A Nonparametric Operational Risk Modeling Approach Based on Cornish-Fisher Expansion by Xiaoqian Zhu, Jianping Li, Jianming Chen, Yingqi YangHuo, Lijun Gao, Jichuang Feng, Dengsheng Wu, Yongjia Xie

“…In this approach, the samples of severity are generated by Cornish-Fisher expansion and then used in the Monte Carlo simulation to sketch the annual operational loss distribution. …”
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STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK by LI YongHua, CHEN Peng, TIAN ZongRui, CHEN ZhiHao

“…Finally, the reliability calculation results were calculated with the Monte Carlo method. The results show that the proposed method improves the fitting accuracy and gives consideration to the calculation efficiency, which verifies the superiority and feasibility of the proposed method.…”
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Adsorption of Phenols from Different Solvents on Graphene: Semi-Empirical Quantum Mechanical Calculations by Pablo Húmpola, Héctor S. Odetti, Alberto G. Albesa, José L. Vicente

“…The adsorption of phenol from aqueous solutions on carbon surfaces is discussed from different theoretical points of view, such as Monte–Carlo simulations, semi-empirical calculations, density functional theory and molecular dynamics. …”
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Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules by Jian Zhou, Lin Feng, Ning Cai, Jie Yang

“…The parallel model aims to simulate the submission and citation behaviors of the papers in journals belonging to a similar subject, in a distributed manner. We perform Monte Carlo simulations to show how the model parameters influence the impact factor dynamics. …”
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Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…Since Bayes estimators cannot be expressed explicitly, Gibbs and the Markov Chain Monte Carlo techniques are utilized for Bayesian calculation. …”
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Statistical analysis of the k/n(G) system with dependent competing failure components influenced by Gumbel-Hougarrd Copula and progressively hybrid censored data by Yanjie Shi, Zaizai Yan, Xiuyun Peng

“…Also, under the non-informative prior conditions, the conditional posterior density of the shape parameters of the marginal Weibull distribution is proved to be log-concave. The Monte Carlo simulation results showed that the proposed Bayes method is better than the traditional IFM method. …”
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Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

“…The asymptotic properties of parameter and function estimates are established. Monte Carlo simulation studies are conducted to investigate the performance of the proposed estimation methodology and calculation procedure. …”
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A Modified Newmark Method for Calculating Permanent Displacement of Seismic Slope considering Dynamic Critical Acceleration by Yulong Cui, Aijuan Liu, Chong Xu, Jun Zheng

“…In this paper, this problem is analyzed, and a new method for calculating permanent displacement of seismic slope considering dynamic critical acceleration is proposed, in which the Monte Carlo simulation is used. Example calculations indicate that this approach permits to show the dropping cohesion and the dynamic critical acceleration of the slide block during the earthquake time history. …”
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A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Nadhir Al-ansari, Ijaz Hussain, Fuad S. Al-Duais, Mohammed A. Naser

“…These ADPPs are obtained from Bayesian networks (BNs)-based Markov Chain Monte Carlo (MCMC) simulations. Results have shown that the MWADI correlates more with the standardized precipitation index (SPI) and the standardized precipitation temperature index (SPTI). …”
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A Bayesian approach to discrete multiple outcome network meta-analysis. by Rebecca Graziani, Sergio Venturini

“…An adaptive Markov Chain Monte Carlo algorithm is devised for running posterior inference. …”
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Gamma-ray and Neutron Shielding Capacity of Glasses with Various Energies and (_ ^241)Am-Be Source by H. Hosseini Sarteshnizi, M. Eshghi

“…We have calculated mass attenuation coefficient (MAC) by using the Monte Carlo simulations such as Geant4 tool, XMuDat and XCOM computing programs. …”
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Nonlinear functional response parameter estimation in a stochastic predator-prey model by Gianni Gilioli, Sara Pasquali, Fabrizio Ruggeri

“…We tackle the problem of parameter estimation using a Bayesian approach relying on a Markov Chain Monte Carlo algorithm. The efficiency of the method is tested on a set of simulated data. …”
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Bayesian Non-Parametric Mixtures of GARCH(1,1) Models by John W. Lau, Ed Cripps

“…Inference is Bayesian, and a Markov chain Monte Carlo algorithm to explore the posterior distribution is described. …”
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Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes by Vladica S. Stojanović, Tanja Jovanović Spasojević, Radica Bojičić, Brankica Pažun, Zlatko Langović

“…In addition, a quantile-based parameter estimation procedure, an asymptotic analysis of the thus obtained estimators, and their Monte Carlo simulation study are conducted. Finally, the application of the proposed distribution in stochastic modeling of some real-world data with emphasized extreme values is provided.…”
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Thermodynamics of modified Chaplygin-Jacobi gas and modified Chaplygin-Abel gas: Stability analysis and observational constraints by Banadipa Chakraborty, Tamal Mukhopadhyay, Debojyoti Mondal, Ujjal Debnath

“…We then perform observational analysis using CC+BAO and Pantheon+SH0ES datasets to impose constraints on our model parameters using the Markov Chain Monte Carlo (MCMC) process.…”
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Analyzing Integrated Cost-Schedule Risk for Complex Product Systems R&D Projects by Zhe Xu, Jing Yu, Hongbo Li

“…Graphical evaluation review technique (GERT), Monte Carlo simulation, and probability distribution theory are utilized to establish the model. …”
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Nonlinear Dynamic Behaviour Analysis of a Clutch System with Uncertainties Using Polynomial Chaos and the Constrained Harmonic Balance Method by M.-H. Trinh, S. Berger, E. Aubry

“…The purpose is to provide a low-cost, high precision approach, compared to the classic Monte Carlo method.…”
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Predicting the adsorption of -perfluorohexane (-CF) on BAM-P109 activated carbon using an force field by Fenglei Cao, Zhifeng Jing, Huai Sun

“…It was found that the Grand Canonical Monte Carlo method can efficiently calculate adsorption on microscopic pores but not on mesoscopic pores. …”
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The Effect of Grafting Density on the Crystallization Behaviors of Polymer Chains Grafted onto One-Dimensional Nanorod by Tongfan Hao, Yongqiang Ming, Shuihua Zhang, Ding Xu, Zhiping Zhou, Yijing Nie

“…The crystallization behaviors of five polymer chain systems grafted on a nanorod and the corresponding effect of grafting density were investigated by dynamic Monte Carlo simulations. The segment density near the interfacial regions, the number of crystallites, and the mean square radius of gyration (<Rg2>) increase with increasing grafting density, which are beneficial to the enhancement of crystallizability. …”
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Accelerated failure model with empirical analysis and application to colon cancer data: Testing and validation by John Abonongo, Anuwoje Ida L. Abonongo, Abdussalam Aljadani, Mahmoud M. Mansour, Haitham M. Yousof

“…Serving as an alternative to the Cox model and other established AFT models, the proposed model’s parameters are estimated through maximum likelihood estimation. A Monte Carlo simulation study is conducted to evaluate the proposed model’s performance across various scenarios, demonstrating its superiority over competing AFT models. …”
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