EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 663 (July 2022) A&A, 663 (2022) A14 References
Free Access
Issue
A&A
Volume 663, July 2022
Article Number A14
Number of page(s) 24
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202140543
Published online 04 July 2022
  1. Anglada-Escudé, G., & Tuomi, M. 2012, A&A, 548, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Baluev, R.V. 2008, MNRAS, 385, 1279 [NASA ADS] [CrossRef] [Google Scholar]
  3. Baluev, R.V. 2009, MNRAS, 393, 969 [NASA ADS] [CrossRef] [Google Scholar]
  4. Baluev, R.V. 2013a, MNRAS, 431, 1167 [NASA ADS] [CrossRef] [Google Scholar]
  5. Baluev, R.V. 2013b, MNRAS, 436, 807 [NASA ADS] [CrossRef] [Google Scholar]
  6. Baluev, R.V. 2015, MNRAS, 446, 1478 [NASA ADS] [CrossRef] [Google Scholar]
  7. Barbieri, M.M., & Berger, J.O. 2004, Ann. Stat., 32, 870 [CrossRef] [Google Scholar]
  8. Barbieri, M.M., Berger, J.O., George, E.I., & RoCkovâ, V. 2021, Bayesian Anal., 1, 1 [Google Scholar]
  9. Benjamini, Y., & Hochberg, Y. 1995, J.R. Stat. Soc. B (Methodological), 57, 289 [Google Scholar]
  10. Boisse, I., Moutou, C., Vidal-Madjar, A., et al. 2009, A&A, 495, 959 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Brewer, B.J. 2014, ArXiv e-prints [arXiv:1411.3921] [Google Scholar]
  12. Brewer, B.J., & Donovan, C.P. 2015, MNRAS, 448, 3206 [NASA ADS] [CrossRef] [Google Scholar]
  13. Buchner, J. 2021, ArXiv e-prints, [arXiv:2101.09675] [Google Scholar]
  14. Casella, G., & Berger, R. 2001, Statistical Inference (Duxbury Resource Center) [Google Scholar]
  15. Chen, S.S., Donoho, D.L., & Saunders, M.A. 1998, SIAM J. Sci. Comput., 20, 33 [CrossRef] [MathSciNet] [Google Scholar]
  16. Chib, S., & Kuffner, T.A. 2016, ArXiv e-prints [arXiv:1607.00292] [Google Scholar]
  17. Collier Cameron, A., Mortier, A., Phillips, D., et al. 2019, MNRAS, 487, 1082 [Google Scholar]
  18. Cox, R.T. 1946, Am. J. Phys., 14, 1 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cox, R.T. 1961, The Algebra Of Probable Inference (John Hopkins University Press) [Google Scholar]
  20. Cumming, A. 2004, MNRAS, 354, 1165 [Google Scholar]
  21. Cumming, A., Marcy, G.W., & Butler, R.P. 1999, ApJ, 526, 890 [NASA ADS] [CrossRef] [Google Scholar]
  22. Dawson, R.I., & Fabrycky, D.C. 2010, ApJ, 722, 937 [CrossRef] [Google Scholar]
  23. Delisle, J.B., Hara, N., & Ségransan, D. 2020, A&A 635, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Draper, D., & Krnjajic, M. 2010, Bayesian Anal., 1, 1 [Google Scholar]
  25. Dumusque, X., Udry, S., Lovis, C., Santos, N.C., & Monteiro, M.J.P.F.G. 2011, A&A, 525, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Dumusque, X., Boisse, I., & Santos, N.C. 2014, ApJ, 796, 132 [NASA ADS] [CrossRef] [Google Scholar]
  27. Faria, J.P.D.S. 2018, PhD thesis, Universidade do Porto [Google Scholar]
  28. Faria, J.P., Haywood, R.D., Brewer, B.J., et al. 2016, A&A, 588, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Faria, J.P., Adibekyan, V., Amazo-Gömez, E.M., et al. 2020, A&A, 635, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Feng, F., Tuomi, M., & Jones, H.R.A. 2017, MNRAS, 470, 4794 [NASA ADS] [CrossRef] [Google Scholar]
  31. Feroz, F., Balan, S.T., & Hobson, M.P. 2011, MNRAS, 415, 3462 [NASA ADS] [CrossRef] [Google Scholar]
  32. Ferraz-Mello, S. 1981, AJ, 86, 619 [NASA ADS] [CrossRef] [Google Scholar]
  33. Ford, E.B. 2005, AJ, 129, 1706 [NASA ADS] [CrossRef] [Google Scholar]
  34. Ford, E.B. 2006, ApJ, 642, 505 [NASA ADS] [CrossRef] [Google Scholar]
  35. Ford, E.B., & Gregory, P.C. 2007, in Astronomical Society of the Pacific Conference Series, 371, Statistical Challenges in Modern Astronomy IV, eds. G.J. Babu, & E.D. Feigelson, 189 [NASA ADS] [Google Scholar]
  36. Fulton, B.J., Petigura, E.A., Howard, A.W., et al. 2017, AJ, 154, 109 [NASA ADS] [CrossRef] [Google Scholar]
  37. Gaudi, B.S. 2022, The Demographics of Wide-Separation Planets, (Cham: Springer International Publishing), 446, 237 [NASA ADS] [Google Scholar]
  38. Green, P.J. 1995, Biometrika, 82, 711 [CrossRef] [Google Scholar]
  39. Gregory, P. 2005, Bayesian Logical Data Analysis for the Physical Sciences (New York: Cambridge University Press) [Google Scholar]
  40. Gregory, P.C. 2007a, MNRAS, 374, 1321 [NASA ADS] [CrossRef] [Google Scholar]
  41. Gregory, P.C. 2007b, MNRAS, 381, 1607 [NASA ADS] [CrossRef] [Google Scholar]
  42. Gregory, P.C. 2016, MNRAS, 458, 2604 [NASA ADS] [CrossRef] [Google Scholar]
  43. Halpern, J. 1999, Journal of AI research, 10, 67 [Google Scholar]
  44. Handley, W.J., Hobson, M.P., & Lasenby, A.N. 2015a, MNRAS, 450, L61 [NASA ADS] [CrossRef] [Google Scholar]
  45. Handley, W.J., Hobson, M.P., & Lasenby, A.N. 2015b, MNRAS, 453, 4384 [Google Scholar]
  46. Hara, N.C., Boué, G., Laskar, J., & Correia, A.C.M. 2017, MNRAS, 464, 1220 [NASA ADS] [CrossRef] [Google Scholar]
  47. Hara, N.C., Boué, G., Laskar, J., Delisle, J.B., & Unger, N. 2019, MNRAS, 489, 738 [NASA ADS] [CrossRef] [Google Scholar]
  48. Hara, N.C., Bouchy, F., Stalport, M., et al. 2020, A&A, 636, A6 [Google Scholar]
  49. Hara, N.C., de Poyferré, T., Delisle, J.-B., & Hoffmann, M. 2022a, Ann. Appl. Stat., submitted [arXiv:2203.04957] [Google Scholar]
  50. Hara, N.C., Delisle, J.-B., Unger, N., & Dumusque, X. 2022b, A&A, 658, A177 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Hayashi, C. 1981, Progr. Theor. Phys. Suppl., 70, 35 [Google Scholar]
  52. Haywood, R.D., Collier Cameron, A., Queloz, D., et al. 2014, MNRAS, 443, 2517 [NASA ADS] [CrossRef] [Google Scholar]
  53. Haywood, R.D., Collier Cameron, A., Unruh, Y.C., et al. 2016, MNRAS, 457, 3637 [NASA ADS] [CrossRef] [Google Scholar]
  54. Hobson, M.J., Diaz, R.F., Delfosse, X., et al. 2018, A&A, 618, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Hobson, M.J., Delfosse, X., Astudillo-Defru, N., et al. 2019, A&A, 625, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Hoeting, J.A., Madigan, D., Raftery, A.E., & Volinsky, C.T. 1999, Stat. Sci., 14, 382 [CrossRef] [Google Scholar]
  57. Hogg, D.W., Myers, A.D., & Bovy, J. 2010, ApJ, 725, 2166 [CrossRef] [Google Scholar]
  58. Jain, P., Tewari, A., & Dhillon, I.S. 2011, ArXiv e-prints [arXiv:1106.2774] [Google Scholar]
  59. Jeffreys, H. 1946, Proc. R. Soc. Lond. A: Math. Phys. Eng. Sci., 186, 453 [NASA ADS] [Google Scholar]
  60. Jeffreys, H. 1961, The Theory of Probability (Oxford University Press) [Google Scholar]
  61. Jones, D.E., Stenning, D.C., Ford, E.B., et al. 2017, ArXiv e-prints [arXiv:1711.01318] [Google Scholar]
  62. Kass, R.E., & Raftery, A.E. 1995, J. Am. Stat. Assoc., 90, 773 [Google Scholar]
  63. Kipping, D.M. 2014, MNRAS, 444, 2263 [NASA ADS] [CrossRef] [Google Scholar]
  64. Lehmann, E.L., & Romano, J.P. 2005, Testing statistical hypotheses, 3rd edn., Springer Texts in Statistics (New York: Springer) [Google Scholar]
  65. Leleu, A., Alibert, Y., Hara, N.C., et al. 2021, A&A, 649, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Lomb, N.R. 1976, Ap&SS, 39, 447 [NASA ADS] [CrossRef] [Google Scholar]
  67. Lovis, C., Mayor, M., Pepe, F., et al. 2006, Nature, 441, 305 [NASA ADS] [CrossRef] [Google Scholar]
  68. Lovis, C., Ségransan, D., Mayor, M., et al. 2011, A&A, 528, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  69. Meunier, N., Desort, M., & Lagrange, A.-M. 2010, A&A, 512, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Mortier, A., & Collier Cameron, A. 2017, A&A, 601, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Mortier, A., Faria, J.P., Correia, C.M., Santerne, A., & Santos, N.C. 2015, A&A, 573, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Nelson, B.E., Ford, E.B., Buchner, J., et al. 2020, AJ, 159, 73 [NASA ADS] [CrossRef] [Google Scholar]
  73. Noyes, R.W. 1984, in Space Research in Stellar Activity and Variability, eds. A. Mangeney, & F. Praderie, 113 [Google Scholar]
  74. O’Toole, S.J., Tinney, C.G., Jones, H.R.A., et al. 2009, MNRAS, 392, 641 [CrossRef] [Google Scholar]
  75. Paris, J.B. 1994, The Uncertain Reasoner's Companion: A Mathematical Perspective (Cambridge University Press), 4 [Google Scholar]
  76. Pinamonti, M., Sozzetti, A., Bonomo, A.S., & Damasso, M. 2017, MNRAS, 468, 3775 [CrossRef] [Google Scholar]
  77. Price-Whelan, A.M., Hogg, D.W., Foreman-Mackey, D., & Rix, H.-W. 2017, ApJ, 837, 20 [NASA ADS] [CrossRef] [Google Scholar]
  78. Queloz, D., Henry, G.W., Sivan, J.P., et al. 2001, A&A, 379, 279 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Rajpaul, V., Aigrain, S., Osborne, M.A., Reece, S., & Roberts, S.J. 2015, MNRAS, 452, 2269 [NASA ADS] [CrossRef] [Google Scholar]
  80. Reegen, P. 2007, A&A, 467, 1353 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Robertson, P. 2018, ApJ, 864, L28 [NASA ADS] [CrossRef] [Google Scholar]
  82. Santerne, A., Malavolta, L., Kosiarek, M.R., et al. 2019, Nat. Astron., submitted, [arXiv:1911.07355] [Google Scholar]
  83. Scargle, J.D. 1982, ApJ, 263, 835 [NASA ADS] [CrossRef] [Google Scholar]
  84. Schuster, A. 1898, Terrestrial Magn., 3, 13 [NASA ADS] [CrossRef] [Google Scholar]
  85. Shannon, C. 1948, Bell Syst. Tech. J., 27 [Google Scholar]
  86. Shimony, A. 1988, An Adamite Derivation of the Principles of the Calculus of Probability, ed. J.H. Fetzer (Dordrecht: Springer Netherlands), 79 [Google Scholar]
  87. Sinharay, S., & Stern, H.S. 2002, Am. Stat., 56, 196 [CrossRef] [Google Scholar]
  88. Soric, B. 1989, J. Am. Stat. Assoc., 84, 608 [Google Scholar]
  89. Süveges, M. 2014, MNRAS, 440, 2099 [CrossRef] [Google Scholar]
  90. Tuomi, M. 2011, A&A, 528, L5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Tuomi, M. 2012, A&A, 543, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Udry, S., Dumusque, X., Lovis, C., et al. 2019, A&A, 622, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  93. van Fraassen, C. 1984, J. Philos., 81, 235 [CrossRef] [Google Scholar]
  94. Wald, A. 1949, Ann. Math. Stat., 20, 165 [CrossRef] [Google Scholar]
  95. Wright, J.T., & Howard, A.W. 2009, ApJS, 182, 205 [CrossRef] [Google Scholar]
  96. Zechmeister, M., & Kürster, M. 2009, A&A, 496, 577 [CrossRef] [EDP Sciences] [Google Scholar]
  97. Zucker, S. 2015, MNRAS, 449, 2723 [NASA ADS] [CrossRef] [Google Scholar]
  98. Zucker, S. 2016, MNRAS, 457, L118 [NASA ADS] [CrossRef] [Google Scholar]
  99. Zucker, S. 2018, MNRAS, 474, L86 [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.