Journal of Time Series Analysis

Table of Contents

Volume 32 Issue 4 (July 2011)

337-446

Special Issue: Time Series in the Environmental Sciences

Editorial: Special issue on time series in the environmental sciences

  • Author: Noel Cressie, Scott H. Holan
  • Pub Online: Jun 06, 2011
  • DOI: 10.1111/j.1467-9892.2011.00739.x (p 337-338)

Polynomial nonlinear spatio‐temporal integro‐difference equation models

  • Author: Christopher K. Wikle, Scott H. Holan
  • Pub Online: Mar 28, 2011
  • DOI: 10.1111/j.1467-9892.2011.00729.x (p 339-350)

A wavelet‐based spectral method for extracting self‐similarity measures in time‐varying two‐dimensional rainfall maps

  • Author: Pepa Ramírez‐Cobo, Kichun Sky Lee, Annalisa Molini, Amilcare Porporato, Gabriel Katul, Brani Vidakovic
  • Pub Online: Apr 24, 2011
  • DOI: 10.1111/j.1467-9892.2011.00731.x (p 351-363)

A class of stochastic volatility models for environmental applications

  • Author: Wenying Huang, Ke Wang, F. Jay Breidt, Richard A. Davis
  • Pub Online: May 04, 2011
  • DOI: 10.1111/j.1467-9892.2011.00735.x (p 364-377)

Space‐time modelling of trends in temperature series

  • Author: Peter F. Craigmile, Peter Guttorp
  • Pub Online: Apr 21, 2011
  • DOI: 10.1111/j.1467-9892.2011.00733.x (p 378-395)

A spatio‐temporal analysis of the spread of sugarcane yellow leaf virus

  • Author: Jean Vaillant, Gavino Puggioni, Lance A. Waller, Jean Daugrois
  • Pub Online: Apr 24, 2011
  • DOI: 10.1111/j.1467-9892.2011.00730.x (p 396-406)

A prediction‐residual approach for identifying rare events in periodic time series

  • Author: Zhiyun Gong, Peter Kiessler, Robert Lund
  • Pub Online: Mar 18, 2011
  • DOI: 10.1111/j.1467-9892.2011.00725.x (p 407-419)

The application of prototype point processes for the summary and description of California wildfires

  • Author: Kevin Nichols, Frederic Paik Schoenberg, Jon E. Keeley, Andrew Bray, David Diez
  • Pub Online: Jun 06, 2011
  • DOI: 10.1111/j.1467-9892.2011.00734.x (p 420-429)

Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets

  • Author: Matthias Katzfuss, Noel Cressie
  • Pub Online: May 03, 2011
  • DOI: 10.1111/j.1467-9892.2011.00732.x (p 430-446)

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