Maximum likelihood estimation for multivariate observations of Markov sources
From MaRDI portal
Publication:3965447
DOI10.1109/TIT.1982.1056544zbMath0499.62072MaRDI QIDQ3965447
Publication date: 1982
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
iterative proceduremaximum likelihood estimationvector random processesmultivariate functions of Markov chains
Markov processes: estimation; hidden Markov models (62M05) Discrete-time Markov processes on general state spaces (60J05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
Related Items
Some recent research in the analysis of mixture distributions ⋮ Parameter estimation of Markov switching bilinear model using the (EM) algorithm ⋮ Computational issues in parameter estimation for hidden Markov models with template model builder ⋮ Spectral and graph-theoretic bounds on steady-state-probability estimation performance for an ergodic Markov chain ⋮ Parameter estimation for hidden Gibbs chains ⋮ Parameter estimation in a condition-based maintenance model ⋮ Elderly-falling detection using distributed direction-sensitive pyroelectric infrared sensor arrays ⋮ Invited paper: Automatic speech recognition: History, methods and challenges ⋮ Parameter estimation for partially observable systems subject to random failure ⋮ Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees ⋮ The well-designed logical robot: learning and experience from observations to the Situation Calculus ⋮ HMMs for diagnostics and prognostics in machining processes ⋮ The influence of initial conditions on maximum likelihood estimation of the parameters of a binary hidden Markov model ⋮ Analysis of time series subject to changes in regime ⋮ Penalized maximum-likelihood estimation, the Baum-Welch algorithm, diagonal balancing of symmetric matrices and applications to training acoustic data