Representation Bayesian Risk Decompositions and Multi-Source Domain AdaptationXi WuYang GuoJiefeng ChenYingyu LiangSomesh JhaPrasad Chalasani
In this section, we aim at describing how Bayesian inference can be employed to identify material parameters in computational mechanics. Seven different boundary value problems including complex coupled multi-field (and multi-physics) systems are considered. Moreover, compact open-source codes are provi...
Bayesian survival analysis In this section, we outline a coherent, fully Bayesian framework for survival analysis. We start with Bayesian estimation, move towards the less common Bayesian hypothesis testing, and extend both estimation and testing to multi-model inference with Bayesian model-averaging (...
This section describes the multi-dimensional (MD) Bayesian network classifiers (BNCs) proposed to deal with the PLR problem, mainly inspired by a multi-label (ML) approach. Fig. 3 shows an example to illustrate the proposed MD-based PLR procedure: 1. Taking as reference [20], a pairwise...
“Multitree MPTs”27, which have the property to involve different within-subject trial types (e.g. targets versus foils). Many formal properties of these models as well as non-Bayesian estimation methods using the Expectation-Maximization (EM) algorithm have been previously discussed33. GCMR ...
whereas Liu et al.22showed that higher income groups demonstrated lower incidence rates. A multi-country study carried out by Huang et al.23found significant effects ofPM2.5on COVID-19 incidence in the USA but not in Italy or Canada. Furthermore, few studies have accounted for socioeconomic,...
In recent years, a big trend has emerged in the field of deep learning (DL), focusing on diverse multi-omics data including genome, transcriptome, epigenome, proteome, exposome, and microbiome [8]. Commonly employed deep learning techniques have been widely utilized for feature extraction, integra...
Multi-dim input and output issues Updated some other tests and examples Documentation and other small issues. 25 Nov 2021 version 2.8.1 Cleanup in Plotter Documentation issues; Replaced style.md by code-style.md Correcting error on Windows systme 07 Feb 2022 version 3.0.0 New classes: Astropy...
Two-phase experiments are widely used in many areas of science (e.g., agriculture, industrial engineering, food processing, etc.). For example, consider a
which relies on the fact that Sketch has out-of-the-box support for finding Pareto-optimal solutions to multiobjective optimization problems26. We approximate the likelihood PLik(Xtest∣T, L) using the lower bound in Eq. (9), equivalently finding the shortest stem which will generate the ...