Past Conferences
2019 Rutgers Statistics Symposium:
Tomorrow's Statistics for Today's Data
May 2-3, 2019
Proteomics Building, Room 120, Busch Campus
Rutgers, The State University of New Jersey
Limited Seating -- Registration Required!
Symposium Information:
2022 Conference on Advances in Bayesian and Frequentist Statistics
with a Celebration of the 80th Birthday of Professor William E. Strawderman
April 1-2, 2022
Fiber Optic Materials Research Building, Auditorium, Busch Campus
Rutgers, The State University of New Jersey
Limited Seating, Registration Required
Conference Information:
Conference on Recent Advances in Statistics and Data Science
with a Celebration of Professors Regina Liu and Cun-Hui Zhang's Special Birthdays
May 11-13, 2023
Fiber Optic Materials Research Building, Auditorium, Busch Campus
Rutgers, The State University of New Jersey
Limited Seating, Registration Required
Conference Information:
Nonclinical Biostatistics Conference 2019
June 17-19, 2019
Rutgers, the State University of New Jersey
Statistical Issues in Analyzing Information from Diverse Sources
May 6 - 7, 2010
CCICADA Center, CoRE Building, Rutgers University, Busch Campus
Conference on Advanced Statistical Methods for Underground Seismic Event Monitoring and Verification
March 7th, 2013
Washington, D.C.
This one day conference is sponsored by NSF and Rutgers University. It focuses on the important area of underground seismic event monitoring and verification.Its objective is to promote close collaboration between statisticians and other scientists in the field to investigate the potential new approaches by combining state-of-art statistical methods with advanced sensor technology. Read more...
Click here for registration.
2014 Rutgers Statistics Symposium
Statistics and the Century of Data
Presented by:
Rutgers University, Department of Statistics & Biostatistics
Friday, May 2, 2014
9:00AM – 6:00PM
Rutgers University, Piscataway, NJ
Fiber Optics Auditorium, Busch Campus
Featured Speakers
- David Donoho, Stanford University
- Jianqing Fan, Princeton University
- David Madigan, Columbia University
- Peter McCullagh, University of Chicago
- Giovanni Parmigiani, Harvard University
- Bin Yu, University of California, Berkeley
Symposium Information
- Program (including slides from talks)
- Abstracts
- Hotels
- Directions
- Contact
Organizing Committee
Lee Dicker (co-chair), Han Xiao (co-chair), Rong Chen, Harry Crane, Donald Hoover, Ping Li,
John Kolassa, Joseph Naus, Harold Sackrowitz, William Strawderman, Zhiqiang Tan, Minge Xie,
Dan Yang, Cun-Hui Zhang
Symposium Coordinator
Marcy Collins
Phone: 848-445-7687
Fax: 732-445-3428
email:
April 11-13, 2016
Rutgers University, New Brunswick, NJ
The objective of this two-and-half day workshop is to study the role and foundation of statistical inference in the era of data science and also its applications in fusion learning. Its main foci are:
- Report new advances in and re-examine the foundations of statistical inferences in the modern era of data science,
- Develop links to bridge gaps among different statistical paradigms, including Bayesian, frequentist and fiducial (BFF) inferences, and explore the possibility of unifying statistical theme for scientific learning and research
- Disseminate new ideas and foster new research approaches in fusion learning from multiple diverse data sources.
Professor Sir David R. Cox (Oxford University) is to deliver a featured address through a video presentation, to be discussed by Professor Nancy Reid (University of Toronto). Professors Jim Berger (Duke University) and Brad Efron (Stanford University) are to deliver the keynote addresses, to be followed by many more distinguished lecturers and discussions.
The workshop will bring together statisticians and data scientists across the aisles to address issues related to foundation of statistical inferences and its applications to combining information and fusion learning. This workshop will help disseminate new development of coherent BFF inferences and new advances in statistical inferences and their applications to both within the field of statistics and all fields that use statistics. It is sponsored by Rutgers Statistics Department, DIMACS center and the National Science Foundation (NSF).
(Click here for more information)
Click below to view the Call for Posters:
| Click here |
PLEASE NOTE: We are still accepting submissions!
Conference Venue:
Busch Student Center, Busch Campus
Rutgers, The State University of New Jersey
Featured Hotels
We have blocks with the following hotels reserved at a discounted rate. There is limited availability for these rooms, please use the links to book! We encourage attendees to reserve from the room blocks first.
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To and fro shuttle services between the recommended hotels (Hyatt Regency and Rutgers University Inn) and the Conference venue will be provided on all three days of the conference.
Please see the below hotels for the Rutgers rate!
Heldrich Hotel - New Brunswick
Follow the link to book at the Rutgers rate! Link
• Current topics in Design of Experiments
• Recent Advances in the Design of Computer Experiments
• Optimal designs for AI/ML via hyperparameter optimization and explainability
• Advancing Causal Inference and Experimental Design in the era of AI
• Uncertainty Quantification
• Design and Analysis of Order-of-Addition Experiments
• Experimental Designs in Nonclinical Pharmaceutical Sciences
• Classical designs: new perspectives
• Design-based causal inference from randomized experiments
• Adaptive experimental designs: the Neymanian allocation and beyond
• John Stufken (George Mason University)
• Dennis Lin (Purdue University)
• Hongquan Xu (University of California, Los Angeles)
• Chenlu Shi (New Jersey Institute of Technology)
• Lin Wang (Purdue University)
• Iavor Bojinov (Harvard Business School)
• Xinran Li (University of Chicago)
• Zach Branson (Carnegie Melon University)
• Anqi Zhao (Duke University)
• Nicole Pashley (Rutgers University)
• Waverly Wei (University of Southern California)
• Robert Mee (University of Tennessee, Knoxville)
• Samuel Onyambu (University of California, Los Angeles)
• Xinwei Deng (Virginia Tech)
• Qiang Zhao (Northeast Normal University)
• Oksana Chkrebtii (Ohio State University)
• Simon Mak (Duke University)
• Qiong Zhang (Clemson University)
• Lulu Kang (University of Massachusetts, Amherst)
• Timothy O’Brien (Loyola University, Chicago)
• Ryan Lekivetz (JMP)
• Stan Altan (JNJ)
• Peili Wang (Pfizer)
• Sam Gardner (Eli Lilly)
• Evan Rosenman (Claremont McKenna College)
• Harrison Li (Harvey Mudd College)
• Emily Chao-Hui Huang (Academia Sinica, Taiwan)
• Nicholas A. Rios (George Mason University)
• Frederick Kin Hin Phoa (Academia Sinica, Taiwan)
• Jing-Wen Huan (Academia Sinica, Taiwan)
• Alexandra Stadler (JKU, Austria)
• Danny Ying (University of California, Los Angeles)
• Difan Song (Georgia Tech)
• Yi Zhang (Rutgers University)
• Jose Toledo Luna (University of California, Los Angeles)
• Xinrui Ruan (University of California, Berkeley)
• Ahnaf Rafi (University of Virginia)
• Wei Zheng (University of Tennessee, Knoxville)
Busch Student Center, Busch Campus
Rutgers, The State University of New Jersey
604 Bartholomew Rd, Piscataway, NJ, 08854
Directions via Google Maps
Committee & Contact Information
Organizers:
Tirthankar Dasgupta (
Conference Coordinators:
Amanda Velcheck (
Guests may park in Lots 51, 59, 60B & 67 using the link below. Attendees will click “Visitor” then enter their email and vehicle information to complete registration. Once completed they will receive an email and or text confirmation.
https://parkingbase.com/c/rutgers/d/3676664?eventId=a217bc29-c46f-4d37-8241-375d276430fd
Rutgers affiliated Faculty, Staff and Students must have a Rutgers parking permit (Semester, Daily, or Event) and park accordingly. Faculty, Staff, and Students parking without a parking permit or outside their parking permit assignment will be subjected to ticketing and/or towing.