Spline‐based nonparametric inference in general state‐switching models

Roland Langrock, Timo Adam, Vianey Leos‐Barajas, Sina Mews, David L. Miller and Yannis P. Papastamatiou

Statistica Neerlandica, 2018, vol. 72, issue 3, 179-200

Abstract: State‐switching models combine immense flexibility with relative mathematical simplicity and computational tractability and, as a consequence, have established themselves as general‐purpose models for time series data. In this paper, we provide an overview of ways to use penalized splines to allow for flexible nonparametric inference within state‐switching models, and provide a critical discussion of the use of corresponding classes of models. The methods are illustrated using animal acceleration data and energy price data.

Date: 2018
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https://doi.org/10.1111/stan.12133

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