Program

6thInternational Conference on Statistics:
Theory and Applications


August 19, 2024 - August 21, 2024 | Barcelona, Spain
Our program is based on Central European Summer Time (CEST) - GMT+2



Our program is based on Central European Summer Time (CEST) - GMT+2


The Conference will be held in Barcelona, Spain, at Alimara Hotel Barcelona,. Please click here for map of the location.


09:15 AM - 10:00 AM ICSTA 2024 Keynote Lecture - Virtual
The Concept of Statistical Evidence: Historical Roots and Current Developments
Dr. Michael Evans, University of Toronto, Canada
09:45 AM - 10:35 AM Virtual Session
Applied Statistics I
10:35 AM - 10:45 AM

Session Break

10:45 AM - 11:30 AM ICSTA 2024 Keynote Lecture - Virtual
Recursive Trees with Generalized Affinities
Dr. Hosam M. Mahmoud, George Washington University, USA
11:30 AM - 12:30 PM Virtual Session
Applied Statistics II

ICSTA 2024 Scientific Committee Chairs:


Dr. Noelle Samia


Northwestern University, USA
ICSTA 2024 Conference Chair
Website


Dr. Dirk Husmeier


The University of Glasgow, UK
ICSTA 2024 Conference Co-chair
Website


Dr. Jürgen Pilz


University of Klagenfurt, Austria
local Committee Member
Website


ICSTA 2024 Keynote Lecture - Virtual

August 20 | 09:00 AM -09:45 AM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria


The Concept of Statistical Evidence: Historical Roots and Current Developments
Dr. Michael Evans, University of Toronto, Canada


Michael Evans is a Professor of Statistics at the University of Toronto. He received his Ph.D. from the University of Toronto in 1977 and has been employed there ever since with leaves spent at Stanford University and Carnegie Mellon University. He is a Fellow of the American Statistical Association, he served as Chair of the Department of Statistcs 1992-97, Interim Chair 2022-23 and as President of the Statistical Society of Canada 2013-2014. He has served in a number of editorial capacities as follows: Associate Editor of JASA Theory and Methods 1991-2005, Associate Editor of the Canadian Journal of Statistics 1999-2006 and 2017-present, Associate Editor of the journal Bayesian Analysis 2005-2015, and as an Editor 2015-2021, Subject matter Editor for the online journal FACETS (current) and Associate Editor of the New England Journal of Statistics in Data Science (current).

Michael Evans’ research has been concerned with multivariate Computational statistics, computational statistics, and the foundations of statistics. A current focus of research is the development of a theory of inference based upon an explicit definition of how to measure statistical evidence and the development of tools to deal with criticisms of Computational statistics associated with its inherent subjectivity. He has authored, or coauthored, numerous research papers as well as the books Approximating Integrals via Monte Carlo and Deterministic Methods (with T. Swartz) published by Oxford in 2000, Probability and Statistics: The Science of Uncertainty (with J. Rosenthal) published by W.H. Freeman in 2004 and 2010 and Measuring Statistical Evidence Using Relative Belief published by CRC Press/Chapman and Hall in 2015.


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Virtual Session

August 19 | 09:45 AM - 10:35 AM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria


Applied Statistics I


ICSTA 130
Time: 09:45 - 09:55
Presenter: Lule Basha, University of Tirana, Tirana, Albania
Authors: Lule Basha, Eralda Gjika, Ornela Gordani

ICSTA 152
Time: 09:55 - 10:05
Presenter: Hanadi Alzahrani, University of Glasgow, UK
Authors: Hanadi Alzahrani, Benn Macdonald, Caroline Haig, John Cleland

ICSTA 132
Time: 10:05 - 10:15
Presenter: Forest Ho-Chen, University of Pennsylvania, USA
Authors: Forest Ho-Chen

ICSTA 140
Time: 10:15 - 10:25
Presenter: Bienvenu Mbuya, University of Likasi, P.O. Box 1946, Likasi, Democratic Republic of Congo & University of Johannesburg, South Africa
Authors: Bienvenu Mbuya, Elvis Fosso-Kankeu, Jan Bongaerts and Antoine F. Mulaba-Bafubiandi

ICSTA 136
Time: 10:25 - 10:35
Presenter: Svitlana Shvydka, Slovak University of Technology, Slovak Republic
Authors: Svitlana Shvydka, Volodimir Sarabeev, Mária Ždímalová


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ICSTA 2024 Keynote Lecture - Virtual

August 20 | 10:45 AM -11:30 AM | Session Chair: Dr. Jürgen Pilz, University of Klagenfurt, Austria


Recursive Trees with Generalized Affinities
Dr. Hosam M. Mahmoud, Duke University, USA


N/A


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Virtual Session

August 19 | 11:30 AM - 12:30 PM | Session Chair: Dr. Svitlana Shvydka, Slovak University of Technology, Slovak Republic


Applied Statistics II


ICSTA 168
Time: 11:30 - 11:40
Presenter: Pankaj Kumar, Indian Institute of Technology Jodhpur, India
Authors: Pankaj kumar, Vivek Vijay

ICSTA 167
Time: 11:40 - 11:50
Presenter: Jianping Sun, University of North Carolina at Greensboro, USA
Authors: Jianping Sun, Jeffrey Choi, Duy Thuc Nguyen

ICSTA 174
Time: 11:50 - 12:00
Presenter: Raziyeh Hosseini, LMU statistics department, Germany
Authors: Raziyeh Hosseini

ICSTA 116
Time: 12:00 - 12:10
Presenter: Huawei Rebecca Han, Trent University, Canada
Authors: Huawei Han, Wesley S. Burr

ICSTA 171
Time: 12:10 - 12:20
Presenter: Huawei Rebecca Han, Trent University, Canada
Authors: Huawei Han, Wesley S. Burr

ICSTA 149
Time: 12:20 - 12:30
Presenter: Nicolò Biasetton, Università degli studi di Padova, Italy
Authors: Elena Barzizza, Nicolò Biasetton, Giorgio Caligiuri, Daniele Pennisi, Luigi Salmaso


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08:00 AM - 09:00 AM

Registrations

09:00 AM - 09:15 AM
Official Opening
Dr. Noelle Samia, Northwestern University, USA & Dr. Dirk Husmeier, The University of Glasgow, UK
09:15 AM - 10:00 AM ICSTA 2024 Keynote Lecture - Physical
Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning Blackboxes
Dr. Min-ge Xie, Rutgers University, USA
10:00 AM - 11:00 AM Physical Session
Computational statistics
11:00 AM - 11:20 AM

Coffee Break

11:20 AM - 12:35 PM Physical Session
Applied Statistics III
12:35 PM - 12:40 PM

Group Photo

12:40 PM - 01:40 PM

Lunch Break

ICSTA 2024 Keynote Lecture - Physical

August 20 | 09:15 AM -10:00 AM | Session Chair: Dr. Noelle Samia, Northwestern University, USA


Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning Blackboxes
Dr. Min-ge Xie, Rutgers University, USA


Min-ge Xie, PhD is a Distinguished Professor at Rutgers, The State University of New Jersey. Dr. Xie received his PhD in Statistics from University of Illinois at Urbana-Champaign and his BS in Mathematics from University of Science and Technology of China. He is the current Editor of The American Statistician and a co-founding Editor-in-Chief of The New England Journal of Statistics in Data Science. He is a fellow of ASA, IMS, and an elected member of ISI. His research interests include theoretical foundations of statistical inference and data science, fusion learning, finite and large sample theories, parametric and nonparametric methods. He is the Director of the Rutgers Office of Statistical Consulting and has a rich interdisciplinary research experiences in collaborating with computer scientists, engineers, biomedical researchers, and scientists in other fields.


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Physical Session

August 20 | 10:00 AM - 11:00 AM | Session Chair: Dr. Noelle Samia, Northwestern University, USA


Computational statistics


ICSTA 143
Time: 10:00 - 10:15
Presenter: Jiaming Zhang, University of Glasgow, UK
Authors: Jiaming Zhang, David Dalton, Hao Gao, Dirk Husmeier

ICSTA 160
Time: 10:15 - 10:30
Presenter: Hatice Ayşegül Demir, Izmir Institute of Technology, Turkey
Authors: Hatice Ayşegül Demir, Nihan Bulut, Mine Hamamcıoğlu Turan

ICSTA 148
Time: 10:30 - 10:45
Presenter: Serge Provost, The University of Western Ontario, Canada
Authors: Serge B. Provost, Yishan Zang

ICSTA 155
Time: 10:45 - 11:00
Presenter: Akram Mahmoudi, Jönköping University, Sweden
Authors: Akram Mahmoudi, Saumen Mandal


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Physical Session

August 20 | 11:20 AM - 12:35 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK


Applied Statistics III


ICSTA 115
Time: 11:20 - 11:35
Presenter: Seongah Im, University of Hawaii at Manoa, USA
Authors: Seongah Im

ICSTA 135
Time: 11:35 - 11:50
Presenter: Szu-Chi Chung, National Sun Yat-sen University, Taiwan
Authors: Szu-Chi Chung, Po-Cheng Chou

ICSTA 121
Time: 11:50 - 12:05
Presenter: Shrog Albalawi, Durham University, UK
Authors: Shrog Albalawi, Reza Drikvandi

ICSTA 109
Time: 12:05 - 12:20
Presenter: Luciano Telesca, Institute of Methodologies for Environmental Analysis, National Research Council, Italy
Authors: Luciano Telesca, Angelo Aromando, Rosa Lasaponara

ICSTA 127
Time: 12:20 - 12:35
Presenter: Li-Fei Huang, Ming Chuan University, Taiwan
Authors: Huang, Li-Fei


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09:00 AM - 09:45 AM Keynote Lecture - Physical
The Responsible Emboldening Of Probability Forecasts
Dr. Christopher Franck, Virginia Tech, USA
09:45 AM - 10:45 AM Physical Session
Applied Statistics IV
10:45 AM - 11:10 AM

Coffee Break & Posters Session

11:10 AM - 11:55 AM Physical Session
Applied Statistics V
11:55 AM - 12:40 PM Keynote Lecture - Physical
The Flexibility of Gaussian Bayesian Networks
Dr. Marco Grzegorczyk, University of Groningen, Netherland
11:55 PM - 12:55 PM

Lunch Break

07:30 PM - 09:30 PM

Gala Dinner - Alimara Hotel Barcelona

ICSTA 2024 Plenary Lecture - Physical

August 21 | 09:00 AM - 09:45 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK


The Responsible Emboldening Of Probability Forecasts
Dr. Christopher Franck, Virginia Tech, USA


Chris Franck is an Associate Professor in the Department of Statistics at Virginia Tech. He is an application-oriented methodologist who focuses on statistical problems in health applications, behavioral economics, probabilistic forecasting, bioinformatics, and other areas. His work includes Bayesian statistical methodologies that can be implemented automatically and/or with objective prior information, Model selection and averaging approaches and practical methods by which to assess their sensitivities, and finally, in cases where historical data is inadequate and contemporary information is available, he develops Bayesian methods that allow researchers to formally incorporate subjective information into their analyses and predictions.


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Physical Session

August 21 | 09:45 AM - 10:45 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK


Applied Statistics IV


ICSTA 142
Time: 09:45 - 10:00
Presenter: Elena Barzizza, University of Padova, Italy
Authors: Elena Barzizza, Riccardo Ceccato, Luigi Salmaso

ICSTA 131
Time: 10:00 - 10:15
Presenter: Elham Faghihzadeh, Zanjan University of Medical Sciences, Iran
Authors: Farzane Ahmadi, Elham Faghihzadeh

ICSTA 159
Time: 10:15 - 10:30
Presenter: Sy Keprissié John Asaph Sanogo, Hydro-Québec, Canada
Authors: Sy Keprissié John Asaph Sanogo

ICSTA 156
Time: 10:30 - 10:45
Presenter: Mehmet Siddik Cadirci, Cumhuriyet University, Turkey
Authors: Mehmet Siddik Cadirci


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Physical Session

August 21 | 10:45 AM - 11:10 AM | Session Chair: Dr. Dirk Husmeier, The University of Glasgow, UK & r. Noelle Samia, Northwestern University, USA


Posters Session


ICSTA 138
Presenter: Anna Morra, Danone Global Research & Innovation Center, Netherlands
Authors: Anna Morra, Maya Marintcheva-Petrova, Sonia Amodio

ICSTA 112
Presenter: Maria Victória Calderero, Thiago Ramires, Luiz Ricardo Nakamura
Authors: Maria Victória Calderero1, Federal University of Technology, Brazil

ICSTA 114
Presenter: Pedro Luiz Bacoccina Kaizer, Federal University of Technology, Brazil
Authors: Pedro Luiz Bacoccina Kaizer, Luiz Ricardo Nakamura

ICSTA 173
Presenter: Hiroki Hasegawa, University of Tsukuba, Japan
Authors: Hiroki Hasegawa, Homura Kawamura, Ryota Shin, Kazuyoshi Yata, Yukihiko Okada, Jun Kunimatsu

ICSTA 147
Presenter: Elena Barzizza, University of Padova, Italy
Authors: Elena Barzizza, Luigi Salmaso, Francesco Trolese

ICSTA 111
Presenter: Geovana Toledo Zorzi, Federal University of Technology, Brazil
Authors: Geovana Toledo Zorzi, Thiago Ramires, Luiz Ricardo Nakamura

ICSTA 110
Presenter: Friederike Preusse, Institute for Statistics, University of Bremen, Germany
Authors: Friederike Preusse

ICSTA 175
Presenter: Greeshma Balabhadra, Stony Brook University, USA
Authors: Greeshma Balabhadra


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Physical Session

August 21 | 11:10 AM - 11:55 AM | Session Chair: Dr. Noelle Samia, Northwestern University, USA


Applied Statistics V


ICSTA 129
Time: 11:10 - 11:25
Presenter: Golnaz Shahtahmassebi, Nottingham Trent University, UK
Authors: Golnaz Shahtahmassebi, Jose Maria Sarabia

ICSTA 169
Time: 11:25 - 11:40
Presenter: Shawkat Alkhazaleh, Jadara University, Jordan
Authors: Shawkat Alkhazaleh, Rawad Aloqdeh, Firas Al-Marashdeh

ICSTA 144
Time: 11:40 - 11:55
Presenter: Malik Yousef, Zefat Academic College, Galilee Digital Health Research Center, Israel
Authors: Malik Yousef, Nurten Bulut, Burcu Bakir Gungor, Bahjat F. Qaqish


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ICSTA 2024 Plenary Lecture - Physical

August 21 | 11:55 AM - 12:40 PM | Session Chair: Dr. Noelle Samia, Northwestern University, USA


The Flexibility of Gaussian Bayesian Networks
Dr. Marco Grzegorczyk, University of Groningen, Netherland


Marco Grzegorczyk is Associate Professor for Computational Statistics at the Bernoulli Institute of Groningen University (NL). He received his PhD in Statistics from the TU Dortmund University in Germany in 2006. Since then his main research focus has been on Bayesian network structure learning with a special focus on learning gene regulatory pathways and protein activation cascades from molecular data. He is Associate Editor of the journals `Computational Statistics’, ‘The Journal of Applied Statistics’ and `Statistica Neerlandica’. Also he is involved in the Statistical Modelling Society (treasurer) and the International Biometric Society (representative council).


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