Uniform convergence over time of a nested particle filtering scheme for recursive parameter estimation in state-space Markov models

Dan Crisan, Joaquín Míguez: Uniform convergence over time of a nested particle filtering scheme for recursive parameter estimation in state-space Markov models. En: Advances in Applied Probability, vol. 49, no 4, pp. 1170–1200, 2017.

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@article{crisan_m\'{i}guez_2017,
title = {Uniform convergence over time of a nested particle filtering scheme for recursive parameter estimation in state-space Markov models},
author = {Dan Crisan and Joaqu\'{i}n M\'{i}guez},
doi = {10.1017/apr.2017.38},
year  = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {Advances in Applied Probability},
volume = {49},
number = {4},
pages = {1170\textendash1200},
publisher = {Cambridge University Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}