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Theory of angular depth for classification of directional data
Stanislav Nagy, Houyem Demni, Davide Buttarazzi and Giovanni C. Porzio Advances in Data Analysis and Classification 18(3) 627 (2024) https://doi.org/10.1007/s11634-023-00557-3
Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces
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
On depth-based fuzzy trimmed means and a notion of depth specifically defined for fuzzy numbers
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
Flexible integrated functional depths
Stanislav Nagy, Sami Helander, Germain Van Bever, Lauri Viitasaari and Pauliina Ilmonen Bernoulli 27(1) (2021) https://doi.org/10.3150/20-BEJ1254
Detecting a structural change in functional time series using local Wilcoxon statistic
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
Integrated depth for measurable functions and sets