A New Era of Statistical Science

A New Era of Statistical Science: A Special Conference in Honor of Prof. Dipak Dey’s 70th Anniversary

Statistical science has been a crucial discipline in our understanding of the world around us. It is the science of collecting, analyzing, and interpreting data, and it has been used in a wide range of fields, including social sciences, medicine, engineering, and business. However, recent advances in technology and computing power have paved the way for a new era of statistical science.

This new era of statistical science is driven by the rapidly increasing availability of data and advances in computing technology. As a result, statisticians and data scientists are now able to analyze and make sense of vast amounts of complex and diverse data, providing new insights and understanding of phenomena that were once impossible to fully comprehend. This has led to a paradigm shift, where traditional statistical methods are being combined with novel  techniques to create more accurate and efficient models for data analysis and interpretation.

ABOUT DR. DEY

Prof. Dipak K. Dey is a Board of Trustees Distinguished Professor in the Department of Statistics at the University of Connecticut. He is a renowned statistician known for his pioneering work in Bayesian analysis, decision science, and model selection. Prof. Dey earned his Bachelor’s and Master’s degrees in Statistics from the Indian Statistical Institute and a Ph.D. in Statistics from Purdue University, under the supervision of Prof. Jim Berger. With over 320 research articles published in reputable national and international journals, and over 10 books and edited volumes to his name, he has made a significant impact on the field of statistics and data science, especially in the Latin American community. Before joining the University of Connecticut in 1985, Prof. Dey held academic positions at Stanford University, the University of Kentucky, and Texas Tech University, and has also held visiting appointments at several universities and institutions worldwide. He is a fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, the International Society for Bayesian Analysis, and the International Statistical Institute, and has received numerous awards and honors for his work.

Data:

August 16th to August 18th, 2023

Local:
Auditório III, Instituto de Ciência Exatas – ICEx, Universidade Federal de Minas Gerais

Organization

Scientific and Organization Committee

  • Marcos Oliveira Prates (UFMG – Chair)
  • Victor Hugo Lachos (UCONN)
  • Aldo Medina Garay (UFPE)
  • Francisco Louzada Neto (USP-São Carlos)
  • Carlos A. Abanto-Valle (UFRJ)
  • Jorge L. Bazán Guzmán (USP-São Carlos)

Program

Poster Session

The participants interested in participating in the poster session must do the Subscription and include the title, authors and abstract  of the poster in the message.

For the submission to be validated it must be submitted and payed until 14/07/2023.

Due to space limitations, the poster session will have a limit of 60 posters that will be selected by the organizing committee by arriving order. It is important to notice that the organizing committee will only disqualify poster that in their understanding are not statistical projects.

Subscription

*mandatory fields

Payment

Please use the buy button to proceed with payment for the conference

Accomodation

The Allia Hotel in partnership with the event will offer a promotional rate for participants on the 16th, 17th and 18th of August 2023.

The prices charged will be:

  • Single room daily R$202.00+5%
  • Double room daily R$239.00+5%

and include breakfast and parking (in street).

To get the promotional prices, the participant must click on the Reservations link and at the end of the calendar include the promotional code 1APVDRP.