Valérie Bonadona, MD, PhD Bernard Bonaı̈ti, MSc Sylviane Olschwang, MD, PhD Sophie Grandjouan, MD Laetitia Huiart, MD Michel Longy, MD, PhD Rosine Guimbaud, MD Bruno Buecher, MD, PhD Yves-Jean Bignon, MD, PhD Olivier Caron, MD Chrystelle Colas, MD Catherine Noguès, MD Sophie Lejeune-Dumoulin, MD Laurence Olivier-Faivre, MD, PhD Florence Polycarpe-Osaer, MD Tan Dat Nguyen, MD Françoise Desseigne,...

This paper compares the performance, in terms of convergence rates and precision of the estimates, for six Monte Carlo Simulation sampling methods: Quasi-Monte Carlo using Halton, Sobol, and Faure numeric sequences; Descriptive Sampling, based on the use of deterministic sets and Latin Hypercube Sampling, based on stratified numerical sets. Those methods are compared to the classical Monte Carl...

Monte Carlo simulations are based on Random Number Generators (RNG). Drawing random numbers often constitutes a considerable part of simulation time. Unrolling random numbers is a way to accelerate Monte Carlo simulations appreciably by speeding up any RNG. This method consists in a pre-generation and storage of random numbers in an array of values. This array is either directly included in the...

A framework to perform quantification and reduction of uncertainties in a wind turbine numerical model using global sensitivity analysis recursive Bayesian inference method is developed this paper. We explain how prior probability distribution on the parameters transformed into posterior distribution, by incorporating physical real field noisy observations. Nevertheless, these approaches suffer...

Sensitivity analysis (SA) can aid in identifying influential model parameters and optimizing model structure, yet infectious disease modelling has yet to adopt advanced SA techniques that are capable of providing considerable insights over traditional methods. We investigate five global SA methods-scatter plots, the Morris and Sobol' methods, Latin hypercube sampling-partial rank correlation co...

6. Crosby JK, Carrell R, Reed WA: Operative management of valvular complications of bacterial endocarditis. J Thorac Cardiovasc Surg 64: 235, 1972 7. Arnett EN, Roberts WC: Valve ring abscess in active infective endocarditis. Frequency, location and clues to clinical diagnosis from the study of 95 necropsy patients. Circulation 54: 140, 1976 8. Burnside JW, DeSanctis RW: Bacterial endocarditis ...

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