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Failure Statistics Analysis Based on Bayesian Theory: A Study of FPSO Internal Turret Leakage

The load and corrosion caused by the harsh marine environment lead to the severe degradation of offshore equipment and to their compromised security and reliability. In the quantitative risk analysis, the failure models are difficult to establish through traditional statistical methods. Hence, the calculation of the occurrence probability of small sample events is often met with great uncertainty. In this study, the   (本文共12页) 阅读全文>>

《Big Data Mining and Analytics》2019年03期
Big Data Mining and Analytics

Bayesian Analysis of Complex Mutations in HBV, HCV,and HIV Studies

In this article, we aim to provide a thorough review of the Bayesian-inference-based methods applied to Hepatitis B Virus(HBV), Hepatitis C Virus(HCV), and Human Immunodeficiency Virus(HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. It is particularly difficult to detect and interpret these interacting mutation patterns, but by using Baye...  (本文共14页) 阅读全文>>

《Journal of Electronic Science and Technology》2019年01期
Journal of Electronic Science and Technology

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

Hyperparameters are important for machine learning algorithms since they directly control the behaviors of training algorithms and have a significant effect on the performance of machine learning models. Several techniques have been developed and successfully applied for certain application domains. However, this work demands professional knowledge and expert experience. And sometimes it has to resort to the brute-fo...  (本文共15页) 阅读全文>>

《Communications in Theoretical Physics》2019年09期
Communications in Theoretical Physics

Comparison Between χ~2 and Bayesian Statistics with Considering the Redshift Dependence of Stretch and Color from JLA Data

In this work, we compare the impacts given by χ~2 statistics and Bayesian statistics. Bayesian statistics is a new statistical method proposed by [C. Ma, P. S. Corasaniti, and B. A. Bassett, arXiv:1603.08519[astro-ph.CO](2016)]recently, which gives a fully account for the standard-candle parameter dependence of the data covariance matrix. For this two statistical methods, we explore the possible redshift-dependence o...  (本文共12页) 阅读全文>>

《信号处理》2020年05期
信号处理

均匀先验分布Bayesian自适应波束形成方法

针对UUV舷侧阵存在观测信号波达方向估计结果有误差的情况,提出了基于均匀先验分布的Bayesian自适应波束形成方法(UB)。该方法假设期望信号的到达方向是区间内服从均匀先验分布的一个变量,利用含有均匀先验...  (本文共6页) 阅读全文>>

《Journal of Systems Engineering and Electronics》2020年03期
Journal of Systems Engineering and Electronics

Bayesian inference for ammunition demand based on Gompertz distribution

Aiming at the problem that the consumption data of new ammunition is less and the demand is difficult to predict,combined with the law of ammunition consumption under different damage grades, a Bayesian inference method for ammunition demand based on Gompertz distribution is proposed. The Bayesian inference model based on Gompertz distribution is constructed,and the system contribution degree is intr...  (本文共11页) 阅读全文>>