September 25-27, Toronto, Canada
Aims: Recent strides in Bayesian inference applied to intricate complex-structured datasets offer a unique opportunity to bring together disparate research communities in Canada and the US. In the current landscape, the development of statistical methods and Bayesian computing tools tailored to high-dimensional and large-scale complex data is of paramount importance within the realm of data science. The proposed conference serves as a conduit for idea exchange, fostering fruitful collaborations, particularly among young researchers. Notably, the workshop’s structure will revolve around tackling Big Data challenges across diverse scientific domains, with an emphasis on digital privacy, astronomical investigations, and climate change.
REGISTRATION IS NOW CLOSED
Scientific Committee: Radu Craiu (Toronto), James Flegal (UC Riverside), Galin Jones (Minnesota)
Local Organizing Committee: Yichen Ji, Morris Greenberg, Ruyi Pan, KC Tsiolis, Leo Watson.
Conference contact email: fast.and.curious.statistics@utoronto.ca
NEW: Tentative schedule (The LIST OF SESSIONS is here, and the BOOK OF ABSTRACTS is here). A SOCIAL EVENT will take place Friday, Sept 26, from 6 to 9pm at the Faculty Club, 41 Willcocks street.
THOSE WHO SECURED FINANCIAL SUPPORT FROM THE CONFERENCE ORGANIZERS CAN FIND INSTRUCTIONS FOR REIMBURSEMENT IN THIS DOCUMENT
Sponsors: We gratefully acknowledge logistic and financial support from the Department of Statistical Sciences, the Faculty of Arts and Science, the Data Sciences Institute at the University of Toronto, and the Institute for Research in Statistics and its Applications at the University of Minnesota.
Address: 10th floor, 700 University Ave, Toronto, Ontario, Canada.
Accomodations: There are several hotels which are close to the conference venue (roughly ordered by price):
Radu Craiu's Homepage 