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Welcome to David van Dyk's web site photo: dvd

PUBLICATIONS IN REFEREED JOURNALS

  1. van Dyk, D. A. and Kang, H. (2008). Marginal MCMC Methods. Statistica Sinica, under revision. (Preprint Available upon Request.).

  2. Park, T. and van Dyk, D. A. (2008). Partially Collapsed Gibbs Samplers: Illustrations and Applications. Journal of Computational and Graphical Statistics, submitted. (Preprint Available upon Request.).

  3. van Dyk, D. A. and Meng, X. L. (2008). Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book. Statistical Science, submitted. (Download pdf.).

  4. van Dyk, D. A., DeGennaro, S., Stein, N., Jefferys, W. H., and von Hipple, T. (2009). Statistical Analysis of Stellar Evolution. The Annals of Applied Statistics, to appear. (Download pdf.).

  5. DeGennaro, S., von Hipple, T., Jefferys, W. H., Stein, N., van Dyk, D. A., and Jeffery, E. (2008). Inverting Color-Magnitude Diagrams to Access Precise Star Cluster Parameters: A New White Dwarf Age for the Hyades. The Astrophysical Journal, revised. (Preprint Available upon Request.).

  6. Park, T., van Dyk, D. A., and Siemiginowska, A. (2008). Searching for Narrow Emission Lines in X-ray Spectra: Computation and Methods The Astrophysical Journal, 688, 807-825. (Download pdf.).

  7. van Dyk, D. A. and Park, T. (2008). Partially Collapsed Gibbs Samplers: Theory and Methods. Journal of the American Statistical Association, 103 , 790-796. (Download pdf.).

  8. Gelman, A., van Dyk, D. A., Huang, Z., and Boscardin, W. J. (2008). Using redundant parameterizations to fit hierarchical models. The Journal of Computational and Graphical Statistics, 17, 95-122. (Download pdf.).

  9. Park, T., Kashyap, V. L., Siemiginowska, A., van Dyk, D. A., Zezas, A. Heinke, C. and Wargelin, B. J. (2006). Hardness Ratios with Poisson Errors: Modeling and Computations. The Astrophysical Journal, 652, 610-628. (Download pdf.).

  10. van Dyk, D. A., Connors, A., Esch, D. N., Freeman, P., Kang, H., Karovska, M., and Kashyap, V. (2006). Deconvolution in High Energy Astrophysics: Science, Instrumentation, and Methods (with discussion). Bayesian Analysis, 1, 189-236. (Download pdf.).

  11. Imai, K. and van Dyk, D. A. (2005). MNP: R Package for Fitting the Multinomial Probit Models. Journal of Statistical Software, 14, Issue 5. (Download pdf.).

  12. Imai, K. and van Dyk, D. A. (2005). A Bayesian Analysis of the Multinomial Probit Model Using Marginal Augmentation. Journal of Econometrics, 124, 311-334. (Download pdf.).

  13. Imai, K. and van Dyk, D. A. (2004). Causal Inference with General Treatments Regimes: Generalizing the Propensity Score. Revised for the Journal of the American Statistical Association, 99, 854-866. (Download pdf.).

  14. van Dyk, D. A. and Kang, H. (2004). Highly Structured Hierarchical Models for Spectral Analysis in High Energy Astrophysics. Invited paper for special astro-statistics issue of Statistical Science , 19, 275-293. (Download pdf.).

  15. Esch, D. N., Connors, A., Karovska, M., and van Dyk, D. A. (2004). An Image Reconstruction Technique with Error Estimates. The Astrophysical Journal, 610, 1213-1227. (Download pdf.).

  16. Javaras, K. N. and van Dyk, D. A. (2003). Multiple Imputation for Incomplete Data with Semicontinuous Variables. Journal of the American Statistical Association, 98, 703-715. (Download pdf.).

  17. van Dyk, D. A. and Tang, R. (2003). The One-Step-Late PXEM Algorithm. Statistics and Computing, 13, 137-152. (Download pdf.).

  18. Protassov, R., van Dyk, D. A., Connors, A., Kashyap, V. L. and Siemiginowska, A. (2002). Statistics: Handle with Care, Detecting Multiple Model Components with the Likelihood Ratio Test. The Astrophysical Journal, 571, 545-559. (Download pdf.).

  19. van Dyk, D. A., Connors, A., Kashyap, V. L., Siemiginowska, A. (2001). Analysis of Energy Spectra with Low Photon Counts via Bayesian Posterior Simulation. The Astrophysical Journal , 548, 224-243. (Download pdf.).

  20. van Dyk, D. A. and Meng, X. L. (2001). The art of data augmentation (with discussion). Journal of Computational and Graphical Statistics, 10, 1-111, (Download pdf.).

  21. Foully, J. L., van Dyk, D. A. (2000). The PX-EM algorithm for fast stable fitting of Henderson's mixed model. Genetics, Selection Evolution 32, 143-163. (Download pdf.).

  22. van Dyk, D. A. (2000). The nested EM algorithm. Statistica Sinica, 10,, 203-225 . (Download pdf.).

  23. van Dyk, D. A. (2000). Fitting mixed-effects models using efficient EM-type algorithms. The Journal of Computational and Graphical Statistics, 9, 78-98. (Download pdf.).

  24. Meng, X. L., van Dyk, D. A. (1999). Seeking efficient data augmentation schemes via conditional and marginal augmentation. Biometrika, 86 , 301-320, (Download pdf.).

  25. Meng, X. L., van Dyk, D. A. (1998). Fast EM implementations for mixed-effects models. J. R. Statist. Soc., Ser. B., 60, 559-578, (Download pdf.).

  26. Meng, X. L., van Dyk, D. A. (1997). The EM algorithm -- an old folk song sung to a fast new tune. Reading paper in J. R. Statist. Soc., Ser. B, 59, 511-567, (Download pdf.).

  27. van Dyk, D. A., Meng, X. L. (1997). Some findings on the orderings and groupings of conditional maximizations within ECM-type algorithms. The Journal of Computational and Graphical Statistics, 6, 202-223, (Download pdf.).

  28. van Dyk, D. A., Meng X. L., Rubin, D. B. (1995). Maximum likelihood estimation via the ECM algorithm: computing the asymptotic variance. Statistica Sinica 5, 55-75, (Download pdf.).