Application of a non-homogeneous Markov chain with seasonal transition probabilities to ozone data

DOI10.1080/02664763.2018.1492527OpenAlexW2809723474MaRDI QIDQ5036520

Eliane R. Rodrigues, Guadalupe Tzintzun, Mario Hissamitsu Tarumoto

Publication date: 23 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2018.1492527

zbMATH Keywords

air pollutionBayesian inferenceMarkov chain Monte Carlo algorithmsMexico cityseasonal transition probabilities

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

Analysis of exchange rates as time-inhomogeneous Markov chain with finite states

Cites Work

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• Estimation for discrete time nonhomogeneous Markov chains
• A Bayesian Approach to DNA Sequence Segmentation
• A bayesian method in determining the order of a finite state markov chain

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