Canonical Tail Dependence for Soft Extremal Clustering of Multichannel Brain Signals
Fuente:
arXiv
Saved in:
| Main Authors: | Talento, Mara Sherlin, Richards, Jordan, Huser, Raphael, Ombao, Hernando |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spectral Extremal Connectivity of Two-State Seizure Brain Waves
by: Talento, Mara Sherlin D., et al.
Published: (2025)
by: Talento, Mara Sherlin D., et al.
Published: (2025)
Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
by: Ma, Ziling, et al.
Published: (2025)
by: Ma, Ziling, et al.
Published: (2025)
Modeling Nonstationary Extremal Dependence via Deep Spatial Deformations
by: Shao, Xuanjie, et al.
Published: (2025)
by: Shao, Xuanjie, et al.
Published: (2025)
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks
by: Richards, Jordan, et al.
Published: (2022)
by: Richards, Jordan, et al.
Published: (2022)
KenCoh: A Ranked-Based Canonical Coherence
by: Talento, Mara Sherlin D., et al.
Published: (2024)
by: Talento, Mara Sherlin D., et al.
Published: (2024)
Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals
by: Redondo, Paolo Victor, et al.
Published: (2022)
by: Redondo, Paolo Victor, et al.
Published: (2022)
Nonlinear Coherence for Vector Time Series: Defining Region-to-Region Functional Brain Connectivity
by: Redondo, Paolo Victor, et al.
Published: (2025)
by: Redondo, Paolo Victor, et al.
Published: (2025)
Measuring Information Transfer Between Nodes in a Brain Network through Spectral Transfer Entropy
by: Redondo, Paolo Victor, et al.
Published: (2023)
by: Redondo, Paolo Victor, et al.
Published: (2023)
Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties
by: Shao, Xuanjie, et al.
Published: (2022)
by: Shao, Xuanjie, et al.
Published: (2022)
Deep graphical regression for jointly moderate and extreme Australian wildfires
by: Cisneros, Daniela, et al.
Published: (2023)
by: Cisneros, Daniela, et al.
Published: (2023)
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
Neural Bayes estimators for censored inference with peaks-over-threshold models
by: Richards, Jordan, et al.
Published: (2023)
by: Richards, Jordan, et al.
Published: (2023)
Forecasting Multivariate Time Series under Predictive Heterogeneity: A Validation-Driven Clustering Framework
by: Ma, Ziling, et al.
Published: (2026)
by: Ma, Ziling, et al.
Published: (2026)
Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)
by: Richards, Jordan, et al.
Published: (2024)
The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency
by: Jiang, Junshu, et al.
Published: (2024)
by: Jiang, Junshu, et al.
Published: (2024)
Emergent Granger Causality in Neural Networks: Can Prediction Alone Reveal Structure?
by: Sultan, Malik Shahid, et al.
Published: (2025)
by: Sultan, Malik Shahid, et al.
Published: (2025)
Granger Causality using Neural Networks
by: Sultan, Malik Shahid, et al.
Published: (2022)
by: Sultan, Malik Shahid, et al.
Published: (2022)
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
by: Roy, Sarbojit, et al.
Published: (2024)
by: Roy, Sarbojit, et al.
Published: (2024)
Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data
by: Gauran, Iris Ivy, et al.
Published: (2024)
by: Gauran, Iris Ivy, et al.
Published: (2024)
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
by: Dahal, Ashok, et al.
Published: (2024)
by: Dahal, Ashok, et al.
Published: (2024)
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
by: Noman, Fuad, et al.
Published: (2021)
by: Noman, Fuad, et al.
Published: (2021)
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
by: Tew, Hwa Hui, et al.
Published: (2025)
by: Tew, Hwa Hui, et al.
Published: (2025)
SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation
by: Tan, Yee-Fan, et al.
Published: (2025)
by: Tan, Yee-Fan, et al.
Published: (2025)
Robust fuzzy clustering for high-dimensional multivariate time series with outlier detection
by: Ma, Ziling, et al.
Published: (2025)
by: Ma, Ziling, et al.
Published: (2025)
Simulation-based inference via telescoping ratio estimation for trawl processes
by: Leonte, Dan, et al.
Published: (2025)
by: Leonte, Dan, et al.
Published: (2025)
Neural Methods for Amortized Inference
by: Zammit-Mangion, Andrew, et al.
Published: (2024)
by: Zammit-Mangion, Andrew, et al.
Published: (2024)
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
by: Ma, Ziling, et al.
Published: (2025)
by: Ma, Ziling, et al.
Published: (2025)
Statistics of Extremes for Neuroscience
by: Redondo, Paolo V., et al.
Published: (2024)
by: Redondo, Paolo V., et al.
Published: (2024)
Neural Conditional Simulation for Complex Spatial Processes
by: Walchessen, Julia, et al.
Published: (2025)
by: Walchessen, Julia, et al.
Published: (2025)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks
by: Bülte, Christopher, et al.
Published: (2024)
by: Bülte, Christopher, et al.
Published: (2024)
EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
by: Hasan, Mohammad Mehedi, et al.
Published: (2025)
by: Hasan, Mohammad Mehedi, et al.
Published: (2025)
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
by: Chuang, Chun-Hsiang, et al.
Published: (2024)
by: Chuang, Chun-Hsiang, et al.
Published: (2024)
Generative Learning of Heterogeneous Tail Dependence
by: Sun, Xiangqian, et al.
Published: (2020)
by: Sun, Xiangqian, et al.
Published: (2020)
Wavelet Canonical Coherence for Nonstationary Signals
by: Wu, Haibo, et al.
Published: (2025)
by: Wu, Haibo, et al.
Published: (2025)
Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
by: Karakasis, Paris A., et al.
Published: (2025)
by: Karakasis, Paris A., et al.
Published: (2025)
Neural Bayes estimation and selection for complex bivariate extremal dependence models
by: André, Lídia M., et al.
Published: (2025)
by: André, Lídia M., et al.
Published: (2025)
The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail
by: Goldberg, Cassandra, et al.
Published: (2025)
by: Goldberg, Cassandra, et al.
Published: (2025)
Separation-based causal discovery for extremes
by: Jiang, Junshu, et al.
Published: (2025)
by: Jiang, Junshu, et al.
Published: (2025)
Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
by: Tew, Hwa Hui, et al.
Published: (2026)
by: Tew, Hwa Hui, et al.
Published: (2026)
Similar Items
-
Spectral Extremal Connectivity of Two-State Seizure Brain Waves
by: Talento, Mara Sherlin D., et al.
Published: (2025) -
Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
by: Ma, Ziling, et al.
Published: (2025) -
Modeling Nonstationary Extremal Dependence via Deep Spatial Deformations
by: Shao, Xuanjie, et al.
Published: (2025) -
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks
by: Richards, Jordan, et al.
Published: (2022) -
KenCoh: A Ranked-Based Canonical Coherence
by: Talento, Mara Sherlin D., et al.
Published: (2024)