AOSHIMA LABORATORY
Leading the world in new research in statistics
for High-Dimensional Data Analysis
INFORMATION of SYMPOSIUM
Supported by
- Grant-in-Aid for Scientific Research (A) 20H00576 (Project Period: 2020-2024)
- "Innovative Developments of Theories and Methodologies for Large Complex Data"
(Principal Investigator: Makoto Aoshima), - Grant-in-Aid for Challenging Research (Exploratory) 19K22837
(Project Period: 2019-2021) - "Tackling Individualized Modeling with Ultra-High Dimensional Data"
(Principal Investigator: Makoto Aoshima)
| Title | International Symposium on New Developments of Theories and Methodologies for Large Complex Data |
|---|---|
| Program/ Flyer | Program/ Flyer |
| Organizers | Makoto Aoshima (University of Tsukuba) Mika Sato-Ilic (University of Tsukuba) Kazuyoshi Yata (University of Tsukuba) Aki Ishii (Tokyo University of Science) Yugo Nakayama (Kyoto University) |
| Date | Nov. 5-6, 2021 |
| Venue | Online (Zoom)+Tsukuba International Congress Center (Room 102) |
| Address | 2-20-3 Takezono, Tsukuba, Ibaraki 305-0032, Japan |
| Contents & Purposes | Nowadays, large complex data such as high-dimensional data and big data appear in many areas of science. There has been an explosive increase in the number of statistical analysis cases related to large complex data. Statistical methodologies for analyzing large complex data have been changing dramatically. In this workshop, we would like you to bring research findings of your field and have the opportunity to exchange ideas, share knowledge and experience. Our purpose is to have a fruitful opportunity to discuss from a broad point of view. In addition, we will invite distinguished researchers and hold keynote sessions and special invited sessions. Keynote speakers Prof. Dietrich von Rosen (Swedish University of Agricultural Sciences) Prof. Su-Yun Huang (Academia Sinica) Special invited speakers Prof. Jin-Ting Zhang (National University of Singapore) Dr. Sungkyu Jung (Seoul National University) |
| Keywords | Large complex data, Big data, High-dimensional statistical analysis, Machine learning, Artificial intelligence, Biostatistics, Bioinformatics, Data mining, Finance, and so on. |
| Traveling expenses | The travel expenses are mainly for shared speakers. |
| Abstract/ Report | We would like speakers to email (1) abstract (A4 paper, within 10 pages) and (2) report (A4 paper, within 2 pages) to the address stated below. |
| Abstract/ Report Deadline | Oct. 15, 2021 |
| Registration/ Abstract submission | Kazuyoshi Yata Institute of Mathematics, University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8571, Japan E-mail: yata [at] math.tsukuba.ac.jp TEL: +81-29-853-4291 |
| Access | Please see THIS PAGE. |
INFORMATION of SEMINARS
Supported by
- Grant-in-Aid for Scientific Research (A) 15H01678 (Project Period: 2015-2019)
- "Theories and Methodologies for Large Complex Data"
(Principal Investigator: Makoto Aoshima), - Grant-in-Aid for Challenging Research (Exploratory) 17K19956
(Project Period: 2017-2018) - "New Developments for Big Data by Non-sparse Modeling"
(Principal Investigator: Makoto Aoshima).
| Date | November 14, 2018, 3:00 PM-4:10 PM |
|---|---|
| Venue | D509 Institute of Natural Sciences, University of Tsukuba [Access] |
| Speaker | Nitis Mukhopadhyay (Department of Statistics, University of Connecticut-Storrs) |
| Title | Point Estimation Methods for a Negative Exponential Location: Illustrations with Infant Mortality and Bone Marrow Data |
| Abstract | We introduce Stein-type two-stage, modified two-stage, and purely sequential strategies to estimate an unknown location parameter of a negative exponential distribution (with an unknown scale parameter) under a newly defined and modified Linex loss function. We aim at controlling the associated risk function per unit cost (RPUC) by bounding it from above with a positive number ω that is fixed in advance. We emphasize both asymptotic first-order and second-order properties for the modified two-stage and purely sequential estimation strategies. In developing asymptotic second-order properties for the modified two-stage and purely sequential methodologies, we heavily rely upon basic ideas rooted in Mukhopadhyay and Duggan (1997) and nonlinear renewal theory from Lai and Siegmund (1977, 1979), Woodroofe (1977), and Ghosh et al. (1997), respectively. Then, we take to extensive data analysis carried out via simulations when requisite sample sizes may range from small to moderate to large. We find that the Stein-type two-stage estimation methodology oversamples significantly and yet the achieved risk may not be close to ω. On the other hand, both modified two-stage and purely sequential estimation strategies perform remarkably well. Next, we will validate the major theoretical first-order and second-order properties through simulated data. The methodologies will also be illustrated using real datasets from health studies, namely, infant mortality data and bone marrow data. |
| Keywords | Location parameter; Modified Linex loss; Modified two-stage; Purely sequential; Real data illustrations; Risk per unit cost; Simulations; Two-stage. |
Meetings and workshops that we helped organize
-
Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies for Various High-Dimensional Models: Trends in the Forefront"
Online, February 22, 2022 -
Grants-in-Aid for Scientific Research Symposium
"International Symposium on New Developments of Theories and Methodologies for Large Complex Data"
Tsukuba International Congress Center, November 5-6, 2021 - The 4th International Conference on Econometrics and Statistics
South Korea, June 24-26, 2021
http://cmstatistics.org/EcoSta2020/ - The 6th Institute of Mathematical Statistics Asia Pacific Rim Meeting
Melbourne, Australia, January 5-8, 2021
http://ims-aprm2021.com/ -
Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies for Large Complex Data: Frontline Trends and New Developments"
Tsukuba International Congress Center, December 4-5, 2020 - Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies for Various High-Dimensional Models and Their Applications to Related Fields"
Iias Tsukuba, February 17-18, 2020 - Grants-in-Aid for Scientific Research Symposium
"International Symposium on Theories and Methodologies for Large Complex Data"
Tsukuba International Congress Center, November 21-23, 2019 - The 3rd International Conference on Econometrics and Statistics
Taiwan, June 25-27, 2019
http://cmstatistics.org/EcoSta2019/index.php - Grants-in-Aid for Scientific Research Symposium
"International Symposium on Statistical Theory and Methodology for Large Complex Data"
University of Tsukuba, November 16-18, 2018 - The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting
Singapore, June 26-29, 2018
https://ims-aprm2018.stat.nus.edu.sg/ - The 4th Conference of International Society of Nonparametric Statistics
Italy, June 11-15, 2018
http://www.isnps2018.it/ - Grants-in-Aid for Scientific Research Symposium
"Statistical Analysis for Large Complex Data -Theories, Methodologies, and Their Applications to the Related Fields-"
University of Tsukuba, December 1-3, 2017 - Grants-in-Aid for Scientific Research Symposium
"International Symposium on Statistical Analysis for Large Complex Data"
University of Tsukuba, November 21-23, 2016 - The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting
Hong Kong, June 27-30, 2016
http://ims-aprm2016.sta.cuhk.edu.hk/ - Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies for Large Complex Data: Trends in the Forefront"
University of Tsukuba, November 16-18, 2015 - ISNPS Meeting "Biosciences, Medicine, and novel Non-Parametric Methods"
Graz, Austria, July 12-15, 2015 - Workshop on Statistical Methods for Large Complex Data
National Sun Yat-sen University, Taiwan, March 12-14, 2015 - Grants-in-Aid for Scientific Research Symposium
"Workshop on Statistical Methods for Large Complex Data"
University of Tsukuba, November 10-12, 2014 - The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
"Recent Developments in High-Dimensional Inference and Methodologies"
Howard International House, Taipei, Taiwan, June 30-July 3, 2014 - Workshop on Statistics for High-Dimensional and Dependent Data
National Taiwan University, Taiwan, March 21, 2014 - Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies for High-Dimensional Data Analysis and their Applications to Related Fields"
University of Tsukuba, November 25-27, 2013 - The 4th International Workshop in Sequential Methodologies
University of Georgia, U.S.A., July 18-21, 2013
http://www.stat.uga.edu/IWSM2013 - The 7th Japan Statistical Society Spring Meeting
"Theories and Methodologies in High Dimensional Data Analysis: the Forefront Trends"
Gakushuin University, March 3, 2013 - The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
"High-Dimensional Inference and Methodologies"
Tsukuba International Congress Center, July 3, 2012 - Grants-in-Aid for Scientific Research Symposium
"Theories and Methodologies of Statistical Estimation and Their Latest Trends"
University of Tsukuba, November 7-9, 2011 - The 3rd International Workshop in Sequential Methodologies
Stanford University, California, U.S.A., June 14-16, 2011 - Grants-in-Aid for Scientific Research Symposium
"Statistics for High Dimensional Data -Theories, Methodologies, and Their Applications to the Related Fields-"
University of Tsukuba, December 14-16, 2009