Examples gallery#
Tutorials demonstrating how to use Latents for latent variable modeling and dimensionality reduction.
Examples are organized by method. Start with the GFA examples to learn the core concepts — the probabilistic hierarchy and workflow patterns apply across all methods.
Group Factor Analysis (GFA)#
These examples demonstrate Group Factor Analysis, a Bayesian method for discovering shared and group-specific latent structure in multi-group data.
GFA uses Automatic Relevance Determination (ARD) to automatically select the appropriate latent dimensionality during inference.
Start with Simulating from the GFA model to understand the generative model, then proceed through fitting and posterior analysis.
Delayed Latents Across Groups (mDLAG)#
These examples will demonstrate mDLAG, a method for analyzing multi-group time series data with temporal delays between groups.
Note
mDLAG is under active development. Examples will be added as the implementation matures.