Abstract: Dynamic factor models (DFMs) provide a framework for distilling high-dimensional time series data into a small set of unobserved latent factors. Traditional statistical methods for ...
Abstract: Few-shot semantic segmentation (FSS) faces critical challenges in scaling to diverse query images, as existing methods often struggle to generalize across varying query distributions with ...
StatsPAI is the agent-native Python package for causal inference and applied econometrics. One import, 800+ functions, covering the complete empirical research workflow — from classical econometrics ...
Running example: What is the causal effect of health insurance access on health and financial outcomes? A rigorous, practical guide to modern causal inference methods for readers who already hold a ...
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