Cover Image

Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bordoloi, Rahul, Réda, Clémence, Trautmann, Orell, Bej, Saptarshi, Wolkenhauer, Olaf
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Statistics Theory 62R10 (Primary), 62R07 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

D-optimal Subsampling Design for Massive Data Linear Regression
by: Glemser, Torsten, et al.
Published: (2023)

Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
by: Ashraf, Shaista, et al.
Published: (2026)

Pathological Regularization Regimes in Classification Tasks
by: Wiesmann, Maximilian, et al.
Published: (2024)

Improving variable selection properties with data integration and transfer learning
by: Rognon-Vael, Paul, et al.
Published: (2025)

Poisson Regression in one Covariate on Massive Data
by: Reuter, Torsten, et al.
Published: (2024)

A Survey of Dimension Estimation Methods
by: Binnie, James A. D., et al.
Published: (2025)

seMCD: Sequentially implemented Monte Carlo depth computation with statistical guarantees
by: Gnettner, Felix, et al.
Published: (2025)

Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)

General M-estimators of location on Riemannian manifolds: existence and uniqueness
by: Lee, Jongmin, et al.
Published: (2025)

Strong consistency of the local linear estimator for a generalized regression function with dependent functional data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)

Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025)

Markov Combinations of Discrete Statistical Models
by: Marigliano, Orlando, et al.
Published: (2025)

Tensor Factor Model Estimation by Iterative Projection
by: Han, Yuefeng, et al.
Published: (2020)

A two-way heterogeneity model for dynamic networks
by: Jiang, Binyan, et al.
Published: (2023)

Horospherical Depth and Busemann Median on Hadamard Manifolds
by: Jiang, Yangdi, et al.
Published: (2026)

Stable and consistent density-based clustering via multiparameter persistence
by: Rolle, Alexander, et al.
Published: (2020)

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise
by: Li, Keyi, et al.
Published: (2025)

Estimating a density near an unknown manifold: a Bayesian nonparametric approach
by: Berenfeld, Clément, et al.
Published: (2022)

Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
by: Zhang, Yikun, et al.
Published: (2023)

Kernel Stein Discrepancy on Lie Groups: Theory and Applications
by: Qu, Xiaoda, et al.
Published: (2023)

Optimal break tests for large linear time series models
by: Gupta, Abhimanyu, et al.
Published: (2025)

Applications of Entropy in Data Analysis and Machine Learning: A Review
by: Fontaine, Salomé A. Sepúveda, et al.
Published: (2025)

Principal Curves In Metric Spaces And The Space Of Probability Measures
by: Warren, Andrew, et al.
Published: (2025)

ICS for complex data with application to outlier detection for density data
by: Mondon, Camille, et al.
Published: (2025)

Multiscale Change Point Detection for Functional Time Series
by: Kutta, Tim, et al.
Published: (2025)

Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
by: Hejný, Ivan, et al.
Published: (2025)

Subbagging Variable Selection for Big Data
by: Li, Xian, et al.
Published: (2025)

Complete Asymptotic Expansions for the Normalizing Constants of High-Dimensional Matrix Bingham and Matrix Langevin Distributions
by: Bagyan, Armine, et al.
Published: (2024)

Optimal designs for discrete choice models via graph Laplacians
by: Röttger, Frank, et al.
Published: (2022)

Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
by: Bladen, Kelvyn K., et al.
Published: (2025)

Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
by: Mou, Fuming Lin WEilin
Published: (2025)

Pattern recovery by SLOPE
by: Bogdan, Małgorzata, et al.
Published: (2022)

Quadratic functional estimation from observations with multiplicative measurement error
by: Neubert, Bianca, et al.
Published: (2024)

Controlling the False Discovery Rate in Subspace Selection
by: Díaz, Mateo, et al.
Published: (2024)

Wavelet-Based Density Estimation for Persistent Homology
by: Häberle, Konstantin, et al.
Published: (2023)

Graphical view on linear extensions of finite posets
by: Studený, Milan, et al.
Published: (2025)

A Deep Generative Approach to Stratified Learning
by: Martinez, Randy, et al.
Published: (2026)

A Note on Local Linear Regression for Time Series in Banach Spaces
by: Heinrichs, Florian
Published: (2025)

Sampling lattice points in a polytope: a Bayesian biased algorithm with random updates
by: Bakenhus, Miles, et al.
Published: (2023)

Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
by: Baraud, Y., et al.
Published: (2022)