A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking.

DOI10.1016/S0165-1684(02)00378-XzbMath1051.62097MaRDI QIDQ1853754

Shun-Zheng Yu, Hisashi Kobayashi

Publication date: 22 January 2003

Published in: Signal Processing (Search for Journal in Brave)

zbMATH Keywords

Missing dataExpectation-maximization (EM) algorithmFerguson algorithmForward-backward algorithmHidden Markov model (HMM)Hidden semi-Markov model (HSMM)HMM with explicit durationMaximum a posteriori probability (MAP) estimationMaximum likelihood (ML) estimationMobility modelingMultiple observationsWireless Internet service

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Applications of statistics (62P99) Inference from stochastic processes (62M99) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

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