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Statistical Inference for Stationary Processes

In: Long-Memory Processes

Author

Listed:
  • Jan Beran

    (University of Konstanz, Dept. of Mathematics and Statistics)

  • Yuanhua Feng

    (University of Paderborn, Faculty of Business Administration and Economics)

  • Sucharita Ghosh

    (Swiss Federal Research Institute WSL)

  • Rafal Kulik

    (University of Ottawa, Dept. of Mathematics and Statistics)

Abstract

This chapter deals with statistical inference for long-range dependent linear and subordinated processes. Some of the tools will also be used in Chaps. 6 and 7 when we shall consider corresponding problems for nonlinear and nonstationary long-memory time series.

Suggested Citation

  • Jan Beran & Yuanhua Feng & Sucharita Ghosh & Rafal Kulik, 2013. "Statistical Inference for Stationary Processes," Springer Books, in: Long-Memory Processes, edition 127, chapter 0, pages 385-528, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-35512-7_5
    DOI: 10.1007/978-3-642-35512-7_5
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