Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/101837
| Title: | Editorial : Bayesian inference and AI | Authors: | Tang, N Liu, C Shi, JQ Huang, Y |
Issue Date: | Jun-2022 | Source: | Frontiers in big data, June 2022, v. 5, 934362 | Keywords: | Artificial intelligence Bayesian inference Linkage tailoring Markov chain Monte Carlo Posterior expectation Text debiasing Wasserstein Impact Measure |
Publisher: | Frontiers Research Foundation | Journal: | Frontiers in big data | EISSN: | 2624-909X | DOI: | 10.3389/fdata.2022.934362 | Rights: | Copyright © 2022 Tang, Liu, Shi and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. The following publication Tang N, Liu C, Shi JQ and Huang Y (2022) Editorial: Bayesian Inference and AI. Front. Big Data 5:934362 is available at https://doi.org/10.3389/fdata.2022.934362. |
| Appears in Collections: | Journal/Magazine Article |
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| fdata-05-934362.pdf | 91.81 kB | Adobe PDF | View/Open |
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