Thomas S Shively

An advocate for integrating knowledge on statistical methodologies and their practical applications, Thomas S. Shively is a distinguished Professor in the Department of Statistics and Data Science and the Joe B. Cook Professor of Business at the McCombs School of Business at The University of Texas at Austin. With a career spanning several decades, Professor Shively has made significant contributions to the fields of time series regression models, nonparametric regression models, and hierarchical Bayes models. His work is particularly noted for its impact on marketing research and the statistical analysis of air pollution data, areas where his expertise has been instrumental in advancing both theoretical and applied research. Professor Shively's affiliation with the Information, Risk, and Operations Management department underscores his commitment to interdisciplinary collaboration. Since joining the faculty in 1986, he has been a pivotal figure in the academic community, fostering a culture of innovation and excellence. His tenure as the IROM Department chair from 2002 to 2007 was marked by strategic initiatives that enhanced the department's research capabilities and academic reputation. Throughout his career, Professor Shively has been recognized for his exceptional teaching abilities, receiving numerous awards that highlight his dedication to student success and educational leadership. His pedagogical approach is characterized by a deep understanding of statistical principles and a passion for conveying complex concepts in an accessible manner. In addition to his academic achievements, Professor Shively has played an active role in the broader statistical community. As a past president of the Austin chapter of the American Statistical Association, he has contributed to the advancement of statistical knowledge and practice, fostering professional development and collaboration among statisticians. Professor Shively's research interests are diverse, encompassing model selection techniques and the development of innovative statistical models that address real-world challenges. His work in environmental science, particularly in the analysis of air pollution data, reflects a commitment to using statistical tools to inform policy and improve public health outcomes. Through his research, teaching, and service, Thomas S. Shively continues to shape the future of statistics and data science, inspiring the next generation of scholars and practitioners to pursue excellence in their endeavors. His legacy is one of intellectual rigor, interdisciplinary collaboration, and a steadfast dedication to advancing the field of statistics.