Jeon, M., Kaufman, C., and Rabe-Hesketh, S. (2013) “Monte Carlo Local Likelihood for Estimating Generalized Linear Mixed Models.” Under revision. [pdf]

Lee, W., Kaufman, C., and Thomas, R. (2013) “Efficient Bayesian Inference for Extrema Location.” Submitted. [pdf]

Wu, R. and Kaufman, C. (2013) “Comparing Non-informative Priors for Estimation and Prediction in Spatial Models.” Submitted. [pdf]

Paciorek, C., Lipshitz, B., Zhuo, W., Prabhat, Kaufman, C., and Thomas, R. (2013) “Parallelizing Gaussian Process Calculations in R.” Submitted. [pdf]

Kaufman, C. and Shaby, B. (2013) “The Role of the Range Parameter for Estimation and Prediction in Geostatistics.” Biometrika, 100: 473–484. [journal link]

Kaufman, C., Bingham, D., Habib, S., Heitmann, K., and Frieman, J. (2011) “Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions, With An Application to Cosmology.” Annals of Applied Statistics, 5: 2470–2492. [journal link]

Kaufman, C. and Sain, S. (2010) "Bayesian Functional ANOVA Modeling Using Gaussian Process Prior Distributions." Bayesian Analysis, 5: 123–150. [pdf]

Kaufman, C., Schervish, M., and Nychka, D. (2008) "Covariance Tapering for Likelihood-Based Estimation in Large Spatial Datasets." Journal of the American Statistical Association, 103: 1556–1569. [pdf]

Kaufman, C., Ventura, V., and Kass, R. (2005) "Spline-Based Nonparametric Regression for Periodic Functions and its Application to Directional Tuning of Neurons." Statistics in Medicine, 24: 2255–2265. [pdf]

Other Publications

Lee, W. and Kaufman, C. (2011), Comment on “An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The SPDE Approach” by Lindgren, F., Rue, H., and Lindstrom, J., Journal of the Royal Statistical Society, Series B, 73: 57–58.

Kaufman, C. (2011) Review of The Oxford Handbook of Applied Bayesian Analysis by O’Hagan, A., and West, M., Journal of the American Statistical Association, 106: 1223.

Kaufman, C. and Ventura, V. (2006) Controlling a Neuroprosthetic Arm: Real Time Estimation and Prediction. Technical Report 838, Department of Statistics, Carnegie Mellon University.

Recent Invited Lectures

I am currently revising this section. In the meantime, please see my CV on the main page for a full list of talks.

Last updated June, 2013.