Free Access
Volume 510, February 2010
Article Number A38
Number of page(s) 12
Section Cosmology (including clusters of galaxies)
Published online 04 February 2010
  1. Abazajian, K., & Sloan Digital Sky Survey F. T. 2009, ApJS, 182, 543 [NASA ADS] [CrossRef] [Google Scholar]
  2. Aragón-Calvo, M. A. 2007, Morphology and dynamics of the cosmic web, Ph.D. Thesis, Rijksuniversitiet Groningen [Google Scholar]
  3. Aragón-Calvo, M. A., Jones, B. J. T., van de Weygaert, R., & van der Hulst, J. M. 2007a, A&A, 474, 315 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Aragon-Calvo, M. A., Platen, E., van de Weygaert, R., & Szalay, A. S. 2008, unpublished [arXiv:0809.5104] [Google Scholar]
  5. Aragón-Calvo, M. A., van de Weygaert, R., Jones, B. J. T., & van der Hulst, J. M. 2007b, ApJ, 655, L5 [NASA ADS] [CrossRef] [Google Scholar]
  6. Baddeley, A., Møller, J., & Pakes, A. G. 2008, Annals of the Institute of Mathematics, 60, 627 [CrossRef] [Google Scholar]
  7. Baddeley, A., Turner, R., Møller, J., & Hazelton, M. 2005, Journal of the Royal Statistical Society, Series B, 67(5), 617 [Google Scholar]
  8. Barnes, D. G., Fluke, C. J., Bourke, P. D., & Parry, O. T. 2006, Publications of the Astronomical Society of Australia, 23, 82 [NASA ADS] [CrossRef] [Google Scholar]
  9. Barrow, J. D., Sonoda, D. H., & Bhavsar, S. P. 1985, MNRAS, 216, 17 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  10. Bond, N., Strauss, M., & Cen, R. 2009, MNRAS, submitted, [arXiv:0903.3601] [Google Scholar]
  11. Colberg, J. M. 2007, MNRAS, 375, 337 [NASA ADS] [CrossRef] [Google Scholar]
  12. Colberg, J. M., White, S. D. M., Yoshida, N., et al. 2000, MNRAS, 319, 209 [NASA ADS] [CrossRef] [Google Scholar]
  13. Cole, S., Hatton, S., Weinberg, D. H., & Frenk, C. S. 1998, MNRAS, 300, 945 [Google Scholar]
  14. Colless, M., Dalton, G., Maddox, S., et al. 2001, MNRAS, 328, 1039 [NASA ADS] [CrossRef] [Google Scholar]
  15. Croton, D. J., Colless, M., Gaztañaga, E., et al. 2004, MNRAS, 352, 828 [NASA ADS] [CrossRef] [Google Scholar]
  16. Eriksen, H. K., Novikov, D. I., Lilje, P. B., Banday, A. J., & Górski, K. M. 2004, ApJ, 612, 64 [NASA ADS] [CrossRef] [Google Scholar]
  17. Forero-Romero, J. E., Hoffman, Y., Gottloeber, S., Klypin, A., & Yepes, G. 2009, MNRAS, 396, 1815 [NASA ADS] [CrossRef] [Google Scholar]
  18. Geyer, C. J. 1999, in Stochastic geometry, likelihood and computation, ed. O. Barndorff-Nielsen, W. S. Kendall, & M. N. M. van Lieshout (Boca Raton: CRC Press/Chapman and Hall), 79 [Google Scholar]
  19. Geyer, C. J., & Møller, J. 1994, Scan. J. Stat., 21, 359 [Google Scholar]
  20. Green, P. J. 1995, Biometrika, 82, 711 [Google Scholar]
  21. Illian, J., Penttinen, A., Stoyan, H., & Stoyan, D. 2008, Statistical Analysis and Modelling of Spatial Point Patterns (John Wiley and Sons Ltd.) [Google Scholar]
  22. Kendall, W. S., & Møller, J. 2000, Adv. Appl. Prob., 32, 844 [CrossRef] [Google Scholar]
  23. Lacoste, C., Descombes, X., & Zerubia, J. 2005, IEEE Trans. Pattern Analysis and Machine Intelligence, 27, 1568 [CrossRef] [Google Scholar]
  24. Lieshout, M. N. M., & Stoica, R. S. 2003, Statistica Neerlandica, 57, 1 [Google Scholar]
  25. Martínez, V. J., & Saar, E. 2002, Statistics of the Galaxy Distribution (Boca Raton: Chapman & Hall/CRC) [Google Scholar]
  26. Møller, J., & Waagepetersen, R. P. 2003, Statistical inference for spatial point processes (Boca Raton: Chapman & Hall/CRC) [Google Scholar]
  27. Norberg, P., Cole, S., Baugh, C. M., et al. 2002, MNRAS, 336, 907 [NASA ADS] [CrossRef] [Google Scholar]
  28. Novikov, D., Colombi, S., & Doré, O. 2006, MNRAS, 366, 1201 [NASA ADS] [Google Scholar]
  29. Pimbblet, K. A. 2005, PASA, 22, 136 [NASA ADS] [CrossRef] [Google Scholar]
  30. Pimbblet, K. A., & Drinkwater, M. J. 2004, MNRAS, 347, 137 [NASA ADS] [CrossRef] [Google Scholar]
  31. Pimbblet, K. A., Drinkwater, M. J., & Hawkrigg, M. C. 2004, MNRAS, 354, L61 [NASA ADS] [CrossRef] [Google Scholar]
  32. Preston, C. J. 1977, Bull. Int. Stat. Inst., 46, 371 [Google Scholar]
  33. Sousbie, T., Colombi, S., & Pichon, C. 2009, MNRAS, 393, 457 [NASA ADS] [CrossRef] [Google Scholar]
  34. Sousbie, T., Pichon, C., Colombi, S., Novikov, D., & Pogosyan, D. 2008a, MNRAS, 383, 1655 [Google Scholar]
  35. Sousbie, T., Pichon, C., Courtois, H., Colombi, S., & Novikov, D. 2008b, ApJ, 672, L1 [NASA ADS] [CrossRef] [Google Scholar]
  36. Stoica, R. S., Descombes, X., van Lieshout, M. N. M., & Zerubia, J. 2002, in Spatial statistics through applications, ed. J. Mateu, & F. Montes (Southampton, UK: WIT Press), 287 [Google Scholar]
  37. Stoica, R. S., Descombes, X., & Zerubia, J. 2004, Int. J. Computer Vision, 57(2), 121 [Google Scholar]
  38. Stoica, R. S., Gregori, P., & Mateu, J. 2005a, Stochastic Processes and their Applications, 115, 1860 [Google Scholar]
  39. Stoica, R. S., Martinez, V. J., Mateu, J., & Saar, E. 2005b, A&A, 434, 423 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Stoica, R. S., Gay, E., & Kretzschmar, A. 2007a, Biometrical J., 49(2), 1 [Google Scholar]
  41. Stoica, R. S., Martinez, V. J., & Saar, E. 2007b, Journal of the Royal Statistical Society: Series C, Applied Statistics, 55, 189 [Google Scholar]
  42. Stoyan, D., Kendall, W. S., & Mecke, J. 1995, Stochastic geometry and its applications (John Wiley and Sons Ltd.) [Google Scholar]
  43. van Lieshout, M. N. M. 2000, Markov point processes and their applications (London, Singapore: Imperial College Press/World Scientific Publishing) [Google Scholar]
  44. van Lieshout, M. N. M., & Stoica, R. S. 2006, Computational Statistics and Data Analysis, 51, 679 [Google Scholar]
  45. Viel, M., Branchini, E., Cen, R., et al. 2005, MNRAS, 360, 1110 [NASA ADS] [CrossRef] [Google Scholar]
  46. Werner, N., Finoguenov, A., Kaastra, J. S., et al. 2008, A&A, 482, L29 [NASA ADS] [CrossRef] [EDP Sciences] [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.