Results 211 to 220 of about 161,383 (266)
Arthritis &Rheumatology, EarlyView.Objective Treatment of childhood chronic idiopathic uveitis (cCIU) is predominantly based on studies in juvenile idiopathic arthritis–associated uveitis and expert opinion. Our aim was to report the treatment outcomes of our cohort of cCIU. Methods Retrospective multicenter study involving the rheumatology and ophthalmology units at Florence, Italy ...
Ilaria Maccora +5 more
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Arthritis &Rheumatology, EarlyView.Objective To identify autoantibodies in presymptomatic individuals that associate with the onset of rheumatoid arthritis (RA) and to distinguish early RA from osteoarthritis (OA), particularly in individuals lacking classic RA serologic markers. Methods We analyzed serum and plasma from three cohorts: presymptomatic individuals who later developed RA ...
Outi Sareila +12 more
wiley +1 more source
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Journal of the American Statistical Association, 1949
Abstract In this paper Metropolis and Ulam gave a brief introduction to “the Monte Carlo method” which is described as a statistical approach to the study of differential equations as applied by Metropolis, Ulam, Fermi, von Neumann, Feynman, and others at the Los Alamos Laboratory in the 1940s.0 Several examples of applications of ...
N, METROPOLIS, S, ULAM
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Abstract In this paper Metropolis and Ulam gave a brief introduction to “the Monte Carlo method” which is described as a statistical approach to the study of differential equations as applied by Metropolis, Ulam, Fermi, von Neumann, Feynman, and others at the Los Alamos Laboratory in the 1940s.0 Several examples of applications of ...
N, METROPOLIS, S, ULAM
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Monte Carlo and Quasi-Monte Carlo Methods
2020Monte Carlo is one of the most versatile and widely used numerical methods. Its convergence rate, O(N~1^2), is independent of dimension, which shows Monte Carlo to be very robust but also slow. This article presents an introduction to Monte Carlo methods for integration problems, including convergence theory, sampling methods and variance reduction ...
Tuffin, Bruno, L'Écuyer, Pierre
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GEM - International Journal on Geomathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Computing in Science & Engineering, 2006
Although the Metropolis algorithm dates back to at least 1953, the fact that it could be used for approximate counting has become clear only in recent years. An algorithm specifically designed for counting was created around the same time as the Metropolis algorithm by some of the same researchers. This other Monte Carlo method, now known as sequential
Isabel Beichl, Francis Sullivan
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Although the Metropolis algorithm dates back to at least 1953, the fact that it could be used for approximate counting has become clear only in recent years. An algorithm specifically designed for counting was created around the same time as the Metropolis algorithm by some of the same researchers. This other Monte Carlo method, now known as sequential
Isabel Beichl, Francis Sullivan
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Journal of the Society for Industrial and Applied Mathematics, 1958
A description of the many facets of the Monte Carlo Method is presented. The subject is traversed from the most elementary to the more difficult techniques, and from the least practical to the most fruitful applications. The generation of random numbers in the modern electronic computing machine is dealt with.
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A description of the many facets of the Monte Carlo Method is presented. The subject is traversed from the most elementary to the more difficult techniques, and from the least practical to the most fruitful applications. The generation of random numbers in the modern electronic computing machine is dealt with.
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Monte Carlo and Quasi-Monte Carlo Methods
2013Chapter 12 discusses Monte Carlo and quasi-Monte Carlo methods and demonstrates how these techniques can be used to compute functionals of multidimensional diffusions. Monte Carlo methods feature prominently in this book, in particular we discuss how to use Lie Symmetry methods to construct unbiased Monte Carlo estimators in Chap. 6, and we discuss how
Jan Baldeaux, Eckhard Platen
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The multicanonical Monte Carlo method
Computing in Science & Engineering, 2000In recent years, several new Monte Carlo methods have proven to be very effective for sampling from multimodal energy landscapes, like those found near a first-order phase transition or in a glassy material. In this column, we will summarize the theoretical structure of one of these methods, the multicanonical method,1,2 as it is perhaps the most ...
James E. Gubernatis, Naomichi Hatano
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