Periodically Correlated Random Sequences

By H. Hurd, A. Miamee. 2007

389 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/dc9860673c6164f15d02e276a7dada710fd07316

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dimitris Nicolas Politis
2. Efstathios Paparoditis
3. Robert B. Lund
4. Simon S. Haykin
5. Jeffrey H. Reed
6. Jacek Leskow
7. David J. Thomson
8. Anna E. Dudek

In Statistical and Nonlinear Physics

1. Simon S. Haykin
2. Dimitris Nicolas Politis
3. Eric Ghysels
4. Efstathios Paparoditis

Citations in the corpus

• A GENERALIZED BLOCK BOOTSTRAP FOR SEASONAL TIME SERIES (2014, background): “So as to find examples and properties of such processes, we refer the reader to Hurd and Miamee (2007).”
• Spectrum Sensing for Cognitive Radio (2009, background): “The literature on cyclostationarity includes the recent book by Hurd and Miamee [49] and the bibliography due to Serpedin et al. [9] that lists more than 1500 papers on the subject.”
• PARSIMONIOUS PERIODIC TIME SERIES MODELING (2006, background): “Such series are also called periodically correlated (Gladyšhev, 1961), cyclostationary (Gardner & Franks, 1975), and periodically stationary (Monin, 1963).”
• Macroeconomics and the Reality of Mixed Frequency Data (2016, methodology): “In addition, the DGP in Assumption 4.1 includes a class of periodic models studied in Gladyshev (1961) and in particular Tiao and Grupe (1980), Hansen and Sargent (1990, Chap.”