A Linear Approximation Method for Probabilistic Inference

📝 Original Info

• Title: A Linear Approximation Method for Probabilistic Inference
• ArXiv ID: 1304.2373
• Date: 2013-04-10
• Authors: Researchers from original ArXiv paper

📝 Abstract

An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are "second order" probabilities. The approximation, based on the Gaussian influence diagram, iterates over linear approximations to the inference problem.

💡 Deep Analysis

Deep Dive into A Linear Approximation Method for Probabilistic Inference.

An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are “second order” probabilities. The approximation, based on the Gaussian influence diagram, iterates over linear approximations to the inference problem.

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