Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	Art. 105751
Journal	Environmental Modelling and Software
Volume	167
DOIs	https://doi.org/10.1016/j.envsoft.2023.105751
Publication status	Published - 1 Sept 2023

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@article{46060807ef0d41e396bd870adac3aebb,

title = "Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models",

author = "L. Spezia and S. Gibbs and M. Glendell and R. Helliwell and R. Paroli and I. Pohle",

year = "2023",

month = sep,

day = "1",

doi = "10.1016/j.envsoft.2023.105751",

language = "English",

volume = "167",

journal = "Environmental Modelling and Software",

}

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T1 - Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models

AU - Spezia, L.

AU - Gibbs, S.

AU - Glendell, M.

AU - Helliwell, R.

AU - Paroli, R.

AU - Pohle, I.

PY - 2023/9/1

Y1 - 2023/9/1

U2 - 10.1016/j.envsoft.2023.105751

DO - 10.1016/j.envsoft.2023.105751

M3 - Article

VL - 167

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

M1 - Art. 105751

ER -