Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors

Published:2022-10 Issue:5 Volume:32 Page:
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Forbes Florence^ORCID,Nguyen Hien Duy,Nguyen TrungTin,Arbel Julyan

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s11222-022-10155-6.pdf

Reference77 articles.

1. Akesson, M., Singh, P., Wrede, F., Hellander, A.: Convolutional neural networks as summary statistics for approximate Bayesian computation. IEEE/ACM Trans. Comput. Biol. Bioinformat. (2021)

2. An, Z., Nott, D.J., Drovandi, C.: Robust Bayesian synthetic likelihood via a semi-parametric approach. Stat. Comput. 30(3), 543–557 (2020)

3. An, Z., South, L.F., Nott, D.J., Drovandi, C.C.: Accelerating Bayesian synthetic likelihood with the graphical lasso. J. Comput. Gr. Stat. 28(2), 471–475 (2019)

4. Arridge, S., Maass, P., Öktem, O., Schönlieb, C.-B.: Solving inverse problems using data-driven models. Acta Numer 28, 1–174 (2019)

5. Bernard-Michel, C., Douté, S., Fauvel, M., Gardes, L., Girard, S.: Retrieval of Mars surface physical properties from OMEGA hyperspectral images using Regularized Sliced Inverse Regression. J. Geophys. Res. Planets, 114(E6) (2009)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Likelihood Free Inference using Mixtures of Experts;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling;SIAM Journal on Mathematics of Data Science;2022-12-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3