Robust Probabilistic Programming and Inference Framework

Create an advanced probabilistic programming system supporting complex statistical modeling and inference across diverse domains. Implement flexible probabilistic model specification, scalable inference algorithms, and uncertainty quantification techniques. Develop a comprehensive framework supporting multiple inference methods, automatic differentiation, and model composition. Include visualization of probabilistic models and comprehensive uncertainty reporting.