lutein
发表于 2025-3-21 16:53:55
书目名称Robust Bayesian Analysis影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0831265<br><br> <br><br>书目名称Robust Bayesian Analysis读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0831265<br><br> <br><br>
Spartan
发表于 2025-3-21 22:21:34
https://doi.org/10.1007/978-1-4612-1306-2Markov chain Monte Carlo; Scheme; Volume; computation; decision problem; likelihood; maintenance; metrics; m
violate
发表于 2025-3-22 04:25:03
On the Use of the Concentration Function in Bayesian RobustnessWe present applications of the concentration function in both global and local sensitivity analyses, along with its connection with Choquet capacities.
全面
发表于 2025-3-22 06:11:13
http://reply.papertrans.cn/84/8313/831265/831265_4.png
漂浮
发表于 2025-3-22 12:32:12
http://reply.papertrans.cn/84/8313/831265/831265_5.png
MEN
发表于 2025-3-22 15:17:32
Bayesian Robustnesse need for a robust approach. Common types of robustness analyses are illustrated, including global and local sensitivity analysis and loss and likelihood robustness. Relationships with other approaches are also discussed. Finally, possible directions for future research are outlined.
depreciate
发表于 2025-3-22 20:39:01
Topics on the Foundations of Robust Bayesian Analysisich underpins Bayesian inference and decision analysis. This chapter surveys whether a similar situation holds for robust Bayesian analysis, overviewing foundational results leading to standard computations in robust Bayesian analysis.
领袖气质
发表于 2025-3-22 22:43:00
Stability of Bayes Decisions and Applications Chuang, who gave the initial formulation of the problem, the article focuses on a major contribution due to Salinetti and the subsequent developments. The discussion also includes applications of stability to the local and global robustness issues relating to the prior distribution and the loss function of a Bayes decision problem.
archaeology
发表于 2025-3-23 04:52:41
http://reply.papertrans.cn/84/8313/831265/831265_9.png
nominal
发表于 2025-3-23 05:54:31
Local Robustness in Bayesian Analysisries of local sensitivity often have nonsensical asymptotic behaviour, raising thorny questions about their calibration. In this article the local approach is broadly defined, ranging from differentiation of functions (e.g., assessing sensitivity to hyperparameters) to differentiation of functionals