A non-homogeneous hidden Markov model for predicting the distribution of sea surface elevation

DOI10.1080/02664763.2013.839634OpenAlexW1976271683MaRDI QIDQ5128579

Kunio Shimizu, Tsukasa Hokimoto

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.839634

zbMATH Keywords

predictionwind directionwind speedsea statenon-homogeneous hidden Markov modelcircular hidden Markov model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Markov-switching linked autoregressive model for non-continuous wind direction data ⋮ Recent advances in directional statistics ⋮ Unnamed Item ⋮ Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method ⋮ Comments on: ``Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates

Uses Software

• itsmr

Cites Work

• Unnamed Item
• Unnamed Item
• An angular-linear time series model for waveheight prediction
• A dynamic analysis of stock markets using a hidden Markov model
• The effect of non-linearities on statistical distributions in the theory of sea waves
• Statistical Inference for Probabilistic Functions of Finite State Markov Chains
• Hidden Markov Models for Time Series

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