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Theory of angular depth for classification of directional data
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A high dimensional functional time series approach to evolution outlier detection for grouped smart meters
Integrated Depths for Partially Observed Functional Data
Antonio Elías, Raúl Jiménez, Anna M. Paganoni and Laura M. Sangalli Journal of Computational and Graphical Statistics 32(2) 341 (2023) https://doi.org/10.1080/10618600.2022.2070171
Depth-based reconstruction method for incomplete functional data
Detecting and classifying outliers in big functional data
Oluwasegun Taiwo Ojo, Antonio Fernández Anta, Rosa E. Lillo and Carlo Sguera Advances in Data Analysis and Classification 16(3) 725 (2022) https://doi.org/10.1007/s11634-021-00460-9
Choosing Among Notions of Multivariate Depth Statistics
Evaluating Proxy Influence in Assimilated Paleoclimate Reconstructions—Testing the Exchangeability of Two Ensembles of Spatial Processes
Trevor Harris, Bo Li, Nathan J. Steiger, Jason E. Smerdon, Naveen Narisetty and J. Derek Tucker Journal of the American Statistical Association 116(535) 1100 (2021) https://doi.org/10.1080/01621459.2020.1799810
GENERALIZED EXPONENTIAL SMOOTHING IN PREDICTION OF HIERARCHICAL TIME SERIES
Daniel Kosiorowski, Dominik Mielczarek, Jerzy P. Rydlewski and Małgorzata Snarska Statistics in Transition New Series 19(2) 331 (2018) https://doi.org/10.21307/stattrans-2018-019
Multivariate and functional classification using depth and distance