arXiv Open Access 2016

Modeling and Estimation of Discrete-Time Reciprocal Processes via Probabilistic Graphical Models

Francesca Paola Carli

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Abstrak

Reciprocal processes are acausal generalizations of Markov processes introduced by Bernstein in 1932. In the literature, a significant amount of attention has been focused on developing dynamical models for reciprocal processes. In this paper, we provide a probabilistic graphical model for reciprocal processes. This leads to a principled solution of the smoothing problem via message passing algorithms. For the finite state space case, convergence analysis is revisited via the Hilbert metric.

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stat.ML math.OC

Penulis (1)

Francesca Paola Carli

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Carli, F.P. (2016). Modeling and Estimation of Discrete-Time Reciprocal Processes via Probabilistic Graphical Models. https://arxiv.org/abs/1603.04419

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓