March 25, 2014 Dr. Venkatesh Shankar Coleman Chair Professor in Marketing Director of Research, Center for Retailing Studies Mays Business School, Texas A&M Title: A Flexible Semiparametric Approach to Model, Measure and Improve Sales Agency Productivity Abstract: Numerous firms use third-party sales agencies to sell their products. These firms are interested in identifying clusters of […]
March 20, 2014 Dr. Michael P. Bishop Professor and Haynes Chair in Geosciences Department of Geography Texas A&M University Title: Invitation to Multidisciplinary Research and the Geospatial Science and Technology Center Abstract: Dr. Bishop will be presenting multidisciplinary research activities involving Earth Science, remote sensing, geographic information technology, and numerical modeling to address integrative science […]
April 3, 2014 Dr. Yanyuan Ma Professor of Statistics, Texas A&M University Title: Dimension reduction: A semiparameric approach, estimation, inference and efficiency. Abstract: We provide a novel and completely different approach to dimension reduction problems from the existing literature. We cast the dimension reduction problem in a semiparametric estimation framework and derive estimating equations. Viewing this problem from […]
February 25, 2014 Dr. Mathew McLean Postdoc Fellow, Department of Statistics, Texas A&M University Title: Tools for Reproducible Research and Dynamic Documents with R Abstract: This talk will review some tools for authoring reproducible, dynamic content for reports, presentations, software, and web pages. The goal is to provide brief overviews of a number of recently developed tools, mainly in […]
February 18, 2014 Dr. Mathew McLean Postdoc Fellow, Department of Statistics, Texas A&M University Title: Authoring Packages for the R Programming Language Abstract: The talk with cover some intermediate to advanced details of the R programming language with a focus on authoring R extensions (packages). I assume only basic familiarity with writing functions and working with R’s built-in data structures. […]