Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Hespeler, Steven C., Moriano, Pablo, Li, Mingyan, Hollifield, Samuel C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
by: Moriano, Pablo, et al.
Published: (2024)
by: Moriano, Pablo, et al.
Published: (2024)
Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
by: Moriano, Pablo, et al.
Published: (2024)
by: Moriano, Pablo, 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)
An Empirical Study: Extensive Deep Temporal Point Process
by: Lin, Haitao, et al.
Published: (2021)
by: Lin, Haitao, et al.
Published: (2021)
An empirical comparison of some outlier detection methods with longitudinal data
by: D'Orazio, Marcello
Published: (2025)
by: D'Orazio, Marcello
Published: (2025)
Out-of-distribution robustness for multivariate analysis via causal regularisation
by: Durand, Homer, et al.
Published: (2024)
by: Durand, Homer, et al.
Published: (2024)
Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
by: Ondrus, Martin, et al.
Published: (2021)
by: Ondrus, Martin, et al.
Published: (2021)
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
by: Pasche, Olivier C., et al.
Published: (2022)
by: Pasche, Olivier C., et al.
Published: (2022)
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
by: Pasche, Olivier C., et al.
Published: (2025)
by: Pasche, Olivier C., et al.
Published: (2025)
Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)
by: Boschi, Martina, et al.
Published: (2025)
On cross-validation for small area estimators
by: Dong, Qianyu, et al.
Published: (2026)
by: Dong, Qianyu, et al.
Published: (2026)
Online detection of forecast model inadequacies using forecast errors
by: Grundy, Thomas, et al.
Published: (2025)
by: Grundy, Thomas, et al.
Published: (2025)
Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
by: Perrin, Valentine, et al.
Published: (2024)
by: Perrin, Valentine, et al.
Published: (2024)
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
A latent space model for multivariate count data time series analysis
by: Kaur, Hardeep, et al.
Published: (2024)
by: Kaur, Hardeep, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)
by: Pryce, Matthew, et al.
Published: (2026)
ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
by: Hammouri, Ziad Akram Ali, et al.
Published: (2025)
by: Hammouri, Ziad Akram Ali, et al.
Published: (2025)
Functional Analysis of Variance for Association Studies
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
Modelling non-stationary extremal dependence through a geometric approach
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
by: Dandapanthula, Sanjit, et al.
Published: (2026)
by: Dandapanthula, Sanjit, et al.
Published: (2026)
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
by: Quintero-Rincón, Antonio, et al.
Published: (2024)
by: Quintero-Rincón, Antonio, et al.
Published: (2024)
Variance reduction combining pre-experiment and in-experiment data
by: Lin, Zhexiao, et al.
Published: (2024)
by: Lin, Zhexiao, et al.
Published: (2024)
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
by: Lotspeich, Sarah C., et al.
Published: (2025)
by: Lotspeich, Sarah C., et al.
Published: (2025)
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024)
by: Shirakawa, Toru, et al.
Published: (2024)
Efficient Inference for Noisy LLM-as-a-Judge Evaluation
by: Chen, Yiqun T, et al.
Published: (2026)
by: Chen, Yiqun T, et al.
Published: (2026)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction
by: Kuriabov, Evgenii, et al.
Published: (2024)
by: Kuriabov, Evgenii, et al.
Published: (2024)
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
by: Pan, Jing, et al.
Published: (2025)
by: Pan, Jing, et al.
Published: (2025)
Investigating the performance of the Phase II Hotelling T2 chart when monitoring multivariate time series observations
by: Nadi, Adel Ahmadi, et al.
Published: (2025)
by: Nadi, Adel Ahmadi, et al.
Published: (2025)
Forecast reconciliation with non-linear constraints
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization
by: Wang, Yuheng, et al.
Published: (2024)
by: Wang, Yuheng, et al.
Published: (2024)
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)
by: Perkonoja, Katariina, et al.
Published: (2023)
Similar Items
-
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021) -
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
by: Moriano, Pablo, et al.
Published: (2024) -
Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
by: Moriano, Pablo, 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) -
An Empirical Study: Extensive Deep Temporal Point Process
by: Lin, Haitao, et al.
Published: (2021)