3. Bibliography#
- nas
Global land-ocean temperature index. https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt. Accessed: 2023-08-10.
- cov
How to draw ellipse of covariance matrix. https://cookierobotics.com/007/. Accessed: 2023-08-18.
- BSLK01
Yaakov Bar-Shalom, X Rong Li, and Thiagalingam Kirubarajan. Estimation with applications to tracking and navigation: theory algorithms and software. John Wiley & Sons, 2001.
- Lab
Roger Labbe. Kalman and bayesian filters in python. rlabbe/Kalman-and-Bayesian-Filters-in-Python. Accessed: 2023-08-10.
- Oks13
Bernt Oksendal. Stochastic differential equations: an introduction with applications. Springer Science & Business Media, 2013.
- Rob19
Martin Roberts. How to generate uniformly random points on n-spheres and in n-balls. https://extremelearning.com.au/how-to-generate-uniformly-random-points-on-n-spheres-and-n-balls/, 2019. Accessed: 2023-08-14.
- You11
Peter C Young. Recursive estimation and time-series analysis: An introduction for the student and practitioner. Springer Science & Business Media, 2011.