Switching Autoregressive Models

Switching Autoregressive Models is a regime-switching time series model that extends the classical autoregressive framework by allowing the autoregressive parameters to change dynamically across different regimes governed by a latent discrete-state Markov process.

39

Publications

2.7K

Citations

81

Authors

72

Institutions

Publications per year

2017–2026

7

Variants

Markov-switching Autoregressive ModelsMs-ar Models

Authors

81

  1. VM
    Valérie Monbet

    Institut de recherche mathématique de Rennes, France

    4 publications · 222 citations

    4

    h-index

  2. PA
    Pierre Ailliot

    Université de Bretagne Occidentale, France

    4 publications · 252 citations

    4

    h-index

  3. AM
    Alain Monfort

    Centre de Recherche en Économie et Statistique, France

    3 publications · 112 citations

    3

    h-index

  4. YE
    Y. Ephraim

    George Mason University, United States

    2 publications · 858 citations

    2

    h-index

  5. HK
    Hans‐Martin Krolzig

    University of Oxford, United Kingdom

    2 publications · 193 citations

    2

    h-index

1–5 of 81

Venues

  1. Journal of Econometrics

    3 publications · 147 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 64 citations

    3

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 2 publications · 71 citations

    2

    h-index

  4. Journal of Mathematical Sciences

    1 publications · 14 citations

    1

    h-index

  5. Advances in Water Resources

    1 publications · 10 citations

    1

    h-index

1–5