Dependence in Probability and Statistics (2010)

  1. Permutation and bootstrap statistics under infinite variance, by István Berkes, Lajos Horváth and Johannes Schauer, pp 1-20.
  2. Max-stable processes: representations, ergodic properties and statistical applications, by Stilian A. Stoev, pp 21-42.
  3. Best attainable rates of convergence for the estimation of the memory parameter, by Philippe Soulier, pp 43-57.
  4. Harmonic analysis tools for statistical inference in the spectral domain, by Florin Avram, Nikolai Leonenko and Liudmila Sakhno, pp 59-70.
  5. On the impact of the number of vanishing moments on the dependence structures of compound Poisson motion and fractional Brownian motion in multifractal time, by Béatrice Vedel, Herwig Wendt, Patrice Abry and Stéphane Jaffard, pp 71-101.
  6. Multifractal scenarios for products of geometric Ornstein-Uhlenbeck type processes, by Vo V. Anh, Nikolai N. Leonenko and Narn-Rueih Shieh, pp 103-122.
  7. A new look at measuring dependence, by Wei Biao Wu and Jan Mielniczuk, pp 123-142.
  8. Robust regression with infinite moving average errors, by Patrick J. Farrell and Mohamedou Ould Haye, pp 143-157.
  9. A note on the monitoring of changes in linear models with dependent errors, by Alexander Schmitz and Josef G. Steinebach, pp 159-174.
  10. Testing for homogeneity of variance in the wavelet domain, by Olaf Kouamo, Eric Moulines and François Roueff, pp 175-205.
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