Spectrum inference for replicated spatial locally time-harmonizable time series-Reference-Cited by-同舟云学术

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Spectrum inference for replicated spatial locally time-harmonizable time series

Published:2023-01-01 Issue:1 Volume:17 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Aston John¹,Dehay Dominique²,Dudek Anna E.³,Freyermuth Jean-Marc⁴,Szucs Denes⁵,Colling Lincoln⁶

Affiliation:

1. Dept. of Pure Mathematics and Mathematical Statistics, University of Cambridge, U.K

2. Univ Rennes, CNRS, IRMAR UMR 6625, France

3. AGH University of Krakow, Dept. of Applied Mathematics, al. Mickiewicza 30, 30-059, Krakow, Poland

4. Institut de Mathématiques de Marseille, Aix-Marseille University, France

5. Dept. of Psychology, University of Cambridge, U.K

6. Dept. of Psychology, University of Sussex, U.K

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

Reference39 articles.

1. BARTON, B. and BREWER, A. A. (2013). Visual working memory in human cortex. Psychology (Irvine) 4(8) 655–662.

2. BOLTHAUSEN, E. (1982). On the central limit theorem for stationary mixing random fields. The Annals of Probability 10(4) 1047–1050.

3. BRILLINGER, D. R. (2001). Time Series: data analysis and theory. Society for Industrial and Applied Mathematics.

4. BROCKWELL, P. J. and DAVIS, R. A. (1991). Time Series: Theory and Methods. Springer Verlag, New York.

5. CHAKRABORTY, S. and WONG, S. W. K. (2021).BAMBI: An R package for Fitting Bivariate Angular Mixture Models. Journal of Statistical Software 99(11) 1–69.

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