Comparison of Different Confidence Intervals under Type-I Censoring Scheme by Ali Algarni, Abdullah M. Almarashi, Debasis Kundu, G. A. Abd-Elmougod, Sayed Abdel-Khalek

“…We proposed the exact confidence interval, for estimators θ^ and lnθ^, asymptotic confidence intervals, confidence interval under likelihood ratio test, and finally, two bootstrap confidence intervals. Under the Bayesian approach, the unknown parameter is estimated and the corresponding credible interval is obtained considering the prior information formulated with the inverted gamma distribution. …”
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Heuristic Sarsa algorithm based on value function transfer by Jianping CHEN, Zhengxia YANG, Quan LIU, Hongjie WU, Yang XU, Qiming FU

“…With the problem of slow convergence for traditional Sarsa algorithm,an improved heuristic Sarsa algorithm based on value function transfer was proposed.The algorithm combined traditional Sarsa algorithm and value function transfer method,and the algorithm introduced bisimulation metric and used it to measure the similarity between new tasks and historical tasks in which those two tasks had the same state space and action space and speed up the algorithm convergence.In addition,combined with heuristic exploration method,the algorithm introduced Bayesian inference and used variational inference to measure information gain.Finally,using the obtained information gain to build intrinsic reward function model as exploring factors,to speed up the convergence of the algorithm.Applying the proposed algorithm to the traditional Grid World problem,and compared with the traditional Sarsa algorithm,the Q-Learning algorithm,and the VFT-Sarsa algorithm,the IGP-Sarsa algorithm with better convergence performance,the experiment results show that the proposed algorithm has faster convergence speed and better convergence stability.…”
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Modeling and Stochastic Model Updating of Bolt-Jointed Structure by Ming Zhan, Qintao Guo, Lin Yue, Baoqiang Zhang

“…A hierarchical model updating strategy based on Bayesian inference is applied to identify the unknown parameters in the substructures model and those in the overall model. …”
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Deep neural networks have an inbuilt Occam’s razor by Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis

“…To disentangle these three components for supervised learning, we apply a Bayesian picture based on the functions expressed by a DNN. …”
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Method of non-destructive control of thickness and internal defectivity of the walls of metal pipe by S. A. Zolotarev, P. S. Savenia, K. A. Zhukov, M. A. Sednina

“…A computerized technique has been developed that takes into account the contribution of scattered radiation and the hardening of the X-ray beam. Iterative Bayesian reconstruction techniques are then used to reconstruct the pipe image using the volumetric and surface-oriented representation of the pipe. …”
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Hard-Wired Dopant Networks and the Prediction of High Transition Temperatures in Ceramic Superconductors by J. C. Phillips

“…Following a path suggested by Bayesian probability, it was found that the glassy, self-organized dopant network percolative model is so successful that it defines a new homology class appropriate to ceramic superconductors. …”
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Identification of three novel species and one new record of Kirschsteiniothelia (Kirschsteiniotheliaceae, Kirschsteiniotheliales) from Jiangxi, China by Xing-Xing Luo, Ming-Gen Liao, Ya-Fen Hu, Xiu-Guo Zhang, Zhao-Huan Xu, Jian Ma

“…Based on morphological examination and phylogenetic analyses of combined ITS, LSU, and SSU sequences data using maximum-likelihood and Bayesian inference, three new species of Kirschsteiniothelia, namely K. ganzhouensis, K. jiangxiensis, and K. jiulianshanensis, were introduced, and one known species, K. inthanonensis, was recorded for the first time from China. …”
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Study on disaster-causing probability evaluation of gas pipeline in karst area. by Qiaochu Li, Peng Zhang

“…Combined with the advantages of information transmission and updating of the Bayesian network model, the hazard probability of disaster events is gradually calculated from a multi-level perspective. …”
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A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning by Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang

“…For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process. …”
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THE IMPACT OF MACROECONOMIC FACTORSON POVERTY REDUCTION IN LAMDONG PROVINCE by Hồ Quang Thanh, Hoàng Trọng Vinh, Trần Tuấn

“…We use a multiple regression model optimized by means of BMA (Bayesian Model Average) in which several macroeconomic variables includingincome, unemployment (employment), inflation and quality of human resources in Lamdong are employed. …”
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Analysis of Temporal and Spatial Characteristics of Precipitation Series in Weihe River Basin Based on Sample Entropy by MU Jiaxin, SUN Dongyong, RU Ya'nan, WANG Miaomiao, LI Xianwei, LI Ya'nan

“…In a changing environment,the temporal and spatial complexity of precipitation in the Weihe River Basin changes.In this paper,the measured daily precipitation data of 21 meteorological stations in the Weihe River Basin in 59 years from 1960 to 2018 are selected.The static and dynamic evolution characteristics of the complexity of precipitation series in the Weihe River Basin are studied by the moving sample entropy (M-SampEn).The mutation test is carried out by the combination of the moving cut sample entropy (MC-SampEn) and Bayesian analysis.The results show that the complexity of precipitation series in the Weihe River Basin has spatial differences,and the precipitation complexity and intergenerational variation trend in each sub-region are relatively consistent.The precipitation of the upper and middle reaches of Weihe River and Jinghe River Basin mutated in 1995,and that of the lower reaches of Weihe River mutated in 1991 while that of the Beiluo River Basin mutated in 1970 and 2000.…”
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New Environmental Protection Taxes in China from the Perspective of Environmental Economics by Qianyang Tu, Ying Wang

“…This paper analyzes and predicts the effectiveness of these new environmental tax policies within the framework of a macroeconometric dynamic stochastic general equilibrium (DSGE) model. Bayesian estimation is applied to estimate dynamic parameters based on China’s macroeconomic data from 1978 to 2018. …”
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Knowledge and innovation management model in the mezcal industry in Mexico by Antonia Terán-Bustamante, Sandra Nelly Leyva-Hernández, Antonieta Martínez-Velasco

“…This research aims to study and analyze knowledge management in the mezcal sector in Mexico and its impact on the development of rural communities through Bayesian-networks with machine learning techniques. …”
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Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System by Shuai Jin, Liuwei Zhao

“…During the course of the study, we used Bayesian estimation algorithm to calibrate the environmental quality. …”
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Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise by Jean Barbier, Francesco Camilli, Yizhou Xu, Marco Mondelli

“…We consider a prototypical problem of Bayesian inference for a structured spiked model: a low-rank signal is corrupted by additive noise. …”
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Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria... by Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa

“…The same modifications can be implemented to rewrite also Bayesian statistical criteria, such as the Schwartz indicator, in terms of information-theoretic quantities, proving the generality of the approach and the validity of the underlying assumptions.…”
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Origin of Non-Gaussian Velocity Distribution Found in Freestanding Graphene Membranes by Yue Kai, Wenlong Xu, Bailin Zheng, Nan Yang, Kai Zhang, P. M. Thibado

“…Three methods are used and discussed, including the Fokker-Planck-Kolmogorov equation, the maximum nonsymmetric entropy principle, and the Bayesian inference. From these results, a physical mechanism is provided for the non-Gaussian velocity distribution in terms of carbon atom arrangement in freestanding graphene. …”
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Probabilistic Trust Evaluation with Inaccurate Reputation Reports by Bin Liu, Geng Yang

“…To this end, we develop techniques to take account of inaccurate reputations in modeling the behaviors of the trustee based on the Bayesian formalism. The core of the techniques is a proposed notion, termed Advisor-to-Truster relevance measure, based on which the incorrect reputation reports are rectified for use in the trust evaluation process. …”
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MODELLING ROUNDABOUT ENTRY CAPACITY FOR MIXED TRAFFIC FLOW USING ANN: A CASE STUDY IN INDIA by Aarohi Kumar MUNSHI, Ashish Kumar PATNAIK

“…This study indicated that the Bayesian Regularisation Neural Network (BRNN) based model has the best R2 and RMSE of 0.97 and 167.8. …”
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Comparison of Quantitative Structure-Activity Relationship Model Performances on Carboquinone Derivatives by Sorana D. Bolboaca, Lorentz Jäntschi

“…s information criteria (three parameters), Schwarz (or Bayesian) information criterion, Amemiya prediction criterion, Hannan-Quinn criterion, Kubinyi function, Steiger's Z test, and Akaike's weights. …”
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