A Bayesian model for binary Markov chains by Souad Assoudou, Belkheir Essebbar

“…The Bayesian estimator is approximated by means of Monte Carlo Markov chain (MCMC) techniques. The performance of the Bayesian estimates is illustrated by analyzing a small simulated data set.…”
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Crochet increases attention through a requiring motor skill learning by Davide Rossi Sebastiano, Cristina Muscio, Dunja Duran, Deborah Bonfoco, Sara Dotta, Paola Anversa, Elisa Pellencin, Pietro Tiraboschi, Elisa Visani

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Rules-Based Energy Management System for an EV Charging Station Nanogrid: A Stochastic Analysis by Gabriel Henrique Danielsson, Leonardo Nogueira Fontoura da Silva, Joelson Lopes da Paixão, Alzenira da Rosa Abaide, Nelson Knak Neto

“…The methodology includes forecasting models based on an Artificial Neural Network for photovoltaic generation, a parametric estimation for wind generation, and a Monte Carlo simulation to predict the energy consumption of electric vehicles. …”
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Multiobjective Optimization Design of Truss Antenna by Di Wu, Xiaofei Ma, Jinbao Chen, Chuanzhi Chen, Jiang Zhao, Kunyang Lin

“…Then, the relationship between the tolerance and the surface accuracy is obtained by the Monte Carlo method. For improving the computing efficiency of the Monte Carlo method, an approximate model of the truss antenna unit is established, where the rod length tolerance is set as the design variable, and the truss surface accuracy and processing cost are set as the objective functions. …”
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Thermal Hydraulic and Neutronics Coupling Analysis for Plate Type Fuel in Nuclear Reactor Core by Linrong Ye, Mingjun Wang, Xin’an Wang, Jian Deng, Yan Xiang, Wenxi Tian, Suizheng Qiu, G. H. Su

“…The three-dimensional thermal hydraulic model and reactor core physics model were established using Fluent and Monte Carlo code for a typical plate type fuel assembly, respectively. …”
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AN INVESTIGATION ON THE EFFECTIVE PARAMETERS OF LOOSE SANDS LIQUEFACTION POTENTIAL USING IMPROVED HYPERCUBE SAMPLING METHOD by S. Golmoghani Ebrahimi, A. Noorzad, H. Javaheri Koupaei

“…Comparing the results of the IHS method with Monte Carlo simulation showed that the proposed method is reliable for liquefaction analysis. …”
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The W/S Test for Data Having Neutrosophic Numbers: An Application to USA Village Population by Mohammed Albassam, Nasrullah Khan, Muhammad Aslam

“…The W/S test under neutrosophic statistics is proposed in this paper. The Monte Carlo simulation under the neutrosophic statistical interval method is proposed and applied to study the sensitivity of various neutrosophic statistical distributions. …”
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Redundancy Design and Workspace Analysis of 3-PRS Parallel Mechanism by Junjie Huang, Pengfei Wang, Bowen Zhang, Junwei Zhao

“…Aiming at the problems of rough boundary and low accuracy in solving the workspace of parallel mechanism by classical Monte Carlo method，a Monte Carlo method based on boundary extremum densification is proposed. …”
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Kinematic Reliability Analysis of a 7-DOF Redundant Robot by Li Ding, Jiahui Gu, Ziyi Li, Shaopeng Kang, Rui Ma

“…Finally, the simulation results verify that the relative error of the envelope method is less than 6.0% compared with that of the Monte Carlo simulation method, and the computational efficiency is higher than that of the Monte Carlo method, which demonstrates that the envelope method has better comprehensive performance.…”
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Post-craniotomy infections: A point-by-point approach by Giovanni Carone, Marta Bonada, Evelyn Gisell Belotti, Eugenia D'Angeli, Annica Piccardi, Fabio Martino Doniselli, Guido Gubertini, Cecilia Casali, Francesco DiMeco, Massimiliano Del Bene

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Stochastic modelling of PTEN regulation in brain tumors: A model for glioblastoma multiforme by Margherita Carletti, Matteo Montani, Valentina Meschini, Marzia Bianchi, Lucia Radici

“…This work is the outcome of the partnership between the mathematical group of Department DISBEF and the biochemical group of Department DISB of the University of Urbino "Carlo Bo" in order to better understand some crucial aspects of brain cancer oncogenesis.Throughout our collaboration we discovered that biochemists are mainly attracted to the instantaneous behaviour of the whole cell, while mathematicians are mostly interested in the evolution along time of small and different parts of it. …”
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Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model by Chaolin Liu, Haina Jiang, Xinhui Shi, Donglin Liu

“…Under such criteria, we perform a real data example and a Monte Carlo study to illustrate theoretical results.…”
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Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics by Chansoo Kim, Woosuk Kim

“…To compare the maximum likelihood estimator and the Bayes estimator of the parameters, Monte Carlo simulation study is performed.…”
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Preclinical Polymodal Hallucinations for 13 Years before Dementia with Lewy Bodies by Carlo Abbate, Pietro Davide Trimarchi, Silvia Inglese, Niccolò Viti, Alessandra Cantatore, Lisa De Agostini, Federico Pirri, Lorenza Marino, Renzo Bagarolo, Daniela Mari

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Nonparametric estimators for varextropy under $\alpha$-mixing condition with appliction in exponential AR(1) model by Raheleh Zamini, Faranak Goodarzi, Mohamad Salimi

“…Moreover, the comparison of the proposed estimators for varextropy in terms of the bias and mean squared error has been done by Monte Carlo method. Furthermore, a real data example is presented.…”
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A Novel Two-Terminal Reliability Analysis for MANET by Xibin Zhao, Zhiyang You, Hai Wan

“…The node mobility effect and the node reliability based on a real MANET platform are modeled and analyzed. An effective Monte Carlo method for reliability analysis is proposed. …”
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Vascular involvement in idiopathic pulmonary fibrosis by Michele Mondoni, Rocco Rinaldo, Christopher J. Ryerson, Cristina Albrici, Andrea Baccelli, Claudio Tirelli, Francesca Marchetti, Jacopo Cefalo, Giulia Nalesso, Giulia Ferranti, Fausta Alfano, Giovanni Sotgiu, Marco Guazzi, Stefano Centanni

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Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization by Wen Zou, Zhanxin Cui, Genghui Li, Zhiwei Feng, Zhenkun Wang, Qingyu Gao, Qingbin Zhang, Tao Yang

“…The conventional Monte Carlo method proves inadequate for acquiring comprehensive boundary information. …”
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Fracture simulation of concrete beams to assess softening behavior by varying different fractions of aggregates by H. S. Vishwanatha, S. Muralidhara, B. K. Raghu Prasad

“…This approach encompasses multiple levels of analysis, including the generation of aggregate particles using a Monte Carlo method implemented via a Python script. Additionally, we replicate the Interfacial Transition Zone (ITZ) between aggregate and mortar in the model. …”
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Analysis and Simulation of Intervention Strategies against Bus Bunching by means of an Empirical Agent-Based Model by Wei Liang Quek, Ning Ning Chung, Vee-Liem Saw, Lock Yue Chew

“…In this paper, we propose an empirically based Monte Carlo bus-network (EMB) model as a test bed to simulate intervention strategies to overcome the inefficiencies of bus bunching. …”
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