IDEAS home Printed from https://ideas.repec.org/r/eee/csdana/v120y2018icp42-57.html

Skewness-based projection pursuit: A computational approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Abdi, Me’raj & Madadi, Mohsen & Balakrishnan, Narayanaswamy & Jamalizadeh, Ahad, 2021. "Family of mean-mixtures of multivariate normal distributions: Properties, inference and assessment of multivariate skewness," Journal of Multivariate Analysis, Elsevier, vol. 181(C).
  2. Adcock, C.J., 2026. "Skewness and kurtosis projection pursuit for the multivariate extended skew-normal and skew-Student distributions," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  3. Jorge M. Arevalillo & Hilario Navarro, 2020. "Data projections by skewness maximization under scale mixtures of skew-normal vectors," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 435-461, June.
  4. Chowdhury, Joydeep & Dutta, Subhajit & Arellano-Valle, Reinaldo B. & Genton, Marc G., 2022. "Sub-dimensional Mardia measures of multivariate skewness and kurtosis," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
  5. Warth, Oliver & Dümbgen, Lutz, 2026. "Projection pursuit via kernel mean embeddings," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  6. Loperfido, Nicola, 2024. "The skewness of mean–variance normal mixtures," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
  7. Lee, Sharon X. & McLachlan, Geoffrey J., 2022. "An overview of skew distributions in model-based clustering," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
  8. Yuelong Su & Yucheng Liu & Yong Zhou & Jiakang Liu, 2024. "Research on the Coupling and Coordination of Land Ecological Security and High-Quality Agricultural Development in the Han River Basin," Land, MDPI, vol. 13(10), pages 1-28, October.
  9. Jorge M. Arevalillo & Hilario Navarro, 2021. "Skewness-Kurtosis Model-Based Projection Pursuit with Application to Summarizing Gene Expression Data," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
  10. Dyckerhoff, Rainer & Mozharovskyi, Pavlo & Nagy, Stanislav, 2021. "Approximate computation of projection depths," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
  11. Ursula Laa & Dianne Cook, 2020. "Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics," Computational Statistics, Springer, vol. 35(3), pages 1171-1205, September.
  12. Arevalillo, Jorge M. & Navarro, Hilario, 2026. "On the fourth cumulant tensor in projection pursuit for a flexible class of skewed models," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  13. Nicola Loperfido, 2024. "Tensor eigenvectors for projection pursuit," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 453-472, June.
  14. Chunming Zhang & Jimin Ye & Xiaomei Wang, 2023. "A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction," International Statistical Review, International Statistical Institute, vol. 91(1), pages 140-161, April.
  15. Loperfido, Nicola, 2021. "Some theoretical properties of two kurtosis matrices, with application to invariant coordinate selection," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
  16. Nicola Loperfido & Tomer Shushi, 2023. "Optimal Portfolio Projections for Skew-Elliptically Distributed Portfolio Returns," Journal of Optimization Theory and Applications, Springer, vol. 199(1), pages 143-166, October.
  17. Ortiz, Santiago & Laniado, Henry & Peña, Daniel & Prieto, Francisco J., 2026. "Dimension reduction for outlier detection in high-dimensional data," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  18. Jorge Navarro & Jorge M Arevalillo, 2023. "On connections between skewed, weighted and distorted distributions: applications to model extreme value distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(4), pages 1307-1335, December.
  19. Shushi, Tomer, 2018. "A proof for the existence of multivariate singular generalized skew-elliptical density functions," Statistics & Probability Letters, Elsevier, vol. 141(C), pages 50-55.
  20. Vincenzo Basile & Stefano Cervellera & Carlo Cusatelli & Massimiliano Giacalone, 2024. "Top–down disaggregation of life expectancy up to municipal areas, using linear self-regressive spatial models," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3703-3724, August.
  21. Daniel Rojas-Diaz & Alexandra Catano-Lopez & Carlos M. Vélez & Santiago Ortiz & Henry Laniado, 2024. "Confidence sub-contour box: an alternative to traditional confidence intervals," Computational Statistics, Springer, vol. 39(5), pages 2821-2858, July.
  22. Eppert, Martin & Mukherjee, Satyaki & Ghoshdastidar, Debarghya, 2026. "Recovering Imbalanced Clusters via gradient-based projection pursuit," Journal of Multivariate Analysis, Elsevier, vol. 212(C).
  23. Nicola Loperfido, 2019. "Finite mixtures, projection pursuit and tensor rank: a triangulation," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 145-173, March.
  24. Becquart, Colombe & Archimbaud, Aurore & Ruiz-Gazen, Anne & Prilć, Luka & Nordhausen, Klaus, 2026. "Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  25. Mukherjee, Satyaki & Mukherjee, Soumendu Sundar & Ghoshdastidar, Debarghya, 2026. "Wasserstein projection pursuit of non-Gaussian signals," Journal of Multivariate Analysis, Elsevier, vol. 212(C).
  26. Daniel A. Griffith, 2022. "Selected Payback Statistical Contributions to Matrix/Linear Algebra: Some Counterflowing Conceptualizations," Stats, MDPI, vol. 5(4), pages 1-16, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.