Discrete-Time Expectation Maximization Algorithms for Markov-Modulated Poisson Processes
From MaRDI portal
Publication:4974121
DOI10.1109/TAC.2007.914305zbMath1367.62246OpenAlexW2121909976MaRDI QIDQ4974121
No author found.
Publication date: 8 August 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2007.914305
Inference from stochastic processes and prediction (62M20) Point estimation (62F10) Markov processes: estimation; hidden Markov models (62M05)
Related Items (6)
Explicit Forward Recursive Estimators for Markov Modulated Markov Processes ⋮ EM algorithm for Markov chains observed via Gaussian noise and point process information: theory and case studies ⋮ An expectation maximization algorithm to model failure times by continuous-time Markov chains ⋮ A Poisson-fault model for testing power transformers in service ⋮ Portfolio Optimization for a Large Investor Controlling Market Sentiment Under Partial Information ⋮ Data-driven modeling of the temporal evolution of breakers' states in the French electrical transmission grid
This page was built for publication: Discrete-Time Expectation Maximization Algorithms for Markov-Modulated Poisson Processes