Selection, Estimation, and Inference
Dr. Yi Li, University of Michigan, USA

Yi Li is a Professor of Biostatistics and Professor of Global Public Health at the University of Michigan (UM). After receiving a Ph.D. from the UM in 1999, he was an Assistant Professor and Associate Professor at the Harvard School of Public Health for 12 years before rejoining the UM to lead a major research center in 2011. He has made important contributions in a wide range of statistical areas, including data science, survival analysis, high-dimensional data analysis, measurement error problems, spatial data analysis, random-effects models, clinical trial design, and high-dimensional data analysis. He has published more than 200 papers in major statistical journals as well as in premium medical journals. He has led or is leading numerous federal projects funded by NIH. He is an ASA fellow, has served as a regular member for several NIH study sessions and is serving as an associate editor for 6 major statistical journals.

ICSTA'22 Keynote Lecture - Physical

July 29 | 3:30 PM -4:15 PM | Session Chair: Dr. Noelle Samia, Northwestern University, USA

Prior Dependence in L1-regularized Bayesian Regression
Dr. Christopher Hans, The Ohio State University, USA

Christopher M. Hans is an Associate Professor in the Department of Statistics at The Ohio State University, where he has been a faculty member since receiving his Ph.D. in Statistics and Decision Sciences from Duke University in 2005. His research has focused on aspects of Bayesian regression modeling, including computational methods for Bayesian model averaging with many predictors. His recent work has concentrated on studying how commonly used prior distributions for regression coefficients impact posterior inference, which has led to the development of new, structured priors that avoid a range of undesirable behaviors. He also has a long-standing interest in understanding and advancing connections between Bayesian regression and penalized optimization approaches to regularized regression.

Christopher M. Hans is an Associate Professor in the Department of Statistics at The Ohio State University, where he has been a faculty member since receiving his Ph.D. in Statistics and Decision Sciences from Duke University in 2005. His research has focused on aspects of Bayesian regression modeling, including computational methods for Bayesian model averaging with many predictors. His recent work has concentrated on studying how commonly used prior distributions for regression coefficients impact posterior inference, which has led to the development of new, structured priors that avoid a range of undesirable behaviors. He also has a long-standing interest in understanding and advancing connections between Bayesian regression and penalized optimization approaches to regularized regression.

ICSTA'22 Keynote Lecture - Virtual

July 29 | 4:30 PM -5:15 PM | Session Chair: Dr. Noelle Samia, Northwestern University, USA

Dispersed Methods for Handling Dispersed Count Data
Dr. Kimberly Sellers, Georgetown University, USA

Kimberly F. Sellers, Ph.D. is a Professor of Mathematics and Statistics, specializing in Statistics at Georgetown University in Washington, DC; and a Principal Researcher with the Center for Statistical Research and Methodology Division of the U.S. Census Bureau. Prof. Sellers completed her BS and MA degrees in Mathematics at the University of Maryland College Park, and then obtained her PhD in Mathematical Statistics at The George Washington University. Her research areas of interest and expertise are in generalized statistical methods involving count data that contain data dispersion; and in image analysis techniques, particularly low-level analyses including preprocessing, normalization, feature detection, and alignment. Prof. Sellers held previous faculty positions at Carnegie Mellon University as a Visiting Assistant Professor of Statistics, and the University of Pennsylvania School of Medicine as an Assistant Professor of Biostatistics and Senior Scholar at the Center for Clinical Epidemiology and Biostatistics before her return to the DC area. Sellers is an Elected Member of the International Statistical Institute, and an American Statistical Association (ASA) Fellow. Meanwhile, she is an active contributor to efforts to diversify the fields of mathematical and statistical sciences, both with respect to gender and race/ethnicity. She is the inaugural chairperson of the ASA’s Justice, Equity, Diversity, and Inclusion (JEDI) Outreach Group (serving in 2021-2022), and is a former Chairperson for the ASA’s Committee on Women in Statistics.

Physical Session

July 29 | 05:15 PM - 06:30 PM | Session Chair: Dr. Noelle Samia, Northwestern University, USA

Applied Statistics II

Virtual Session

July 30 | 09:30 AM - 10:30 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK

Statistical Methodology II

ICSTA'22 Plenary Lecture - Virtual

July 30 | 10:50 AM - 11:45 AM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria

Structural Deep Learning in Conditional Asset Pricing
Dr. Jianqing Fan, Princeton University, USA

Jianqing Fan is Frederick L. Moore Professor, Princeton University. After receiving his Ph.D. from the University of California at Berkeley, he has been appointed as professor at the University of North Carolina at Chapel Hill (1989-2003), the University of California at Los Angeles (1997-2000), and professor at the Princeton University (2003–). He was the past president of the Institute of Mathematical Statistics and International Chinese Statistical Association. He is co-editing _Journal of Business and Economics Statistics _and was the co-editor of The Annals of Statistics, Probability Theory and Related Fields, and Journal of Econometrics. His published work on statistics, economics, finance, and computational biology has been recognized by The 2000 COPSS Presidents’ Award, The 2007 Morningside Gold Medal of Applied Mathematics, Guggenheim Fellow, P.L. Hsu Prize, Royal Statistical Society Guy medal in silver, Noether Senior Scholar Award, and election to Academician of Academia Sinica and follows of IMS, ASA, AAAS and SoFiE.

Physical Session

July 30 | 11:45 AM - 12:05 PM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria

Time-Series Analysis

Phase Distributions of Complex Multitaper Transfer Function Estimates

ICSTA 115
Time: 11:45 - 12:00
Presenter: Skye Griffith, Queen's University, Canada
Authors: Skye Griffith, Glen Takahara, Wesley S. Burr

Multifractal Analysis of MODIS Terra Satellite Time Series of Italian Urban Forests

ICSTA 123
Time: 12:00 - 12:05
Presenter: Luciano Telesca, Institute of Methodologies for Environmental Analysis, Italy
Authors: Luciano Telesca, Nicodemo Abate, Farid Faridani, Carmen Fattore, Michele Lovallo, Rosa Lasaponara

Return to Top ⇑

---

ICSTA'22 Plenary Lecture - Virtual

July 30 | 1:10 PM - 01:55 PM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria

Machine Learning Enabled Quality Improvement in Smart Manufacturing Systems
Dr. Jianjun Shi, Georgia Institute of Technology, USA

Dr. Shi’s research focuses on data enabled manufacturing, and system informatics and control. His methodologies integrate system informatics, advanced statistics, and control theory, and fuse engineering system models with data science methods for design and operational improvements of manufacturing systems. The technologies developed by Dr. Shi’s research group have been implemented in a wide variety of production systems and produced significant economic impacts.

Dr. Shi was elected a member of National Academy of Engineering (2018), and an Academician of the International Academy for Quality (2013). He is a Fellow of ASME (2007), IISE (2007), INFORMS (2008), and SME (2021). He received the George Box Medal (2022), the Statistics in Physical and Engineering Sciences (SPES) Award (2022), the ASQ Walter Shewhart Medal (2021), the S. M. Wu Research Implementation Award (2021), the ASQ Brumbaugh Award (2019), IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), and NSF CAREER Award (1996). Dr. Shi is the founding chair (1998-1999) of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers.

View Abstract Return to Top ⇑

---

Virtual Session

July 30 | 01:55 AM - 02:55 PM | Session Chair: Dr. Milica Maričić, University of Belgrade, Serbia

Time-Series Analysis II

Unsupervised Classification of Categorical Time Series through Innovative Distances

ICSTA 111
Time: 01:55 - 02:10
Presenter: Ángel López-Oriona, University of A Coruña, Spain
Authors: Ángel López-Oriona, José A. Vilar, Pierpaolo D'Urso

Risk Measure Based on ARMA-TGARCH-GED-Copula Model

ICSTA 130
Time: 02:10 - 02:25
Presenter: Kun Wang, Xi'an Jiaotong University, China
Authors: Kun Wang, Wanrong Li

Longitudinal Beta GEE Modelling for Analysing Global and Regional Prevalence of Anaemia in Women

ICSTA 131
Time: 02:25 - 02:40
Presenter: Eliana Ibrahimi, University of Tirana, Albania
Authors: Eliana Ibrahimi, Jona Shkurti, Aldiona Kërri, Thao Mai Phuong Tran

Effect of Monthly Mean Temperature on Accidental Mortality in the Elderly: A Time-Series Analysis in Tokyo, Kyoto, Sapporo, Japan

ICSTA 141
Time: 02:40 - 02:55
Presenter: Masao Kanamori, Ritsumeikan University, Japan
Authors: Masao Kanamori

Return to Top ⇑

---

Virtual Session

July 30 | 02:55 AM - 03:55 PM | Session Chair: Dr. Milica Maričić, University of Belgrade, Serbia

Social Statistics

Do European Adolescents Lack Interest And Confidence In ICT? Evidence from the PISA Survey

ICSTA 137
Time: 02:55 - 03:10
Presenter: Maria Symeonaki, Panteion University of Social and Political Sciences, Greece
Authors: Maria Symeonaki, Sara Ayllón, Samuel Lado

Approximate Bayesian Inference for Educational Attainment Models

ICSTA 140
Time: 03:10 - 03:25
Presenter: Shuhrah Alghamdi, University of Glasgow, UK
Authors: Shuhrah ALghamdi, Nema Dean, Ludger Evers

Jackknife Estimator Consistency for Nonlinear Mixture

ICSTA 149
Time: 03:25 - 03:40
Presenter: Vitalii Miroshnychenko, Taras Shevchenko National University of Kyiv, Ukraine
Authors: Rostyslav Maiboroda, Vitaliy MIroshnychenko

Combining Statistical and Rule-Based Expert Knowledge to Measure Employment Precarity

ICSTA 153
Time: 03:40 - 03:55
Presenter: Maria Symeonaki, Panteion University of Social and Political Sciences, Greece
Authors: Penelope Stamou, Elena Stringli, Glykeria Stamatopoulou, Dimitrios Parsanoglou and Maria Symeonaki

Return to Top ⇑