Markov chains provide a fundamental framework for modelling stochastic processes, where the next state depends solely on the current state. Hidden Markov models (HMMs) extend this framework by ...
Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...
Applies for New Patent, Achieving More Accurate Lane-Level Positioning Correction. According to information from ...
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The Physics Behind Time Travel’s Self-Destruction Paradox
Might the mere fact of creating a time machine ensure its own elimination from history? That’s the disquieting suggestion of ...
This is a preview. Log in through your library . Abstract In the present paper, we study some probabilistic and statistical properties of the Markov-switching asymmetric log GARCH processes, where the ...
Understanding the heterogeneity over spatial locations is an important problem that has been widely studied in applications such as economics and environmental science. We focus on regression models ...
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