BriefGPT.xyz
Feb, 2016
DR-ABC: 基于核分布回归的近似贝叶斯计算
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
HTML
PDF
Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh
TL;DR
本研究提供了一种新的基于核回归的框架方法,使用随机傅里叶特征来实现大规模核学习,以选择合适的问题特定摘要统计量来近似真实条件概率分布,该方法在近似贝叶斯计算中有杰出表现。
Abstract
Performing exact
posterior inference
in complex generative models is often difficult or impossible due to an expensive to evaluate or intractable likelihood function.
approximate bayesian computation
(ABC) is an
→