10 citations · 38 across the 25 of their papers we have counts for
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math.ST2016
Empirical risk minimization and complexity of dynamical models
Kevin McGoff, Andrew B. Nobel
A dynamical model consists of a continuous self-map of a compact state space and a continuous observation function $f: \mathcal{X} \t…
math.DS2016★ 1 cited
Factoring onto subshifts with the finite extension property
Raimundo Briceño, Kevin McGoff, Ronnie Pavlov
We define the finite extension property for -dimensional subshifts, which generalizes the topological strong spatial mixing condition defined by Briceño (2016), and we prove tha…
math.DS2016★ 2 cited
Variational analysis of inference from dynamical systems
Kevin McGoff, Andrew B. Nobel
We introduce and study a variational framework for the analysis of empirical risk based inference for dynamical systems and ergodic processes. The analysis applies to a two-stage e…