KU Bayes Colloquium 2025: Bridging Theory and Practice in an Academic Exchange Forum 

Korea University Business School (KUBS) will host the KU Bayes Colloquium: Bayesian Inference for Econometrics and Marketing on Saturday, May 31, in Room 217 of the LG-POSCO Hall. 

This colloquium provides a forum for sharing the latest research on Bayesian inference in the fields of econometrics and marketing, fostering academic exchange that bridges theory and practice. Since the spring semester of 2017, the KU Bayesian Econometrics Research Group—led by Professor Kyu Ho Kang of the Department of Economics and Professor Jae Hwan Kim of KUBS—has organized this event annually in collaboration with interested researchers at Korea University. 

This year’s colloquium will feature a total of five research presentations. 

The first presentation, titled “Market-Oriented Consumer Research,” will be delivered by Professor Greg Allenby of Ohio State University as part of an international collaborative project. This study explores consumer-centric quantitative modeling in the field of marketing. 

The second session, titled “Linking Product Experience to Preference via Lexical Priors,” will be jointly presented by Professor Hyowon Kim (Sungkyunkwan University) and Professor YiChun Miriam Liu (Iowa State University). This study employs Bayesian methods to examine the relationship between product experience and consumer preference through the lens of lexical priors. 

The third presentation, titled “Finding Inflation Uncertainty Factors: A Sparse Stochastic Volatility Approach,” will be delivered by Professor Kyu Ho Kang (Korea University) and Professor Hui-Jhong Choi (University of Rochester). This study investigates a quantitative method for estimating macroeconomic uncertainty through a sparse stochastic volatility framework. 

The fourth presentation, titled “Modeling Disjunctive Topic Associations with Metadata,” will be delivered by Professor Dongsoo Kim (Chung-Ang University) and Professor Dongyub Kim (Gachon University). This study presents a novel approach to modeling topic associations based on metadata. 

The final presentation, titled “Music Royalty Trading: Investment or Fandom,” will be jointly delivered by Professors Byungwan Ko, James L. Park, and Jaehwan Kim (all from Korea University Business School). This study analyzes transaction data to investigate the nature of music royalty trading platforms, exploring whether they primarily function as vehicles for financial investment or as fandom-driven marketplaces. 

Following the colloquium, an open discussion session will be held under the theme “Bayesian Inference for Contemporary Research.” 

This event is expected to serve as a meaningful platform for exploring interdisciplinary collaboration centered on Bayesian analytical methods, while also promoting active academic exchange among researchers from Korea and abroad.