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International CHASC Astro-Statistics Collaboration
This page lists resources of specific interest to astronomers.
For detailed descriptions and reports of C-BAS/ICHASC activities, see www2.imperial.ac.uk/~dvandyk/astrostat.php
Connors, A., Stein, N.M., van Dyk, D., Kashyap, V., & Siemiginowska, A., ADASS XX, ASPC (Eds. Ian N. Evans, Alberto Accomazzi, Douglas J. Mink, and Arnold H. Rots), v442, p463 (2011ASPC..442..463C)
Connors, A. & van Dyk, D.A., 2007, SCMA IV, ASPC (Eds. G.J.Babu and E.D.Feigelson), v371, p101 (2007ASPC..371..101C)
Esch, D.N., Connors, A., Karovska, M., & van Dyk, D.A., 2004, ApJ, 610, 1213
Stein, N.M., van Dyk, D.A., & Kashyap, V.L., Preprocessing Solar Images while Preserving their Latent Structure, 2016, in Statistical and Computational Theory and Methodology for Big Data, Statistics and Its Interface, in press
Wong, R.K.W., Kashyap, V.L., Lee, T.C.M., & van Dyk, D.A., Detecting Abrupt Changes in the Spectra of High-Energy Astrophysical Sources, 2016, Annals of Applied Statistics, in press
Xu, J., van Dyk, D.A., Kashyap, V.L., Siemiginowska, A., Connors, A., Drake, J., Meng, X.-L., Ratzlaff, P., & Yu, Y., A Fully Bayesian Method to Simultaneously Fit Calibration Products and Model Parameters in X-ray Spectral Analyses, 2014, ApJ, 794, 97
Stenning, D.C., van Dyk, D.A., Yu, Y., & Kashyap, V., A Bayesian Analysis of the Solar Cycle Using Multiple Proxy Variables,, 2014, in Current Trends in Bayesian Methodology with Applications, Editors: S. Upadhyay, D.K. Dey, U. Singh and A. Loganathan, Chapman & Hall/CRC Press, 2014. To appear.
Kashyap, V.L., pyBLoCXS: Strategy to deal with known errors in effective areas and Demo, 2014, IACHEC 2014, 12 May 2014
Baines, P., Udaltsova, I., Zezas, A., & Kashyap, V., log(N)-log(S): A Measuring Stick for the Universe
Blocker, A., et al., Semi-Parametric robust event detection for massive time-domain databases
Kashyap, V., et al., Systematic Errors in High-Energy Astrophysics
Kelly, B., Measurement error models in astronomy
Lee, T., Stenning, D., van Dyk, D., Young, A., & Kashyap, V., Automatic Detection and Classification of Sunspot Images
Stein, N., von Hippel, T., van Dyk, D., DeGennaro, S., Jeffery, E., & Jefferys, B., Bayesian flux reconstruction in one and two bands
Xu, J., et al., Using pyBLoCXS for a Fully Bayesian Analysis of Calibration Uncertainty in High Energy Spectral Analysis
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., & Zezas, A., Accounting for Calibration Uncertainties in X-ray Analysis: Effective Areas in Spectral Fitting 2011, ApJ, 731, 126
Connors, A., van Dyk, D., Stein, N.M., Kashyap, V., & Siemiginowska, A., LIRA - the Low-count Image Restoration and Analysis Package: A Teaching Version via `R', 2010, ADASS XX, 7-11 Nov, Boston, MA
Siemiginowska, A., Kashyap, V., Refsdal, B., van Dyk, D., Connors, A., Park, T., et al., pyblocxs: Bayesian Low-Counts X-ray Spectral Analysis in Sherpa, 2010, ADASS XX, 7-11 Nov, Boston, MA
Kashyap, V.L., van Dyk, D.A., Connors, A., Freeman, P.E., Siemiginowska, A., Xu, J., & Zezas, A., On Computing Upper Limits to Source Intensities, 2010, ApJ, 719, 900
Kashyap, V., Lee, H., Siemiginowska, A., van Dyk, D., Drake, J., Connors, A., Zezas, A., Park, T., Min, S., McDowell, J., Rots, A.,
Ratzlaff, P., Kramer, J., Burke, D., & Refsdal, B., 2010, IACHEC, Woods Hole
Drake, J., Ratzlaff, P., Kashyap, V., Jerius, D., Grant, C., Edgar, D., Marshall, H., Vikhlinin, A., et al., Monte Carlo Grand Prix: Parameter Estimation Including Calibration Uncertainties, 2010, IACHEC, Woods Hole
Blocker, A.W., Protopapas, P., & Alcock, C.R., A Bayesian Approach to the Analysis of Time Symmetry in Light Curves: Reconsidering Scorpius X-1 Occultations, 2009, ApJ, 701, 1742
Lee, H., Kashyap, V., Drake, J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., & Izem, R., 2009, A Semiparametric Approach to Incorporating Systematic Uncertainties into Bayesian X-Ray Spectral Fitting, at the Workshop o n Semiparametric Methodology, Jan. 8-10, 2009, U of Florida, FL
Kashyap, V., Lee, H., Siemiginowska, A., MacDowell, J., Rots, A., Drake, J., Ratzlaff, P., Zezas, A., Izem, R., Connors,
A., van Dyk, D., \& Park, T., How to handle calibration uncertainties in high-energy Astrophysics, 2008, SPIE 7016, 7016OP
Lee, H., Kashyap, V., Drake, J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., Izem, R., Incorporating Effective Area Uncertainties Into Spectral Fitting, AAS-HEAD, #10, #41.15
Kashyap, V., van Dyk, D., Connors, A., Freeman, P., Siemiginowska, A., Zezas, A., & the SAMSI-SaFeDe Collaboration, What Is An Upper Limit?, AAS-HEAD, #10, #03.02
Kashyap, V., Lee, H., Drake, J.J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., & Izem, R., 2007, Incorporating Effective Area Uncertainties in Spectral Fitting, Chandra Calibration Workshop, #117, 25 Oct 2007, Huntsville, AL
Drake, J.J., Ratzlaff, P., Kashyap, V., Edgar, R., Izem, R., Jerius, D., Marshall, H., Siemiginowska, A., & Vikhlinin, A., 2007, Monte Carlo methods for including correlated systematic calibration uncertainties in astrophysical analysis: Chandra ACIS, Chandra Calibration Workshop, #109, 25 Oct 2007, Huntsville, AL
Connors, A. & van Dyk, D.A., 2007, How to Win With Non-Gaussian Data: Poisson Goodness-of-Fit, in Statistical Challenges in Modern Astronomy IV (Eds. G.J.Babu and E.D.Feigelson), Astronomical Society of the Pacific Conference Series, San Francisco, in press
Park, T., Kashyap, V.L., Siemiginowska, A., van Dyk, D., Zezas, A., Heinke, C., & Wargelin, B.J., 2006, Bayesian Estimation of Hardness Ratios, ApJ, 652, 610
van Dyk, D., Park, T., & Siemiginowska, A., 2007, Fitting narrow spectral lines in high-energy astrophysics using incompatible Gibbs samplers, in Statistical Challenges in Modern Astronomy IV (Eds. G.J.Babu and E.D.Feigelson), Astronomical Society of the Pacific Conference Series, San Francisco, in press
Drake, J.J., Ratzlaff, P., Kashyap, V., Edgar, R., Izem, R., Jerius, D., Siemiginowska, A., & Vikhlinin, A., 2006, Monte Carlo Processes for Including Chandra Instrument Response Uncertainties in Parameter Estimation Studies, Proc. SPIE, v6270, p49
van Dyk, D.A., 2006, at Statistical Inference in High Energy Physics and Astrophysics, Banff International Research Station Workshop, Jul 15-20, 2006, Banff, BC
Drake, J., Ratzlaff, P., Edgar, R., Izem, R., Jerius, D., Kashyap, V., & Siemiginowska, A., 2005, in Proc. of 4th Chandra Calibration Workshop, Oct 31-Nov 1, 2005, Cambridge, MA
This material is based upon work
partially supported by NASA AISR grant NCC2-1206, and
National Science Foundation under Grant Nos. DSM 01-04129,
04-38240, and 04-06085 and by NASA Contract NAS8-39073 (CXC).
Any opinions, findings, and conclusions or recommendations
expressed in this material are those of the author(s) and
do not necessarily reflect the views of the National Science
Foundation.
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