An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models
Author:
Affiliation:
1. Biomathematics and Statistics Scotland Aberdeen UK
2. The James Hutton Institute Aberdeen UK
3. Dipartimento di Scienze Statistiche Università Cattolica SC Milano Italy
Publisher
Wiley
Subject
Ecological Modelling,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2695
Reference50 articles.
1. Non-homogeneous hidden Markov-switching models for wind time series
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4. An autoregressive model with time-varying coefficients for wind fields
5. On the parametrization of autoregressive models by partial autocorrelations
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