What we're about

Regular Berlin Meet-up to talk about time series. Topics include: forecasting, explanatory models (e.g. media mix models), distributed lag models, ml on sequential data, and synthetic control, but we are open to suggestions and, especially, to speakers!

Join if you want to learn about time series, or if you want to share your expertise. Everyone is welcome.

Please take a look (and contribute!) into our GitHub Repository https://github.com/juanitorduz/btsa .

Upcoming events (1)

Tenuous Relations and Time Series Analysis in PyMC.

Link visible for attendees

Abstract: We'll discuss the nature of lagged impact between multiple time series and sketch some details about how we can implement and use VAR models and their hierarchical variants to quantify the nature of these relationships.

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Speaker: Nathaniel Forde
Bio: Data Scientist working with Personio on engineering analytics. Previously worked in Insurance and Gambling after dallying too long in academic philosophy. Unifying theme of work: understanding risk with a view of inference as argument.

Past events (22)

Uncertainty Estimation in Time Series with Neural Processes

This event has passed