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Identification of stable models via nonparametric prediction error methods.

, , and . ECC, page 2044-2049. IEEE, (2015)

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A stable spline convex approach to hybrid systems identification., and . MLSP, page 1-6. IEEE, (2016)The quest for the right kernel in Bayesian impulse response identification: The use of OBFs., , and . Autom., (2018)Nonparametric sparse estimators for identification of large scale linear systems., and . CDC, page 2942-2947. IEEE, (2010)Machine learning meets Kalman Filtering., , , , and . CDC, page 4594-4599. IEEE, (2016)Linear system identification using stable spline kernels and PLQ penalties., , and . CDC, page 5168-5173. IEEE, (2013)On the design of multiple kernels for nonparametric linear system identification., , , and . CDC, page 3346-3351. IEEE, (2014)Regularized spectrum estimation in spaces induced by stable spline kernels., and . ACC, page 2695-2700. IEEE, (2012)Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator., and . ECC, page 2386-2391. IEEE, (2014)Consensus based estimation of anonymous networks size using Bernoulli trials., , and . ACC, page 2196-2201. IEEE, (2012)Multidimensional Newton-Raphson consensus for distributed convex optimization., , , , and . ACC, page 1079-1084. IEEE, (2012)