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The quest for the right kernel in Bayesian impulse response identification: The use of OBFs., , and . Autom., (2018)A stable spline convex approach to hybrid systems identification., and . MLSP, page 1-6. IEEE, (2016)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)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)Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint., , , , and . Autom., (2016)Closed-form expressions and nonparametric estimation of COVID-19 infection rate., , and . Autom., (2022)Fast computation of smoothing splines subject to equality constraints., and . Autom., 45 (12): 2842-2849 (2009)Maximum Entropy vector kernels for MIMO system identification., , and . Autom., (2017)