Latent State Models (LSMs) are statistical models that are used to describe systems that can be represented by unobservable (latent) variables and observable outcomes. These models are particularly useful in various fields, including economics, psychology, and bioinformatics. LSMs can help capture the underlying patterns in complex data sets, where direct measurement of all variables is not possible.
Here are some key aspects of LSMs:
1.


