Bayesian predictive inference for time series count data
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arXiv paper highlights Bayesian inference pitfalls · 1 source tracked
A new paper published on arXiv discusses common misunderstandings in Bayesian predictive inference, particularly concerning the data-generating mechanism and the overestimation of asymptotic exchangeability. The authors…
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New research explores Bayes-filtered transformers and uncertainty decomposition
Two new arXiv papers explore Bayes-filtered transformers (BFTs), a type of transformer model designed to approximate Bayesian posterior predictive distributions. The first paper introduces Predictive Monte Carlo (PMC) a…
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New framework enables faster Bayesian predictive inference
Researchers have developed a new multi-task in-context learning framework for amortized hierarchical Bayesian predictive inference. This method explicitly represents prior information as a prefix of in-context datasets,…