, Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models, IEEE Transactions on Automatic Control, vol.60, issue.4, pp.1104-1109, 2015.
DOI : 10.1109/TAC.2014.2340591
URL : https://hal.archives-ouvertes.fr/hal-01157814
, Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems, IEEE Signal Processing Letters, vol.20, issue.7, pp.701-704, 2013.
DOI : 10.1109/LSP.2013.2261494
URL : https://hal.archives-ouvertes.fr/hal-00830241
, Kalman filtering using pairwise Gaussian models, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.57-60, 2003.
DOI : 10.1109/ICASSP.2003.1201617
, Bayesian smoothing algorithms in pairwise and triplet markov chains, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, pp.721-726, 2005.
DOI : 10.1109/SSP.2005.1628688
, Unsupervised Signal Restoration in Partially Observed Markov Chains The EM Algorithm and Extensions, III-III, 2006.
, Robust Blind Pairwise Kalman Algorithms Using QR Decompositions, IEEE Transactions on Signal Processing, vol.61, issue.1, pp.5-9, 2013.
DOI : 10.1109/TSP.2012.2222383
, Maximum Likelihood from Incomplete Data via the EM Algorithm Particle Filters for State Etimation of Jump Markov Linear Systems, 11] B. Ristic, S. Arulampalam, and N. Gordon. Beyond the Kalman Filter: Particle Filters for Tracking Applications, pp.1-38, 1977.
, Exact Fast Smoothing in Switching Models with Application to Stochastic Volatility, Eusipco conference [13] S. Derrode and W. Pieczynski, Signal and Image Segmentation using Pairwise Markov Chains A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, 15] S. Derrode and W. Pieczynski, Unsupervised Classification using Hidden Markov Chain with Unknown Noise Copulas and Margins, pp.2477-89, 1970.