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.

Geospatial and Temporal Trends in Urban Transportation: A Study of NYC Taxis and Pathao Food Deliveries

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May 02, 2025
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Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion

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May 16, 2025
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Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series

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Apr 30, 2025
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Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments

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May 13, 2025
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Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts

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May 02, 2025
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Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models

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May 18, 2025
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On Multivariate Financial Time Series Classification

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Apr 24, 2025
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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism

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May 12, 2025
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Does Scaling Law Apply in Time Series Forecasting?

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May 15, 2025
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Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series

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Apr 29, 2025
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