Model checking for hidden Markov models

J Buckby, T Wang, J Zhuang… - Journal of Computational …, 2020 - Taylor & Francis
Residual analysis is a useful tool for checking lack of fit and for providing insight into model
improvement. However, literature on residual analysis and the goodness of fit for hidden …

Identifying the Recurrence Patterns of Nonvolcanic Tremors Using a 2‐D Hidden Markov Model With Extra Zeros

T Wang, J Zhuang, J Buckby, K Obara… - … Research: Solid Earth, 2018 - Wiley Online Library
Nonvolcanic tremor activity has been observed in many places worldwide. In some regions,
their activity was observed to accompany slow slip events. Before examining whether and …

Estimating the earthquake occurrence rates in Corinth Gulf (Greece) through Markovian arrival process modeling

P Bountzis, E Papadimitriou… - Journal of Applied …, 2019 - Taylor & Francis
ABSTRACT The Markovian Arrival Process (MAP) is applied as a candidate model to
describe the time-varying earthquake activity in Corinth Gulf, Greece. To the best of our …

Inhomogeneous hidden semi-Markov models for incompletely observed point processes

A Shahzadi, T Wang, M Bebbington, M Parry - Annals of the Institute of …, 2023 - Springer
A general class of inhomogeneous hidden semi-Markov models (IHSMMs) is proposed for
modelling partially observed processes that do not necessarily behave in a stationary and …

[PDF][PDF] Desain sistem speech recognition penerjemah bahasa toraja menggunakan hidden markov model

S Wahyuni, NS Layuk, RH Loly… - Jurnal Penelitian Pos …, 2021 - jurnal-ppi.kominfo.go.id
Bahasa daerah toraja merupakan salah satu bahasa daerah yang ada di provinsi sulawesi
selatan tepatnya di kabupaten Tana Toraja Indonesia. Indonesia memiliki beragam Bahasa …

Finding the number of latent states in hidden Markov models using information criteria

J Buckby, T Wang, D Fletcher, J Zhuang… - … and Ecological Statistics, 2023 - Springer
Abstract Hidden Markov models (HMMs) are often used to model time series data and are
applied in many fields of research. However, estimating the unknown number of hidden …

Earthquake clusters identification through a Markovian arrival process (MAP): Application in Corinth Gulf (Greece)

P Bountzis, E Papadimitriou, G Tsaklidis - Physica A: Statistical Mechanics …, 2020 - Elsevier
Prevailing patterns of seismicity dynamics, like the evolution of main shock–aftershock
sequences and swarms, along with periods of seismic quiescence, are explored through the …

Hidden Markov Models for Low-Frequency Earthquake Recurrence

J Allen, T Wang - The American Statistician, 2024 - Taylor & Francis
Low-frequency earthquakes (LFEs) are small magnitude earthquakes with frequencies of 1–
10 Hertz which often occur in overlap** sequence forming persistent seismic tremors …

Modeling continuous time series with many zeros and an application to earthquakes

Y Wang, T Wang, J Zhuang - Environmetrics, 2018 - Wiley Online Library
We introduce a way to discretize a point process such as earthquakes into time series and
propose a class of two‐part autoregressive (2PAR) models for continuous time series data …

A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences

L Davis, B Baeumer, T Wang - arxiv preprint arxiv:2404.01478, 2024 - arxiv.org
Most point process models for earthquakes currently in the literature assume the magnitude
distribution is iid potentially hindering the ability of the model to describe the main features of …