Constructing Quasi-Site-Specific Multivariate Probability Distribution Using Hierarchical Bayesian Model

多元统计 先验概率 贝叶斯概率 数据挖掘 计算机科学 人工智能 机器学习
作者
Jianye Ching,Stephen Wu,Kok‐Kwang Phoon
出处
期刊:Journal of Engineering Mechanics-asce [American Society of Civil Engineers]
卷期号:147 (10) 被引量:49
标识
DOI:10.1061/(asce)em.1943-7889.0001964
摘要

In geotechnical engineering, it is challenging to construct a site-specific multivariate probability distribution model for soil/rock properties because the site-specific data are usually sparse and incomplete. In contrast, there are abundant generic soil/rock data in the literature for the construction of a generic multivariate probability distribution model, but this model is typically biased and/or imprecise for a specific site. A hybridization method has been proposed to combine these two sources of soil/rock data (site-specific data and a generic database) to produce a quasi-site-specific model, but this method is essentially heuristic. In the current paper, a more rational method that exploits the geologic origin of soil/rock data is proposed. There is a tendency for data to be more similar within a single site and less similar between sites. This is called site uniqueness in geotechnical engineering practice, but no data-driven methods exist to quantify this data feature currently. The hierarchical Bayesian model (HBM) is a natural model to exploit this group information. The grouping criterion can be site localization, soil/rock types, or others. This paper only studies the group criterion based on site localization. This means that a generic database is now viewed as a collection of data groups labeled by qualitative site labels. This site label does not contain any quantitative information such as GPS location, it merely demarcates each group as distinct. The novel contribution is the development of an efficient HBM with closed-form conditional probabilities based on suitably chosen conjugate priors that can handle multivariate, uncertain and unique, sparse, incomplete, and potentially corrupted (MUSIC) data containing site labels. Numerical comparisons between the hybridization method (which cannot incorporate group information) and HBM show that even the simple qualitative knowledge that data belong to a geographically constrained site can improve the estimation of soil/rock properties. The GPS location of each site is not needed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ccxb1014ft完成签到,获得积分10
1秒前
2秒前
研友_VZG7GZ应助Fancy采纳,获得10
3秒前
徐什么宝完成签到,获得积分10
3秒前
小周周完成签到,获得积分10
3秒前
满意的念柏完成签到,获得积分10
3秒前
4秒前
4秒前
4秒前
一念之间发布了新的文献求助10
4秒前
无奈的代珊完成签到 ,获得积分10
5秒前
任鹰发布了新的文献求助10
5秒前
研友_LaNOdn发布了新的文献求助10
5秒前
5秒前
5秒前
lan完成签到,获得积分10
8秒前
8秒前
10秒前
10秒前
hao发布了新的文献求助10
10秒前
zxc发布了新的文献求助10
10秒前
比尔完成签到,获得积分10
11秒前
Jing发布了新的文献求助10
12秒前
好运LL发布了新的文献求助10
12秒前
简隋英发布了新的文献求助10
12秒前
研友_LkKrmL完成签到,获得积分10
12秒前
12秒前
kinmon完成签到,获得积分10
12秒前
美好斓发布了新的文献求助10
13秒前
见字如面完成签到,获得积分10
14秒前
科研通AI2S应助勤恳绝义采纳,获得10
15秒前
kinmon发布了新的文献求助10
16秒前
16秒前
我了完成签到,获得积分10
16秒前
16秒前
Zzz完成签到,获得积分10
17秒前
笨笨的发布了新的文献求助10
17秒前
共享精神应助LennonYin采纳,获得10
17秒前
plst发布了新的文献求助10
17秒前
121完成签到,获得积分10
18秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
A new approach of magnetic circular dichroism to the electronic state analysis of intact photosynthetic pigments 500
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3148931
求助须知:如何正确求助?哪些是违规求助? 2799908
关于积分的说明 7837731
捐赠科研通 2457479
什么是DOI,文献DOI怎么找? 1307870
科研通“疑难数据库(出版商)”最低求助积分说明 628312
版权声明 601685