Retrospective exact simulation of diffusion sample paths with applications, Bernoulli, vol.12, issue.6, pp.1077-1098, 2006. ,
Smoothing algorithms for state-space models, Annals of the Institute of Statistical Mathematics, vol.62, issue.1, p.61, 2010. ,
Online EM algorithm for hidden Markov models, Journal of Computational and Graphical Statistics, vol.20, issue.3, pp.728-749, 2011. ,
Inference in Hidden Markov Models, 2005. ,
Inference in Hidden Markov Models (Springer Series in Statistics), 2005. ,
Wavelet-based statistical signal processing using hidden Markov models, IEEE Transactions on Signal Processing, vol.46, issue.4, pp.886-902, 1998. ,
Estimation of the coefficients of a diffusion from discrete observations, Stochastics: An International Journal of Probability and Stochastic Processes, vol.19, issue.4, pp.263-284, 1986. ,
Feynman-Kac Formulae. Genealogical and Interacting Particle Systems with Applications, 2004. ,
A Backward Particle Interpretation of Feynman-Kac Formulae, ESAIM, vol.2, issue.5, pp.947-975, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00410165
Uniform stability of a particle approximation of the optimal filter derivative, SIAM Journal on Control and Optimization, vol.53, pp.1278-1304, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00642618
Sequential Monte Carlo smoothing for general state space hidden Markov models, Ann. Appl. Probab, vol.21, issue.6, pp.2109-2145, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00839311
Asymptotics of the maximum likelihood estimator for general hidden Markov models, Bernoulli, vol.7, pp.381-420, 2001. ,
Limit theorems for weighted samples with applications to sequential monte carlo methods, Ann. Statist, vol.36, issue.5, pp.2344-2376, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01372025
Nonlinear time series: theory, methods and applications with R examples, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01263245
On sequential monte carlo sampling methods for bayesian filtering, Statistics and computing, vol.10, issue.3, pp.197-208, 2000. ,
Fast computation of smoothed additive functionals in general state-space models, IEEE Statistical Signal Processing Workshop (SSP), pp.197-200, 2011. ,
Non-asymptotic deviation inequalities for smoothed additive functionals in nonlinear state-space models, Bernoulli, vol.19, issue.5B, pp.2222-2249, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00548092
Particle filters for partially observed diffusions, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.70, issue.4, pp.755-777, 2008. ,
A sequential smoothing algorithm with linear computational cost, Biometrika, vol.97, issue.2, pp.447-464, 2010. ,
Convergence of sequential quasi-Monte Carlo smoothing algorithms, Bernoulli, vol.23, issue.4B, pp.2951-2987, 2017. ,
Online Sequential Monte Carlo smoother for partially observed stochastic differential equations, EURASIP Journal on Advances in Signal Processing, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01483481
Novel approach to nonlinear/nongaussian bayesian state estimation, IEE proceedings F (radar and signal processing, vol.140, pp.107-113, 1993. ,
Stochastic Approximation Algorithms and Applications, 1997. ,
Recursive estimation in HMMs, Proc. IEEE Conf. Decis. Control, pp.3468-3473, 1997. ,
On the two-filter approximations of marginal smoothing distributions in general state-space models, Advances in Applied Probability, vol.50, issue.1, pp.154-177, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01319747
Particle-based, online estimation of tangent filters with application to parameter estimation in nonlinear state-space models, 2017. ,
Particle-based likelihood inference in partially observed diffusion processes using generalised Poisson estimators, Electron. J. Statist, vol.5, pp.1090-1122, 2011. ,
Efficient particle-based online smoothing in general hidden markov models: The PaRIS algorithm, Bernoulli, vol.23, issue.3, pp.1951-1996, 2017. ,
Filtering via simulation: Auxiliary particle filters, J. Am. Statist. Assoc, vol.94, issue.446, pp.590-599, 1999. ,
Acceleration of stochastic approximation by averaging, SIAM J. Control Optim, vol.30, issue.4, pp.838-855, 1992. ,
A tutorial on hidden markov models and selected applications in speech recognition, Proceedings of the IEEE, pp.257-286, 1989. ,
Bayesian Filtering and Smoothing, 2013. ,
Rao-Blackwellized particle filter for multiple target tracking, Inofrmation Fusion, vol.8, issue.1, pp.2-15, 2007. ,
Analyticity, convergence, and convergence rate of recursive maximum-likelihood estimation in hidden Markov models, IEEE Transactions on Information Theory, vol.56, pp.6406-6432, 2010. ,
Variational inference for coupled hidden markov models applied to the joint detection of copy number variations, The International Journal of Biostatistics, p.15, 2017. ,
Bayesian non-parametric hidden Markov models with applications in genomics, vol.73, pp.1-21, 2011. ,
Hidden Markov models for time series: an introduction using R, 2016. ,