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Fast Approximate Bayesian Inference for Heavy-Tailed Stochastic Volatility-in-Mean Models
This paper extends the approximate Bayesian estimation framework for Stochastic Volatility in Mean (SVM) models to accommodate heavy-tailed distributions from the Scale Mixture of Normals (SMN) family. To overcome the computational challenges arising from these models, we propose a numerically stabl
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