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PUBLICATIONS IN REFEREED JOURNALS

  1. Algeri, S. and van Dyk, D. A. (2017). Testing One Hypothesis Multiple times. Journal of the American Statistical Association, submitted. (Download from arXiv.org.)

  2. Hill, R., Trotta, R., Ali-Khan, S., Jiao, X., Parker, W., Paulus, M., Shariff, H., van Dyk, D. A., and Lucky, L. B. (2017). Projected Distances to Host Galaxy Reduce SNIa Dispersion. Monthly Notices of the Royal Astronomical Society, revision requested. (Download from arXiv.org.)

  3. Tak, H., Meng, X.-L., and van Dyk, D. A. (2017). A Repulsive-Attractive Metropolis Algorithm for Multimodality. Journal of Computational and Graphical Statistics, revision requested. (Download from arXiv.org.)

  4. Stampoulis, V., van Dyk, D. A., Kashyap, V. L., and Zezas, A. (2017). Multidimensional Data Driven Classification of Active Galaxies. Monthly Notices of the Royal Astronomical Society, revision requested. (Available on request.)

  5. Jiao, X. and van Dyk, D. A. (2017). A Corrected and More Efficient Suite of MCMC Samplers for the Multinomal Probit Model. Journal of Econometrics, revised. (Download from arXiv.org.)

  6. Tak, H., Mandel, K., van Dyk, D. A. Kashyap, V. L., Meng, X.-L., and Siemiginowska, A. (2017). Bayesian Estimates of Astronomical Time Delays Between Gravitationally Lensed Stochastic Light Curves. Annals of Applied Statistics, to appear. (Download from arXiv.org.)

  7. Si, S., van Dyk, D. A., von Hipple, T., Robinson, E., Webster, A., and Stenning, D. (2017). A Hierarchical Model for the Ages of Galactic Halo White Dwarfs. Monthly Notices of the Royal Astronomical Society, 468, 4374--4388. (DOI: 10.1093/mnras/stx765). (Download from arXiv.org.)

  8. Wagner-Kaiser, R., Sarajedini, A., von Hippel, T., Stenning, D. C., van Dyk, D. A., Jeffery, E., Robinson, E., Stein, N., Anderson, J., and Jefferys, W. H. (2017). The ACS Survey of Galactic Globular Clusters XIV: Bayesian Single-Population Analysis of 69 Globular Clusters. Monthly Notices of the Royal Astronomical Society, 468, 1038--1055. (DOI: 10.1093/mnras/stx544). (Download from arXiv.org.)

  9. McKeough, K., Siemiginowska, A., Cheung, C. C., Stawarz, L., Kashyap, V. L., Stein, N., Stampoulis, V., van Dyk, D. A., Wardle, J. F. C., Lee, N. P., Harris, D. E., Schwartz, D. A., Donato, D., Maraschi, L., and Tavecchio, F. (2016). Detecting Relativistic X-ray Jets in High-Redshift Quasars. The Astrophysical Journal, 833, 123 (21 pages). (DOI: 10.3847/1538-4357/833/1/123). (Download from arXiv.org.)

  10. Algeri, S., van Dyk, D. A., Conrad, J., and Anderson, B. (2016). On Methods for Correcting for the Look-Elsewhere Effect in Searches for New Physics. Journal of Instrumentation, 11, P12010. (DOI: 10.1088/1748-0221/11/12/P12010). (Download from arXiv.org.)

  11. Wagner-Kaiser, R., Stenning, D., Sarajedini, A., von Hippel, T., van Dyk, D. A., Robinson, E., Stein, N. M., and Jefferys, W. H. (2016). Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters III: Analysis of 30 Clusters. Monthly Notices of the Royal Astronomical Society, 463, 3768--3782. (DOI: 10.1093/mnras/stw2247). (Download from arXiv.org.)

  12. Shariff, H., Dhawan, S., Jiao, X., Leibundgut, B., Trotta, R., and van Dyk, D. A. (2016). Standardizing Type Ia Supernovae Using Near Infrared Rebrightening Timing. Monthly Notices of the Royal Astronomical Society, 463, 4311--4316. (DOI: 10.1093/mnras/stw2278). (Download from arXiv.org.)

  13. Wong, R. K. W., Kashyap, V. L., Lee, T. C. M., and van Dyk, D. A. (2016). Detecting Abrupt Changes in the Spectra of High-Energy Astrophysical Sources. Annals of Applied Statistics, 10, 1107--1134. (DOI: 10.1214/16-AOAS933). (Download from arXiv.org.)

  14. Jeffery, E. J., von Hippel, T., van Dyk, D. A., Stein, N. M., Robinson, E., and Jefferys, W. H. (2016). A Bayesian Analysis of the Ages of Four Open Clusters. The Astrophysical Journal, 828, 79 (13 pages). (DOI: 10.3847/0004-637X/828/2/79). (Download from arXiv.org.)

  15. Stenning, D., Wagner-Kaiser, R., Robinson, E., van Dyk, D. A., von Hippel, T., Sarajedini, A., and Stein, N. M. (2016). Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters I: Statistical and Computational Methods. The Astrophysical Journal, 826, 41 (16 pages). (DOI: 10.3847/0004-637X/826/1/41). (Download from arXiv.org.)

  16. Stein, N. M., van Dyk, D. A., and Kashyap, V. L. (2016). Preprocessing Solar Images while Preserving their Latent Structure. Statistics and Its Interface, 826, 535--551. (DOI: 10.4310/SII.2016.v9.n4.a12). (Download from arXiv.org.)

  17. Shariff, H., Jiao, X., Trotta, R., and van Dyk, D. A. (2016). BAHAMAS: New SNIa Analysis Reveals Inconsistencies with Standard Cosmology. The Astrophysical Journal, 827, 1 (25 pages). (DOI: 10.3847/0004-637X/827/1/1). (Download from arXiv.org.)

  18. Wagner-Kaiser, R., Stenning, D., Robinson, E., von Hippel, T., Sarajedini, A., van Dyk, D. A., Stein, N. M., and Jefferys, W.H. (2016). Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters II: NGC 5024, NGC 5272, and NGC 6352. The Astrophysical Journal, 826, 42 (21 pages). (DOI: 10.3847/0004-637X/826/1/42). (Download from arXiv.org.)

  19. Algeri, S., Conrad, J., and van Dyk, D. A. (2016). Comparing Non-Nested Models in the Search for New Physics. Monthly Notices of the Royal Astronomical Society: Letters, 458 (1), L84--L88. (DOI: 10.1093/mnrasl/slw025). (Download from arXiv.org.)

  20. Stein, N. M., van Dyk, D. A., Kashyap, V. L., and Siemiginowska, A. (2015). Detecting Unspecified Structure in Low-Count Images. The Astrophysical Journal, 813, 66 (15 pages). (DOI:10.1088/0004-637X/813/1/66). (Download pdf.)

  21. Jones, D. E., Kashyap, V. L., and van Dyk, D. A. (2015). Disentangling Overlapping Astronomical Sources using Spatial and Spectral Information. The Astrophysical Journal, 808, 137 (24 pages). (DOI: 10.1088/0004-637X/808/2/137). (Download pdf.)

  22. Liao, K., Treu, T., Marshall, P., Fassnacht, C. D., Rumbaugh, N., Dobler, G., Aghamousa, A., Bonvin, V., Courbin, F., Hojjati, A., Jackson, N., Kashyap, V., Kumar, S. R., Linder, E., Mandel, K., Meng, X.-L., Meylan, G., Moustakas, L. A., Prabhu, T. P., Romero-Wolf, A., Shafieloo, A., Siemiginowska, A., Stalin, C. S., Tak, H., Tewes, M., and van Dyk, D. A. (2015). Strong Lens Time Delay Challenge: II. Results of TDC1. The Astrophysical Journal, 800, 11 (23pp). (DOI: 10.1088/0004-637X/800/1/11). (Download pdf.)

  23. van Dyk, D. A. and Jiao, X. (2015). Metropolis Hastings within Partially Collapsed Gibbs Samplers. Journal of Computational and Graphical Statistics, 24, 301–327. (DOI: 0.1080/10618600.2014.930041). (Download pdf.)

  24. Xu, J., van Dyk, D. A., Kashyap, V. L., Siemiginowska, A., Connors, A., Drake, J. J., Meng, X. L., Ratzlaff, P., and Yu, Y. (2014). A Fully Bayesian Method to Jointly Fit Calibration and X-ray Spectral Models. The Astrophysical Journal, 794, 97 (21pp). (DOI: 10.1088/0004-637X/794/2/97). (Download pdf.)

  25. van Dyk, D. A. (2014). The Role of Statistics in the Discovery of a Higgs Boson. Annual Review of Statistics and Its Application, 1, 41--59. (DOI: 10.1146/annurev-statistics-062713-085841). (Download pdf.)

  26. O.Malley, E. M., von Hippel, T., and van Dyk, D. A. (2013). A Bayesian Approach to Deriving Ages of Individual Field White Dwarfs. The Astrophysical Journal, 775, 1 (11pp). (DOI: 10.1088/0004-637X/775/1/1). (Download pdf.)

  27. Stenning, D. C., Lee, T. C. M, van Dyk, D. A., Kashyap, V. L., Sandell, J., and Young, C. A. (2013). Morphological Feature Extraction for Statistical Learning with Applications to Solar Images Data. Statistical Analysis and Data Mining, 6, 329--345. (DOI: 10.1002/sam.11200). (Download pdf.)

  28. Stein, N. M., van Dyk, D. A., von Hippel, T. , DeGennaro, S., Jeffrey, E. J., and Jefferys, W. H. (2013). Combining Computer Models to Account for Mass Loss in Stellar Evolution. Statistical Analysis and Data Mining, 6, 34--52. (DOI: 10.1002/sam.11172). (Download pdf.)

  29. Olson, C. B., Kim, J. S., Scarcella, R., Kramer, J., Pearson, M., van Dyk, D. A., Collins, P., and Land, R. E. (2012). Enhancing the Interpretive Reading and Analytical Writing of Mainstreamed English Learners in Secondary School: Results From a Randomized Field Trial Using a Cognitive Strategies Approach. American Educational Research Journal, 49, 323-355. (Download pdf.)

  30. Yu, Y., Kashyap, V. L, van Dyk, D. A., and Young, A. (2012). A Bayesian Analysis of the Correlations Among Sunspot Cycles. Solar Physics, under revision. (Download from arXiv.org.) (Download published version.)

  31. Lee, H., Kashyap, V. L., van Dyk, D. A., Connors, A., Drake, J. J., Izem, R., Meng, X. L., Min, S., Park, T., Ratzlaff, P., Siemiginowska, A., and Zezas, A. (2011). Accounting for Calibration Uncertainties in X-ray Analysis: Effective Areas in Spectral Fitting. The Astrophysical Journal, 731, 126-144. (Download pdf.)

  32. Jeffery, E., von Hipple, T., DeGennaro, S., van Dyk, D. A., Stein, N., and Jefferys, W. H. (2011). The White Dwarf Age of NGC 2477. Astrophysical Journal, 730, 35-44. (Download pdf.)

  33. Kim, J., Olson, C., Kramer, J., Pearson, M., van Dyk, D. A., Collins, P., Land, R., Scarcella, R. (2011). A Randomized Experiment of a Cognitive Strategies Approach to Text-Based Analytical Writing for Mainstreamed Latino English Language Learners in Grades 6-12. Journal of Research on Educational Effectiveness, 4, 231-263. (Download pdf.)

  34. Kashyap, V. L., van Dyk, D. A., Connors, A., Freeman, P. E., Siemiginowska, A., Xu, J., and Zezas, A. (2010). On Computing Upper Limits to Source Intensities. Astrophysical Journal, 719, 900-914. (Download pdf.)

  35. van Dyk, D. A. and Meng, X. L. (2010). Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book. Statistical Science, in press. (Download pdf.)

  36. van Dyk, D. A. (2010). Marginal MCMC Methods. Statistica Sinica, 20, 1423-1454. (Download pdf.)

  37. Park, T. and van Dyk, D. A. (2009). Partially Collapsed Gibbs Samplers: Illustrations and Applications. Journal of Computational and Graphical Statistics, 18, 283-305. (Download pdf.)

  38. 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, 3 117-143. (Download pdf.) (Download supplemental materials.)

  39. 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, 696, 12-23. (Download pdf.)

  40. 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.)

  41. 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.)

  42. 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.)

  43. 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.)

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

  45. 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.)

  46. 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.)

  47. 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.)

  48. 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.)

  49. 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.)

  50. 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.)

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

  52. 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.)

  53. 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.)

  54. 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.)

  55. 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.)

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

  57. 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.)

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

  59. 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.)

  60. 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.)

  61. 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.)

  62. 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.)