Model checking for hidden Markov models
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 …
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
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 …
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
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 …
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 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 …
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 …
selatan tepatnya di kabupaten Tana Toraja Indonesia. Indonesia memiliki beragam Bahasa …
Finding the number of latent states in hidden Markov models using information criteria
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 …
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)
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 …
sequences and swarms, along with periods of seismic quiescence, are explored through the …
Hidden Markov Models for Low-Frequency Earthquake Recurrence
Low-frequency earthquakes (LFEs) are small magnitude earthquakes with frequencies of 1–
10 Hertz which often occur in overlap** sequence forming persistent seismic tremors …
10 Hertz which often occur in overlap** sequence forming persistent seismic tremors …
Modeling continuous time series with many zeros and an application to earthquakes
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 …
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
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 …
distribution is iid potentially hindering the ability of the model to describe the main features of …