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Kevinstiv Castro Huaman, Yaneth Vasquez Olivera, Vidal Aramburu Rojas, Luis Arauzo, Carlos Raymundo Ibañez and Francisco Dominguez
The necessity of mining valuable metals must be balanced with the safe and effective disposal or remediation of the resulting waste. Water, one of our most valuable resources, is a major component of the mining process, and its post-operation storage oft...
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Karol Durczak, Piotr Rybacki and Agnieszka Sujak
Knowledge of the use-to-failure periods of process equipment, including agricultural vehicles, is essential for the determination of their durability and reliability. Obtaining any empirical data on this issue is difficult and sometimes impossible. Exper...
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David Sanio, Mark Alexander Ahrens and Peter Mark
In complex engineering models, various uncertain parameters affect the computational results. Most of them can only be estimated or assumed quite generally. In such a context, measurements are interesting to determine the most decisive parameters accurat...
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Emre Soydemir and Panagiotis Petratos
The current study investigates the application of statistical methods to flight, which have been used in science over time to understand complex physical and mathematical systems by using randomly generated numbers as input into those systems to generate...
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Wilson Tsakane Mongwe, Rendani Mbuvha and Tshilidzi Marwala
Markov chain Monte Carlo (MCMC) techniques are usually used to infer model parameters when closed-form inference is not feasible, with one of the simplest MCMC methods being the random walk Metropolis?Hastings (MH) algorithm. The MH algorithm suffers fro...
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Philippe Blondeel, Pieterjan Robbe, Cédric Van hoorickx, Stijn François, Geert Lombaert and Stefan Vandewalle
Civil engineering applications are often characterized by a large uncertainty on the material parameters. Discretization of the underlying equations is typically done by means of the Galerkin Finite Element method. The uncertain material parameter can be...
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Tao Pang, Yipeng Yang and Dai Zhao
Monte Carlo methods are widely-used simulation tools for market practitioners from trading to risk management. When pricing complex instruments, like mortgage-backed securities (MBS), strong path-dependency and high dimensionality make the Monte Carlo me...
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Tao Pang, Yipeng Yang and Dai Zhao
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Patrizio Vanella, Christina Benita Wilke and Doris Söhnlein
Demographic change is leading to the aging of German society. As long as the baby boom cohorts are still of working age, the working population will also age?and decline as soon as this baby boom generation gradually reaches retirement age. At the same t...
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I.Y. Sesin,V.V. Nechaev
Pág. 34 - 40
Path tracing is one of unbiased rendering methods. Said method relies on integral rendering equation to simulate wide variety of optical phenomena. In path tracing, integral part of rendering equation is calculated using Monte Carlo method, which makes t...
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Kyle Eyvindson,Rami Saad,Ljusk Ola Eriksson
Pág. e013
Aim of study: To examine methods of incorporating risk and uncertainty to stand level forest decisions.Area of study: A case study examines a small forest holding from Jönköping, Sweden.Material and methods: We incorporate empirically estimated uncertain...
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Marcial Messmer and Francesco Audrino
We investigate whether Lasso-type linear methods are able to improve the predictive accuracy of OLS in selecting relevant firm characteristics for forecasting the future cross-section of stock returns. Through extensive Monte Carlo simulations, we show t...
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Fang-Le Peng, Yong-Kang Qiao and Chao Yang
Safety issues are a major concern for the long-term maintenance and operation of utility tunnels, of which the focal point lies in the reliability of critical facilities. Conventional evaluation methods have failed to reflect the time-dependency and obje...
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Sung-Eun Cho
The maintenance of water-retaining structures involves evaluating their performance against current and future operating water levels. Fragility curves are commonly used for this purpose, as they indicate the conditional probability of failure for variou...
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Mingyuan Huang, Dawei Cheng, Jia Zhou and Zhong Lu
Traditional reliability analysis methods such as Reliability Block Diagram, Fault Tree Analysis, and Markov Analysis are all subjective methods whose results significantly depend on the analysts? skills and experiences. A model-based reliability method i...
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Andreas Nugaard Holm, Dustin Wright and Isabelle Augenstein
Uncertainty approximation in text classification is an important area with applications in domain adaptation and interpretability. One of the most widely used uncertainty approximation methods is Monte Carlo (MC) dropout, which is computationally expensi...
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Mikhail Koroteev, Ekaterina Romanova, Dmitriy Korovin, Vasiliy Shevtsov, Vadim Feklin, Petr Nikitin, Sergey Makrushin and Konstantin V. Bublikov
The problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production bu...
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Hui Yao and Thomas Taimre
We consider the problem of estimating tail probabilities of random sums of scale mixture of phase-type distributions?a class of distributions corresponding to random variables which can be represented as a product of a non-negative but otherwise arbitrar...
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Nanami Taketomi, Hirofumi Michimae, Yuan-Tsung Chang and Takeshi Emura
Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James?Stein (JS) shrinkage estimator, isoton...
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Leonie S. Föhring, Peter Møller Juhl and Dietrich Wittekind
Low-frequency broadband shipping noise causes a growing concern for marine fauna together with the demand for noise reduction. Detailed analyses of the cavitation behaviour in the time domain serve as a prerequisite for steps toward quieter propellers. U...
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