Latest Research in Methodology

Top Research Topics in Methodology

• Machine Learning — 8 papers
• Methodology — 6 papers
• Advanced Statistical Methods and Models — 1 papers
• Data Management and Algorithms — 1 papers
• Advanced Graph Neural Networks — 1 papers
• Data Analysis, Statistics and Probability — 1 papers
• Performance — 1 papers
• Databases — 1 papers

Highest-Cited Papers

1. Earth and space observations meet complex algebras: from complex to octonions for multivariate autoregressive time series analysis
2. Outlier Detection in Beta Autoregressive Moving Average Model
3. LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing (1 citations)
4. Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length
5. Explaining Time Series Forecasting with Horizon-Resolved Attribution
6. Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects
7. A Multiple Compression Approach using Attribute-based Signatures (1 citations)
8. Frequency-Modulated Spiral Manifold: A Model for Temporal Knowledge Graph Completion
9. Gradient-based Model Shortcut Detection for Time Series Classification
10. Multiple change-point detection for Poisson point processes
11. Parameter inference from a non-stationary unknown process using statistical feature-based slow feature analysis
12. Robust tests for parameter change in conditionally heteroscedastic time series models
13. Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents
14. SCAN: Sequentially Detecting Change-points via Adaptive Nonparametric Inference
15. TOPIQ: Statistical Error Propagation for Quantity-of-Interest Prediction under Lossy Compression
16. Towards A Unified Information Bottleneck Framework for Time Series Explanations
17. Asymmetric Huber Periodogram
18. Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection
19. AegisTS: A Hierarchical Agentic AI System with Reinforcement Learning for Multivariate Time Series Data Cleaning
20. Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition