Scientific Research Publishing

Seabrook, E. and Wiskott, L. (2023) A Tutorial on the Spectral Theory of Markov Chains. Neural Computation, 35, 1713-1796.

ABSTRACT: An algorithm is being developed to conduct a computational experiment to study the dynamics of random processes in an asymmetric Markov chain with eight discrete states and continuous time.
JSTOR Daily

Bayesian Inference in Hidden Markov Models through the Reversible Jump Markov Chain Monte Carlo Method

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 62, No. 1 (2000), pp. 57-75 (19 pages) Hidden Markov models form an extension of mixture models which provides a ...
Scientific Research Publishing

Rabiner, L.R. (1989) A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 77, 257-286.

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...
IEEE

Tensor-Based Factorial Hidden Markov Model for Cyber-Physical-Social Services

Abstract: With the rapid development and widespread application of information, computer, and communication technologies, Cyber-Physical-Social Systems (CPSS) have gained increasing importance and ...
JSTOR Daily

Modeling Structure and Chance in Transitions: Mixed Latent Partial Markov-Chain Models

This is a preview. Log in through your library . Abstract A family of finite mixture distribution models is presented which allows specification of basically different developmental processes in ...