Time Series Analysis


Time series analysis comprises statistical methods for analyzing a sequence of data points collected over an interval of time to identify interesting patterns and trends.

TimeCF: A TimeMixer-Based Model with adaptive Convolution and Sharpness-Aware Minimization Frequency Domain Loss for long-term time seris forecasting

Add code
May 23, 2025
Viaarxiv icon

Online Conformal Model Selection for Nonstationary Time Series

Add code
Jun 05, 2025
Viaarxiv icon

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes

Add code
May 26, 2025
Viaarxiv icon

Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis

Add code
May 28, 2025
Viaarxiv icon

One Rank at a Time: Cascading Error Dynamics in Sequential Learning

Add code
May 28, 2025
Viaarxiv icon

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis

Add code
May 12, 2025
Viaarxiv icon

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

Add code
May 11, 2025
Viaarxiv icon

Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks

Add code
May 26, 2025
Viaarxiv icon

Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)

Add code
May 19, 2025
Viaarxiv icon

Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks

Add code
May 21, 2025
Viaarxiv icon