A Contemporary Overview of Probabilistic Latent Variable Models

TL;DR

This paper offers a conceptual overview of probabilistic latent variable models, highlighting their compositional nature and interconnectedness within statistical practice.

Contribution

It provides a unified perspective on various latent variable models, emphasizing their relationships and common principles.

Findings

Highlights the interconnectedness of latent variable models

Emphasizes the compositional structure of models

Provides a conceptual framework for understanding models

Abstract

In this paper we provide a conceptual overview of latent variable models within a probabilistic modeling framework, an overview that emphasizes the compositional nature and the interconnectedness of the seemingly disparate models commonly encountered in statistical practice.