Final 研讨会 Schedule

10^th Eugene 卢卡奇研讨会 is planned for May 14^th, 2016 in the Department of 数学 and 统计数据 at Bowling Green State University.  The theme of this one-day symposium is on statistical learning, to honor the late Professor 尤金·卢卡奇 for his contributions to Statistical Science and the statistics programs at BGSU.  这个页面 gives some history on the Lukacs Visiting Professorship and descriptions of the previous Lukacs symposia.

Invited speakers include Professor Peter Song from Michigan Institute of 数据科学, University of Michigan and Professor Rebecca Steorts from Department of Statistical Science, 杜克大学.

Professor Song is Professor of Biostatistics at the University of Michigan. His current research areas include the development of statistical methodology and algorithms for fusion learning and homogeneity pursuit in data integration to address various analytic challenges from data heterogeneity.  Another focus of his current research is on the regression analysis of networked data, with applications to electroencephalogram data analysis on human growth and development.

Professor Steorts is a rising star on statistical learning. Her research on record linkage and sparse clustering was funded by the John Templeton Foundation, 和美国国家科学基金会. She was named to the MIT Technology Review’s 35 Innovators Under 35 in 2015.

Call for contributed speakers. We welcome contributed talks on statistical learning or any other field of 统计数据. Please submit your title and abstract to any member of the organization committee before April 30^th, 2016.

Registration fee is $50 covering the symposium mixer on May 13^th, breakfast, lunch and dinner on May 14^th.

Register for the 卢卡奇研讨会

Organization Committee:                  Jim Albert             albert@bjqzgy.com

                                                     瀚峰陈       hchen@bjqzgy.com

                                                     约翰陈            jchen@bjqzgy.com