Free Access
Issue
A&A
Volume 644, December 2020
Article Number A99
Number of page(s) 53
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/201936794
Published online 14 December 2020
  1. Barreiro, R. B., Sanz, J. L., Herranz, D., & Martínez-González, E. 2003, MNRAS, 342, 119 [NASA ADS] [CrossRef] [Google Scholar]
  2. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [Google Scholar]
  3. Bouchaud, J.-P., & Potters, M. 2004, Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management, 2nd edn. (Cambridge: Cambridge University Press) [Google Scholar]
  4. Bourne, N., Dunne, L., Maddox, S. J., et al. 2016, MNRAS, 462, 1714 [NASA ADS] [CrossRef] [Google Scholar]
  5. Box, G., & Tiao, G. C. 1992, Bayesian Inference in Statistical Analisys (New York: John Wiley & Sons, Wiley-Interscience) [CrossRef] [Google Scholar]
  6. Cañameras, R., Nesvadba, N. P. H., Guery, D., et al. 2015, A&A, 581, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Carvalho, P., Rocha, G., Hobson, M. P., & Lasenby, A. 2012, MNRAS, 427, 1384 [NASA ADS] [CrossRef] [Google Scholar]
  8. Casaponsa, B., Barreiro, R. B., Martínez-González, E., et al. 2013, MNRAS, 434, 796 [CrossRef] [Google Scholar]
  9. Chen, X., Chary, R., Pearson, T. J., et al. 2016, MNRAS, 458, 3619 [CrossRef] [Google Scholar]
  10. Clements, D. L., Braglia, F. G., Hyde, A. K., et al. 2014, MNRAS, 439, 1193 [NASA ADS] [CrossRef] [Google Scholar]
  11. Combes, F., Rex, M., Rawle, T. D., et al. 2012, A&A, 538, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Csengeri, T., Urquhart, J. S., Schuller, F., et al. 2014, A&A, 565, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Delabrouille, J., Betoule, M., Melin, J.-B., et al. 2013, A&A, 553, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Egami, E., Rex, M., Rawle, T. D., et al. 2010, A&A, 518, L12 [CrossRef] [EDP Sciences] [Google Scholar]
  15. Eriksen, H. K., Jewell, J. B., Dickinson, C., et al. 2008, ApJ, 676, 10 [NASA ADS] [CrossRef] [Google Scholar]
  16. Feroz, F., & Hobson, M. P. 2008, MNRAS, 384, 449 [NASA ADS] [CrossRef] [Google Scholar]
  17. Foreman-Mackey, D. 2016, JOSS, 1, 24 [Google Scholar]
  18. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  19. Goodman, J., & Weare, J. 2010, Commun. Appl. Math. Comput. Sci., 5, 65 [Google Scholar]
  20. Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [NASA ADS] [CrossRef] [Google Scholar]
  21. Hobson, M. P., Rocha, G., & Savage, R. S. 2009, in Bayesian Methods in Cosmology, eds. M. P. Hobson, A. H. Jaffe, A. R. Liddle, P. Mukherjee, & D. Parkinson (Cambridge: Cambridge University Press), 167 [CrossRef] [Google Scholar]
  22. Jaynes, E. T. 2004, Probability Theory: The Logic of Science (Cambridge: Cambridge University Press) [Google Scholar]
  23. Low, F. J., Beintema, D. A., Gautier, T. N., et al. 1984, ApJ, 278, L19 [NASA ADS] [CrossRef] [Google Scholar]
  24. Men’shchikov, A. 2013, A&A, 560, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Mitra, S., Rocha, G., Górski, K. M., et al. 2011, ApJS, 193, 5 [NASA ADS] [CrossRef] [Google Scholar]
  26. Miville-Deschênes, M.-A., & Lagache, G. 2005, ApJS, 157, 302 [NASA ADS] [CrossRef] [Google Scholar]
  27. Molinari, S., Schisano, E., Faustini, F., et al. 2011, A&A, 530, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Montier, L. A., Pelkonen, V.-M., Juvela, M., Ristorcelli, I., & Marshall, D. J. 2010, A&A, 522, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Nettke, W., Scott, D., Gibb, A. G., et al. 2017, MNRAS, 468, 250 [CrossRef] [Google Scholar]
  30. Planck Collaboration ES 2018, The Legacy Explanatory Supplement https://www.cosmos.esa.int/web/planck/pla (ESA) [Google Scholar]
  31. Planck Collaboration VII. 2011, A&A, 536, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Planck Collaboration XIX. 2011, A&A, 536, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Planck Collaboration IX. 2014, A&A, 571, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Planck Collaboration XI. 2014, A&A, 571, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Planck Collaboration XXVIII. 2014, A&A, 571, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Planck Collaboration I. 2016, A&A, 594, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Planck Collaboration VII. 2016, A&A, 594, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Planck Collaboration VIII. 2016, A&A, 594, A8 [Google Scholar]
  39. Planck Collaboration XII. 2016, A&A, 594, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Planck Collaboration XXVI. 2016, A&A, 594, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Planck Collaboration XXVII. 2016, A&A, 594, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Planck Collaboration XXVIII. 2016, A&A, 594, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Planck Collaboration I. 2020, A&A, 641, A1 [CrossRef] [EDP Sciences] [Google Scholar]
  44. Planck Collaboration Int. XXXIX. 2016, A&A, 596, A100 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Planck Collaboration Int. XLVIII. 2016, A&A, 596, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Planck Collaboration Int. LIV. 2018, A&A, 619, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Riley, K., Hobson, M., & Bence, S. 2006, Mathematical Methods for Physics and Engineering: A Comprehensive Guide, 3rd edn. (Cambridge: Cambridge University Press) [CrossRef] [Google Scholar]
  48. Robert, C., & Casella, G. 2010, Introducing Monte Carlo Methods with R, Use R! (New York: Springer) [CrossRef] [Google Scholar]
  49. Schäfer, B. M., Pfrommer, C., Hell, R. M., & Bartelmann, M. 2006, MNRAS, 370, 1713 [NASA ADS] [CrossRef] [Google Scholar]
  50. Stetson, P. B. 1987, PASP, 99, 191 [Google Scholar]
  51. Tegmark, M., & de Oliveira-Costa, A. 1998, ApJ, 500, L83 [NASA ADS] [CrossRef] [Google Scholar]
  52. Trees, H. L. V. 2001, Detection, Estimation, and Modulation Theory. Part I (New York: John Wiley & Sons, Inc) [Google Scholar]
  53. Valiante, E., Smith, M. W. L., Eales, S., et al. 2016, MNRAS, 462, 3146 [NASA ADS] [CrossRef] [Google Scholar]
  54. Williams, J. P., Blitz, L., & Stark, A. A. 1995, ApJ, 451, 252 [NASA ADS] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.