Hugh Chipman - Publications

Google Scholar page









NOTE: My Google Scholar page provides a more accurate and up-to-date listing of my papers and preprints. Please visit that page for a full listing. If you have difficulty accessing that page, please contact me.







Below are most of my papers written before 2015.






Most papers are available as either pdf or postscript files. They're in chronological order, with the most recent first. For links to my co-authors, see the list on my background page.
 

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(arXiv link)

``A Continuous-time Stochastic Block Model for Basketball Networks'', Lu Xin, Mu Zhu, Hugh Chipman, preprint on arXiv

(arXiv link)

``Monotone Function Estimation for Computer Experiments'', Shirin Golchi, Derek R. Bingham, Hugh Chipman, David A. Campbell, to appear, SIAM/ASA Journal on Uncertainty Quantification (JUQ)

(pdf)

``Bayes and Big Data: The Consensus Monte Carlo Algorithm'' Steven L. Scott, Alexander W. Blocker, Fernando V. Bonassi, Hugh A. Chipman, Edward I. George and Robert E. McCulloch

(link)

(2014) "BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities", by Shafiei, Dunn, Chipman, Gu and Bielawski

(link)

(2014) "A new Bayesian ensemble of trees approach for land cover classification of satellite imagery", Agarwal, Ranjan and Chipman, Canadian Journal of Remote Sensing, 39, 507-520

(link to arXiv) (link to published version)

(2013),Matthew T. Pratola, Hugh A. Chipman, James R. Gattiker, David M. Higdon, Robert McCulloch, William N. Rust "Parallel Bayesian Additive Regression Trees" 

(link to arXiv
published version)

(2012), Hugh Chipman, Pritam Ranjan, Weiwei Wang "Sequential Design for Computer Experiments with a Flexible Bayesian Additive Model", Chipman, Ranjan and Wang, Canadian Journal of Statistics, 40, 663-678.

(pdf)

Franey, M., Ranjan, P. and Chipman, H (2011),   "Branch and bound algorithms for maximizing expected improvement functions"  JSPI, 141, 42-55

(pdf)

Chipman, H (2010),   "Recursive partitioning (an overview article in The Encyclopedia of Statistical Sciences)

(pdf)

Chipman, H., MacKay, R. J., and Steiner, S. (2010),   Discussion of Nonparametric Profile Monitoring by Mixed Effects Modeling by Qiu, Zou and Wang""  Technometrics, 52, 280--283

(pdf) | (link)

Shafiei, M. and Chipman, H (2010),   Mixed-Membership Stochastic Block-Models for Transactional Networks;  Proceedings of the International Conference on Data Mining, December 2010

Extended version appears on arXiv, see "link" on left.

(link)

Chipman, HA, George, EI, Lemp, J and McCulloch, RE (2010),   "BART: Bayesian fleixble modelling of trip durations"  Transportation Research B, 44, 686-698.

(pdf)

Chipman, HA, George, EI, and McCulloch, RE (2010),   "BART: Bayesian Additive Regression Trees"  Annals of Applied Statistics, 4, 266-298.

(pdf)

Chipman, HA, George, EI, and McCulloch, RE (2009),   "Comment on A Stochastic Partitioning Method to Associate High-dimensional Responses and Covariates" by Monni and Tadesse, Bayesian Analysis, 4, 437--438

(pdf)

Wu LY, Chipman HA, Bull SB, Briollais L, Wang K. (2009), "A Bayesian segmentation approach to ascertain copy number variations at the population level", Bioinformatics, 25, 1669-79.

(pdf) H. Chipman "NSERC Discovery Grants: Hints and Recent Changes", to appear in SSC Liaison.
(link) C. Bouveyron and H. Chipman, Visualization and classification of graph-structured data : the case of the Enron dataset, 20th International Joint Conference on Neural Networks, pp. 1506-1511, Orlando, Florida, 2007.
(pdf) | (abstract) Su, Chipman, and Zhu (2008) "On the underestimation of model uncertainty by Bayesian K-nearest neighbors"
(pdf) Chipman, George and McCulloch "Bayesian Ensemble Learning", NIPS 2006.  (A shorter version of the BART paper below, with an extensive comparison with other learning techniques)
(pdf) Yan, Y, Chipman, H, and Welch, W (2006) "Harvesting Classification Trees for Drug Discovery"

(pdf)

Chipman, H., and Tibshirani, R. (2006) "Hybrid Hierarchical Clustering with Applications to Microarray Data", Biostatistics, 7, 268-285.  (April 3/06 version posted includes reformatting and inclusion of an accidentally omitted reference).

Chipman, H. A. and Gu, H (2005) ``Interpretable Dimension Reduction'' , Journal of Applied Statistics, 32, 969-987. (Note: publishers have requested that I keep track of the number of copies distributed.  Please email me if you want a copy of this paper).

(pdf)

Zhu, M. and Chipman, H. A. (2005). "Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection"

(pdf)

Zhu, M., Su, W., and Chipman, H. A. (2005). "LAGO: A computationally efficient approach for statistical detection", Technometrics, 48, 193-205.

(pdf)

Van Horebeek, J. and Chipman, H. (2005) "Context Sensitive Regression Models with Binary Predictors"

(pdf)

Wu, L. and Chipman, H. (2003) "Bayesian Model-Assisted PRIM Algorithm"

(pdf)

Chipman, H. (2003) "An overview of the use of Bayesian priors in analysis of screening experiments" [Revised May 6, 2004] (A revised version appeared as Chipman, H. (2006) ``Prior Distributions for Bayesian Analysis of Screening Experiments'', Chapter in Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics, A. Dean and S.M.Lewis, Editors, 235-267.

(book overview)

Chipman, H., Hastie, T, and Tibshirani, R. (2003) "Clustering Microarray Data" Statistical Analysis of Gene Expression Microarray Data, Terry Speed, Editor, Chapman and Hall, CRC press.

(pdf)

Chipman, H., George, E. and McCulloch, R. (2003) "Bayesian Treed Generalized Linear Models", Bayesian Statistics 7, JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, Eds., Clarendon Press, Oxford, 85-104 (invited paper with discussion).

(pdf)

Bingham, D. R. and Chipman, H. A. (2002) ``Optimal Designs for Model Selection''. A revised version of this paper appeared as Bingham and Chipman (2007) "Incorporating Prior Information in Optimal Design for Model Selection", Technometrics 49, 155-163. doi.org/10.1198/004017007000000038

(pdf)

Moe, Wendy W., Hugh Chipman, Edward I. George, and Robert E. McCulloch (2002), "A Bayesian Treed Model of Online Purchasing Behavior Using In-Store Navigational Clickstream."

(ps)

Marcia Wang, Hugh Chipman, and William Welch (2002) ``"Mining Nuggets of Activity in High Dimensional Space from High Throughput Screening Data'',

(pdf)

David R. Bellhouse, Hugh A. Chipman and James E. Stafford (2001) ``Smoothing and additive models for survey data''.

(pdf)

Chipman, H. A., George, E.I. and McCulloch, R.E. (2002) ``Discussion of `Spline Adaptation in Extended Linear Models', by Hansen and Kooperberg. (ps.gz | pdf) Statistical Science, 17, 20-21.

(pdf)

Chipman, H. A., George, E.I. and McCulloch, R.E. (2001) ``Discussion of `Recognition of Faces versus Greebles: A Case Study in Model Selection', by Viele, Kass, Tarr, Behrmann and Gauthier'', Case Studies in Bayesian Statistics, Volume 6 , C Gatsonis, RE Kass, A Carriquiry, A Gelman, D Higdon, DK Pauler, I Verdinelli, Eds., Springer-Verlag, New York, NY, 124-129.

(pdf)

Chipman, H. A., George, E.I. and McCulloch, R.E. (2001) ``The Practical Implementation of Bayesian Model Selection'', to appear in the IMS monograph Model Selection.

(pdf)
( Full version pdf)

Chipman, H. A. and Gu, H. (2001) ``Discussion of `Flexible regression modeling with adaptive logistic basis functions', by P. M. Hooper'', Canadian Journal of Statistics, 29, 370--374.

(pdf)

Chipman, H., George, E. and McCulloch, R. (2002) "Bayesian Treed Models", Machine Learning, 48, 299-320.

(pdf)

Chipman, H. A., George, E. I. and McCulloch, R. E. (2001) ``Managing Multiple Models'', Artificial Intelligence and Statistics 2001, Tommi Jaakkola, Thomas Richardson, Eds. , 11--18.

(ps)

Chipman, H., George, E., and McCulloch, R. (2000) "Hierarchical Priors for Bayesian CART Shrinkage", Statistics and Computing, 10, 17-24.

(pdf)

Chipman, H., George, E. and McCulloch, R. (1998) "Extracting Representative Trees from a Forest", Technical report.

(ps)

Abraham, B., Chipman, H., and Vijayan, K. (1999) "Some Risks in the Construction and Analysis of Supersaturated Designs", Technometrics, 41, 135--141.

(ps)

Chipman, H. A. and Wolfson, L. J. (1999) "Prior Elicitation in the Wavelet Domain", in Bayesian Inference in Wavelet-Based Models, Peter Muller and Brani Vidakovic, Eds, 83--94.

(ps)

Chipman, H., George, E., and McCulloch, R. (1998) ``Bayesian CART Model Search (with discussion)'', Journal of the American Statistical Association, 93, 935--960.

(ps).

Chipman, H., (1998) ``Handling Uncertainty in Analysis of Robust Design Experiments'', Journal of Quality Technology , 30, 11--17.

(ps)

Chipman, H. (1998) "Fast Model Search for Designed Experiments", in Quality Improvement Through Statistical Methods B. Abraham, Ed. , Birkhauser.

(ps).

Chipman, H., Kolaczyk, E. and McCulloch, R. (1997), ``Adaptive Bayesian Wavelet Shrinkage'', Journal of the American Statistical Association , 92, 1413--1421.

(pdf).

Chipman, H., Hamada, M. and Wu, C. F. J., (1997) ``A Bayesian Variable Selection Approach for Analyzing Designed Experiments with Complex Aliasing'', Technometrics , 39, 372--381. (see above reference on fast model search for an improvement). This work also forms part of a chapter of the book Experiments: Planning, Analysis and Parameter Design Optimization by Wu and Hamada.

(ps)

Chipman, H. A. and Hamada, M. S. (1996), ``Factor-based or Effect-based Modeling? Implications for Design'', (Discussion of the paper ``Follow-up Designs to Resolve Confounding in Multifactor Experiments'', by R. D. Meyer, D. M. Steinberg, and G. E. P. Box), Technometrics , 38, 317--320.

(ps)

Chipman, H. (1996), ``Bayesian Variable Selection with Related Predictors'', Canadian Journal of Statistics , 24, 17--36.

(ps)

Chipman, H. and Hamada M. (1996), ``Bayesian Analysis of Ordered Categorical Data from Industrial Experiments'', Technometrics , 38, 1--10. This work also forms part of a chapter of the book Experiments: Planning, Analysis and Parameter Design Optimization by Wu and Hamada.

(ps)

Chipman, H. and Welch, W. (1996) ``D-optimal Design for Generalized Linear Models'', unpublished manuscript.

(abstract)
(ps.gz)

Chipman, H. (1994),"Bayesian Regression Methods for Ordered Categorical Data", Doctoral Thesis, Department of Statistics and Actuarial Science, University of Waterloo.