Optimizing Changepoint Detection
Gerrit explains how hyperparameters can be adjusted to optimize the number of change points detected, while Kyle discusses the need for a framework to compare and contrast different algorithms on specific datasets. They highlight the challenge of determining the best algorithm for changepoint detection and their efforts to create benchmark time series datasets for evaluation.In this clip
From this podcast
Data Skeptic
Change Point Detection Algorithms
Related Questions
What are practical applications of changepoint models?
What are the practical applications of changepoint models as discussed in the episode Change Point Detection Algorithms and the clip Change Point Detection?
What are the practical applications of changepoint models as discussed in the episode Change Point Detection Algorithms and the clip Multivariate Time Series?