Local Spectral Analysis via a Bayesian Mixture of Smoothing Splines
By Ori Rosen, David S. Stoffer, Sally Wood. 2009
54 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability, Signal Processing
View Paper: https://www.semanticscholar.org/paper/e43417beda4fdaf8a588061c1b450a66cf8535e7
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Citations in the corpus
- A test for second‐order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series (2013, background): “…footage from Rugby Union broadcasts in Davies and Bland (2010), in speech processing, see Spanias et al. (1993), and several examples in the statistical literature: Adak (1998), Ombao et al. (2001, 2002), Davis et al. (2006), Draghicescu et al. (2009) and Rosen et al. (2009), to name but a few.”
- Editorial: Special issue on time series analysis in the biological sciences (2012, methodology): “…have been proposed, the locally stationary Fourier-based model of Priestley (1965) and Dahlhaus (1997), the locally stationary wavelets model in Nason et al. (2000), the SLEX (smooth localized Fourier) model in Ombao et al. (2005), and a local spline approach taken in Rosen et al. (2009).”