Journal ArticleDOI
Analysis of Time Series Structure SSA and Related Techniques
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TLDR
MRPPs are applied in least absolute distance (LAD) regression, randomized block experimental designs, goodness-of- t tests, and traditional and generalized contingency tables and serve as a nonparametric and versatile alternative tools to many traditional statistical approaches.Citations
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Ecological thresholds and regime shifts: approaches to identification.
TL;DR: The objective is to raise awareness on the range of techniques available, and to their principles and limitations, to promote a more operational approach to the identification of ecological thresholds and regime shifts.
Journal ArticleDOI
TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise
TL;DR: A general framework, termed TROIKA, is proposed, which consists of signal decomposiTion for denoising, sparse signal RecOnstructIon for high-resolution spectrum estimation, and spectral peaK trAcking with verification and many variants can be straightforwardly derived from this framework.
Journal ArticleDOI
Atomic Norm Denoising With Applications to Line Spectral Estimation
TL;DR: It is demonstrated that the SDP outperforms the l1 optimization which outperforms MUSIC, Cadzow's, and Matrix Pencil approaches in terms of MSE over a wide range of signal-to-noise ratios.
Book
A matrix handbook for statisticians
TL;DR: An essential, one-of-a-kind book for graduate-level courses in advanced statistical studies including linear and nonlinear models, multivariate analysis, and statistical computing, and it also serves as an excellent self-study guide for statistical researchers.
Journal ArticleDOI
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology
Matthias Forkel,Nuno Carvalhais,Jan Verbesselt,Miguel D. Mahecha,Christopher S.R. Neigh,Markus Reichstein +5 more
TL;DR: A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates, and gives practical recommendations for the application of trend methods on long-term NDVI time series.