Skip to main content

Tom Shively


Department:     Information, Risk & Operations Management

Additional Titles:     Joe B. Cook Professor of Business

Research Areas:     Marketing Models, Statistical Analysis

Thomas Shivley headshot

Shively, Thomas S.
Professor, Department of Information, Risk, and Operations Management. Tom Shively received his B.A. from Middlebury College and his M.B.A. and Ph.D. from the University of Chicago. His research and teaching interests include time series regression models, nonparametric regression models, model selection, hierarchical Bayes models, marketing research and the statistical analysis of air pollution data.



Professional Awards

Faculty Research Committee Grant



CBA Foundation Award for Research Excellence by an Assistant Professor



Teaching Awards

Outstanding Professor in the Executive MBA Program



Outstanding Professor in the Executive MBA Program



El Paso Foundation Teaching Award



Joe D. Beasley Award for Teaching Excellence


Canan Ulu, and Thomas S. Shively.
A Bayesian Model for Multicriteria Sorting Problems.IISE Transactions. Forthcoming. 

Leigh M. McAlister, Garrett P Sonnier, and Tom S. Shively. 2012. The Relationship Between Online Communications and Firm Value. Marketing Letters 23(1), 1-12.


Tom S. Shively, Stephen G. Walker, and Paul Damien. 2011. Nonparametric function estimation subject to monotonicity, convexity and other shape constraints. Journal of Econometrics 161(2), 166-181.


Tom S. Shively, Kara Kockelman, and Paul Damien. 2010. A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics. Transportation Research: Part B 44(5), 699-715.


Tom S. Shively and Thomas W. Sager. 2009. A Bayesian approach to non-parametric monotone function estimation. Journal of the Royal Statistical Society: Series B 71, 159-175.


Greg M. Allenby, Tom S. Shively, Sha Yang, and Mark J. Garratt. 2004. A Choice Model for Packaged Goods:Dealing with Discrete Quantities and Quantity Discounts. Marketing Science 23, 95-108.


Michael S. Smith, Paul Yau, Tom S. Shively, and Robert Kohn. 2002. Estimating Long-Term Trends in Tropospheric Ozone Levels. International Statistical Review 70, 99-124.


Sally Wood, Robert Kohn, Tom S. Shively, and Wenxin Jiang. 2002. Model Selection in Spline Nonparametric Regression. Journal of the Royal Statistical Society, Series B 64, 119-139.


Kim Menezes and Tom S. Shively. 2001. Estimating the Long-Term Trend in the Extreme Values of Tropospheric Ozone Using a Multivariate Approach. Environmental Science and Technology 35, 2554-2561.


Tom S. Shively and Thomas W. Sager. 2000. A Semiparametric Regression Approach to Adjusting for Meteorological Variables in Air Pollution Trends. Environmental Science and Technology 33, 3873-3880.


Etti G. Baranoff, Thomas W. Sager, and Tom S. Shively. 2000. A Semiparametric Stochastic Spline Model as a Managerial Tool for Potential Insolvency. Journal of Risk and Insurance 67, 369-396.


Tom S. Shively, Greg M. Allenby, and Robert Kohn. 2000. Identifying Latent Relationships in Marketing: Nonparametric Estimation of Binary Latent Regression. Marketing Science 19, 149-162.


Tom S. Shively, Robert Kohn, and Sally Wood. 1999. Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior. Journal of the American Statistical Association 94, 777-806.


Kirthi Kalyanam and Tom S. Shively. 1998. Estimating Irregular Pricing Effects: A Stochastic Spline Approach. Journal of Marketing Research 35, 16-29.


Tom S. Shively. 1998. Point Optimal Invariant Tests, in Encyclopedia of Statistical Sciences, Samuel Kotz, Campbell B. Read, and David L. Banks, eds. Wiley and Sons, 586-589.


Tom S. Shively and Robert Kohn. 1997. A Bayesian Approach to Model Selection in Stochastic Coefficient Regression Models and Structural Time Series Models. Journal of Econometrics 76, 39-52.


Richard L. Smith and Tom S. Shively. 1995. A Point Process Approach to Modeling Trends in Troposhperic Ozone Based on Exceedances of a High Threshold. Atmospheric Environment 29, 3489-3499.


Tom S. Shively, Robert Kohn, and Craig F. Ansley. 1994. Testing for Nonlinearity in a Semiparametric Regression Model. Journal of Econometrics64, 77-96.


Maxwell L. King and Tom S. Shively. 1993. Locally Optimal Testing when a Nuisance Parameter is Present only Under the Alternative. Review of Economics and Statistics 75, 1-7.


Tom S. Shively. 1993. Testing for Autoregressive Disturbances in a Time Series Regression with Missing Values. Journal of Econometrics 57, 233-255.


Craig F. Ansley, Robert Kohn, and Tom S. Shively. 1992. Computing P-Values for the Generalized Durbin-Watson and Other Test Statistics. Journal of Econometrics 54, 277-300.


Robert Kohn, Tom S. Shively, and Craig F. Ansley. 1992. Computing P-Values for the Generalized Durbin-Watson Statistic and Residual Autocorrelations in Regression. Applied Statistics 41, ALG 759.


Tom S. Shively. 1991. An Analysis of the Trend in Ground-Level Ozone Using Nonhomogeneous Poisson Processes. Atmospheric Environment25B, 387-396.


Tom S. Shively. 1990. An Analysis of the Long-Term Trend in Ozone Levels at Two Houston, Texas Sites. Atmospheric Environment 24B, 293-301.


Tom S. Shively, Craig F. Ansley, and Robert Kohn. 1990. Fast Evaluation of the Distribution of the Durbin-Watson and Other Invariant Test Statistics in Time Series Regression. Journal of the American Statistical Association 85, 676-685.


Tom S. Shively. 1988. An Analysis of Tests for Regression Coefficient Stability. Journal of Econometrics 39, 367-386.


Tom S. Shively. 1988. An Exact Test for a Stochastic Coefficient in a Time Series Regression Model. Journal of Time Series Analysis 9, 81-88.