Robust normality transformation for outlier detection in diverse distributions, with application to functional neuroimaging data
Fuente:
arXiv
Guardado en:
| Autores principales: | Saluja, Saranjeet Singh, Parlak, Fatma, Mejia, Amanda |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Minimum regularized covariance trace estimator and outlier detection for functional data
por: Oguamalam, Jeremy, et al.
Publicado: (2023)
por: Oguamalam, Jeremy, et al.
Publicado: (2023)
Robust covariance estimation and explainable outlier detection for matrix-valued data
por: Mayrhofer, Marcus, et al.
Publicado: (2024)
por: Mayrhofer, Marcus, et al.
Publicado: (2024)
Area-based epigraph and hypograph indices for functional outlier detection
por: Pulido, Belen, et al.
Publicado: (2025)
por: Pulido, Belen, et al.
Publicado: (2025)
Cellwise outlier detection in heterogeneous populations
por: Zaccaria, Giorgia, et al.
Publicado: (2024)
por: Zaccaria, Giorgia, et al.
Publicado: (2024)
Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations
por: Merchanskaya, Oliver Polushkina, et al.
Publicado: (2024)
por: Merchanskaya, Oliver Polushkina, et al.
Publicado: (2024)
Robust fuzzy clustering with cellwise outliers
por: Zaccaria, Giorgia, et al.
Publicado: (2025)
por: Zaccaria, Giorgia, et al.
Publicado: (2025)
Online robust covariance matrix estimation and outlier detection
por: Guillot, Paul, et al.
Publicado: (2026)
por: Guillot, Paul, et al.
Publicado: (2026)
An empirical comparison of some outlier detection methods with longitudinal data
por: D'Orazio, Marcello
Publicado: (2025)
por: D'Orazio, Marcello
Publicado: (2025)
ICS for complex data with application to outlier detection for density data
por: Mondon, Camille, et al.
Publicado: (2025)
por: Mondon, Camille, et al.
Publicado: (2025)
Spatially smoothed robust covariance estimation for local outlier detection
por: Puchhammer, Patricia, et al.
Publicado: (2023)
por: Puchhammer, Patricia, et al.
Publicado: (2023)
A spatio-temporal model to detect potential outliers in disease mapping
por: Michal, Victoire, et al.
Publicado: (2024)
por: Michal, Victoire, et al.
Publicado: (2024)
Robust outlier-adjusted mean-shift estimation of state-space models
por: Shankar, Rajan, et al.
Publicado: (2025)
por: Shankar, Rajan, et al.
Publicado: (2025)
ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
por: Tong, Tiejun, et al.
Publicado: (2026)
por: Tong, Tiejun, et al.
Publicado: (2026)
When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
por: Lin, Hongmei, et al.
Publicado: (2025)
por: Lin, Hongmei, et al.
Publicado: (2025)
DOD: Detection of outliers in high dimensional data with distance of distances
por: Lee, Seong-ho, et al.
Publicado: (2025)
por: Lee, Seong-ho, et al.
Publicado: (2025)
Rank-adaptive covariance testing with applications to genomics and neuroimaging
por: Veitch, David, et al.
Publicado: (2023)
por: Veitch, David, et al.
Publicado: (2023)
Challenges of cellwise outliers
por: Raymaekers, Jakob, et al.
Publicado: (2023)
por: Raymaekers, Jakob, et al.
Publicado: (2023)
Topological data analysis for random sets and its application in detecting outliers and goodness of fit testing
por: Đogaš, Vesna Gotovac, et al.
Publicado: (2024)
por: Đogaš, Vesna Gotovac, et al.
Publicado: (2024)
The projected isotropic normal distribution with applications in neuroscience
por: Mardia, Kanti V., et al.
Publicado: (2026)
por: Mardia, Kanti V., et al.
Publicado: (2026)
Multiple change point detection in functional data with applications to biomechanical fatigue data
por: Bastian, Patrick, et al.
Publicado: (2023)
por: Bastian, Patrick, et al.
Publicado: (2023)
Flexible model for varying levels of zeros and outliers in count data
por: Ahmad, Touqeer, et al.
Publicado: (2025)
por: Ahmad, Touqeer, et al.
Publicado: (2025)
Robust changepoint detection in the variability of multivariate functional data
por: Ramsay, Kelly, et al.
Publicado: (2021)
por: Ramsay, Kelly, et al.
Publicado: (2021)
A novel robust meta-analysis model using the $t$ distribution for outlier accommodation and detection
por: Wang, Yue, et al.
Publicado: (2024)
por: Wang, Yue, et al.
Publicado: (2024)
MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multi-way data
por: Hubert, Mia, et al.
Publicado: (2023)
por: Hubert, Mia, et al.
Publicado: (2023)
A robust contaminated discrete Weibull regression model for outlier-prone count data
por: Burger, Divan A., et al.
Publicado: (2025)
por: Burger, Divan A., et al.
Publicado: (2025)
The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model
por: Guastadisegni, Lucia, et al.
Publicado: (2024)
por: Guastadisegni, Lucia, et al.
Publicado: (2024)
Reconciliating Bayesian and frequentist approaches to robustness against outliers
por: Gagnon, Philippe, et al.
Publicado: (2024)
por: Gagnon, Philippe, et al.
Publicado: (2024)
Highly robust factored principal component analysis for matrix-valued outlier accommodation and explainable detection via matrix minimum covariance determinant
por: Wu, Wenhui, et al.
Publicado: (2025)
por: Wu, Wenhui, et al.
Publicado: (2025)
A new block covariance regression model and inferential framework for massively large neuroimaging data
por: Kim, Hyoshin, et al.
Publicado: (2025)
por: Kim, Hyoshin, et al.
Publicado: (2025)
Robust functional PCA for relative data
por: Oguamalam, Jeremy, et al.
Publicado: (2024)
por: Oguamalam, Jeremy, et al.
Publicado: (2024)
On the distribution of isometric log-ratio transformations under extra-multinomial count data
por: Kartiosuo, Noora, et al.
Publicado: (2024)
por: Kartiosuo, Noora, et al.
Publicado: (2024)
Sparse outlier-robust PCA for multi-source data
por: Puchhammer, Patricia, et al.
Publicado: (2024)
por: Puchhammer, Patricia, et al.
Publicado: (2024)
Robust measures of dispersion for circular data with an anomaly detection rule
por: Demni, Houyem, et al.
Publicado: (2026)
por: Demni, Houyem, et al.
Publicado: (2026)
Handling cellwise outliers by sparse regression and robust covariance
por: Raymaekers, Jakob, et al.
Publicado: (2019)
por: Raymaekers, Jakob, et al.
Publicado: (2019)
On parameter estimation for the truncated skew-normal distribution
por: Seo, Kwangok, et al.
Publicado: (2026)
por: Seo, Kwangok, et al.
Publicado: (2026)
Comments on "Challenges of cellwise outliers" by Jakob Raymaekers and Peter J. Rousseeuw
por: Agostinelli, Claudio
Publicado: (2026)
por: Agostinelli, Claudio
Publicado: (2026)
Regression models for binary data with scale mixtures of centered skew-normal link functions
por: de Freitas, João Victor B., et al.
Publicado: (2024)
por: de Freitas, João Victor B., et al.
Publicado: (2024)
Functional principal component analysis for functional data with detection limits
por: Liu, Haiyan, et al.
Publicado: (2025)
por: Liu, Haiyan, et al.
Publicado: (2025)
Constrained mixtures of generalized normal distributions
por: Duttilo, Pierdomenico, et al.
Publicado: (2025)
por: Duttilo, Pierdomenico, et al.
Publicado: (2025)
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
por: Lautier, Jackson P., et al.
Publicado: (2021)
por: Lautier, Jackson P., et al.
Publicado: (2021)
Ejemplares similares
-
Minimum regularized covariance trace estimator and outlier detection for functional data
por: Oguamalam, Jeremy, et al.
Publicado: (2023) -
Robust covariance estimation and explainable outlier detection for matrix-valued data
por: Mayrhofer, Marcus, et al.
Publicado: (2024) -
Area-based epigraph and hypograph indices for functional outlier detection
por: Pulido, Belen, et al.
Publicado: (2025) -
Cellwise outlier detection in heterogeneous populations
por: Zaccaria, Giorgia, et al.
Publicado: (2024) -
Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations
por: Merchanskaya, Oliver Polushkina, et al.
Publicado: (2024)