Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
2 documents
This introductory tutorial shows how to use Jupyter notebooks for quantitative analysis. It explains the distinction between code and text cells, cell execution and output, importing common analysis and plotting libraries, and using tab completion and inline…
This lecture introduces the Kalman filter as a method for estimating an evolving system state from a model and noisy observations. The filter alternates between predicting the next state and updating that estimate with new measurements. Transition and…