# Reading List for Linear Gaussian State Space Models

**URL:** <https://community.intuitivebayes.com/t/reading-list-for-linear-gaussian-state-space-models/1002>\
**Category:** LInear Gaussian SSM\
**Created:** [March 6, 2023, 3:19am UTC](https://community.intuitivebayes.com/t/reading-list-for-linear-gaussian-state-space-models/1002 "2023-03-06T03:19:53Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![RavinKumar](https://yyz1.discourse-cdn.com/flex007/user_avatar/community.intuitivebayes.com/ravinkumar/32/13_2.png) [@RavinKumar](https://community.intuitivebayes.com/u/RavinKumar)\
**Post date:** [March 6, 2023, 3:19am UTC](https://community.intuitivebayes.com/t/reading-list-for-linear-gaussian-state-space-models/1002/1 "2023-03-06T03:19:53Z")

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Our next live session will be sometime in April, to be determined after March 31st.

Here’s our reading list till then!

## Primary Reading

- [Tracking an object using the Kalman filter](https://probml.github.io/dynamax/notebooks/linear_gaussian_ssm/kf_tracking.html)
- [Online linear regression using Kalman filtering](https://probml.github.io/dynamax/notebooks/linear_gaussian_ssm/kf_linreg.html)
- [Parallel filtering and smoothing in an LG-SSM](https://probml.github.io/dynamax/notebooks/linear_gaussian_ssm/lgssm_parallel_inference.html)

### References

- ProbML Chapter 8.1, 8.2, 8.3
- [Kalman and Bayesian Filters in Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python)