Selected Bibliography for Matt Taddy
Assistant Professor of Econometrics and Statistics
"Dynamic Trees for Learning and Design." Matthew A. Taddy, Robert B. Gramacy and Nicholas G. Polson; Journal of the American Statistical Association, 2011, 106(493), pp. 109-23.
"Particle Learning for General Mixtures." Carlos M. Carvalho, Hedibert Freitas Lopes, Nicholas G. Polson and Matt A. Taddy; Bayesian Analysis, 2010, 5, pp. 709-40.
"Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime." Matthew A. Taddy; Journal of the American Statistical Association, 2010, 105(492), pp. 1403-17.
"A Bayesian Nonparametric Approach to Inference for Quantile Regression." Matthew A. Taddy and Athanasios Kottas; Journal of Business and Economic Statistics, 2010, 28(3), pp. 357-69.
"Selection of a Representative Sample." Herbert Lee, Matthew Taddy and Genetha Gray; Journal of Classification, 2010, 27(1), pp. 41-53.
"Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models." Robert B. Gramacy and Matthew Alan Taddy; Journal of Statistical Software, 2010, 33(6), pp. 1-48.
"Designing and Analyzing a Circuit Device Experiment Using Treed Gaussian Processes," Herbert Lee, Matthew Taddy, Robert B. Gramacy and Genetha Gray, in A. O'Hagan and M. West: The Oxford Handbook of Applied Bayesian Analysis. Oxford: Oxford University Press, 2010, pp. 823 - 44
"Fast Inference for Statistical Inverse Problems." Matthew A. Taddy, Herbert K. H. Lee and Bruno Sansó.; Inverse Problems, 2009, 25(8).
"Bayesian Guided Pattern Search for Robust Local Optimization." Matthew A. Taddy, Herbert K. H. Lee, Genetha A. Gray and Joshua D. Griffin; Technometrics, 2009, 51(4), pp. 389-401.
Bayesian Nonparametric Analysis of Conditional Distributions and Inference for Poisson Point Processes; Matthew Alan Taddy; Ph.D. Dissertation, University of California, Santa Cruz, 2008.
"A Statistical Framework for the Sensitivity Analysis of Radiative Transfer Models." R. D. Morris, A. Kottas, M. Taddy, R. Furfaro and B. D. Ganapol; IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(12), pp. 4062-74.
"An Analysis of the Uncertainties in Radiative Transfer Models Used in Remote Sensed Data Product Generation," Robin D. Morris, Athanasios Kottas, Matt Taddy, Roberto Furfaro and Barry D. Ganapol, in Nasa Science Technology Conference University of Maryland 2007.
"Resampling for Inverse Problems," Matt Taddy, Herbert K. H. Lee and Bruno Sanso, ASA Proceedings of the Joint Statistical Meetings, Alexandria, VA: American Statistical Association, 2007, pp. 140-46.
"Model-Based Approaches to Nonparametric Bayesian Quantile Regression," Athanasios Kottas, Milovan Krnjajic and Matthew Taddy, ASA Proceedings of the Joint Statistical Meetings, Alexandria, VA: American Statistical Association, 2007, pp. 1137-48.
"Treed Gaussian Processes as a Pattern Search Oracle," Matt Taddy, Genetha Gray, Josh Griffin and Herbie Lee, ASA Proceedings of the Joint Statistical Meetings, Alexandria, VA: American Statistical Association, 2007, pp. 1375-82.
"Enhancing Parallel Pattern Search Optimization with a Gaussian Process Oracle," G. A. Gray, M. Martinez-Canales, M. Taddy, H. K. H. Lee and R. B. Gramacy, Proceedings of the NECDC, 2006
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