Kenichiro McAlinn

Ken is a 4th year Ph.D. candidate in statistical science at Duke University in the Department of Statistical Science (Adviser: Prof. Mike West) and a Ph.D. candidate in Economics at Keio University in the Department of Economics. Before coming to Duke, he received a dual masters from Keio University (Economics) and L'Institute D'Etudes Politiques De Paris (Economics and Public Policy, joint with Ecole Polytechnique and ENSAE). As an undergraduate at Keio University in Tokyo, Japan, he received a B.A. in Economics with a focus on Bayesian econometrics and film theory. He is currently a SAS econometric fellow.

Ken McAlinn

Research interests include: Bayesian theory and methods of dynamic models in time series analysis, forecast combination (Bayesian predictive synthesis), measuring volatility, latent structure, on-line filtering, and parallel/GPU computing, among others.

Application areas include: Economics, finance, marketing, business, and sports.

© Kenichiro McAlinn, 2016.