News

February 16, 2009

Visit to IIMC (Kolkata)

IIMC is the first residential business school that I have seen: all grad students live on campus! My gracious host Dean (cum statistician!) Saibal Chattopadhyay gave me a tour on campus and a "tour" of their different programs.

The talk "Explanatory vs. Predictive Modeling in Information systems Research" lead to some heated debates. Questions were raised such as "why should historians care about prediction?"; the nature of sequential analysis; and what a "model" means to statisticians versus the rest of the world.


February 16, 2009

Talks at the Melbourne Business School and RMIT

"To Explain or To Predict?", presented at MBS and RMIT, was followed by lively discussions with audiences that included researchers from a wide range of academia: political science, behavioral science, medicine, ecology, economics, information systems, and statistics. I've learned more about the status of predictive research in these different areas, and indeed it is alarming. I thank my gracious hosts Chris Lloyd (MBS) and Basil de Silva (RMIT) for these stimulating exchanges.


January 26, 2009

"To Explain or To Predict?" presented at Monash U's Econometrics & Business Statistics group

Prof Shmueli presented her work on "Explanatory Modeling vs. Predictive Modeling in Scientific Research" at the seminar series of the Econometrics & Business Economics group at Monash University, Melbourne, Australia. The talk was followed by a lively discussion of the differences and meaning of explanatory modeling and statistical modeling.


January 18, 2009

Visiting with Monash University

Prof Shmueli is visiting with the department of econometrics and business statistics at Monash University, Melbourne, Australia in Jan-Feb 2009.


December 4, 2008

Seminar @ U of Auckland: "Explanatory vs. Predictive Modeling in Scientific Research"

Prof. Shmueli gave a seminar on "Explanatory vs. Predictive Modeling in Scientific Research" at the Statistics department, University of Auckland, New Zealand. This is the largest statistics department in New Zealand.


Pages