We give a new hierarchical model for partial orders to handle list data which come in labeled groups. The model reduces to a Plackett-Luce model when the partial order dimension is set equal one and ...

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Abstract: On-device inference is a burgeoning paradigm that performs model inference locally on end devices, allowing private data to remain local. ARM TrustZone as a widely supported trusted ...

To derive precise estimates of IFMRs and explore how they may vary among star clusters, we propose a Bayesian hierarchical model that pools photometric data from multiple star clusters. After ...

[1] Engine Room Module Installation System Risk Analysis Based on Bayesian Network.

This paper makes the following original contributions to the literature. (1) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector ...

A common way to measure the reliability of a system is to determine the probability that it will pass, or survive, a stress test. This typically requires several system tests, but it may be ...

Model-based Distributionally Robust Optimisation: Bayesian Ambiguity Sets and Model Misspecification ...