About us
Time Series Lab: Theory & Practice is a discussion-driven learning group for people who work with or are curious about temporal data and want to understand it beyond running black-box models. We alternate between theory-focused sessions (foundations like stationarity, state-space models, Bayesian and causal time series) and applied sessions (real-world papers, case studies, and datasets from domains like healthcare, product analytics, finance, and sensors). The emphasis is on assumptions, modeling choices, and failure modes—what works, what breaks, and why.
Past events
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