Mostrando 561 - 580 Resultados de 645 Para Buscar '"probability theory"', tiempo de consulta: 0.19s Limitar resultados
  1. 561
    por Tan, Xiao, Zhu, Jianjun, Wu, Tong
    Publicado 2022
    “…We present a consensus improvement mechanism based on prospect theory and quantum probability theory (QPT) that enables the manifestation of irrational and uncertain behaviors of decision makers (DMs) in linguistic distribution group decision making. …”
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  2. 562
    “…Thus, decision-making criteria based on probability theory are not suitable for people to make decisions. …”
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  3. 563
    “…Taken all together, the papers contained in this volume reflect the main directions of the most up-to-date research in probability theory. FROM THE CONTENTS: J.P. Ansal, C. Stricker: Unicite et existence de la loi minimale.- K. …”
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  4. 564
    por Odwell, Edward, Rosenthal, Haskell
    Publicado 1991
    “…The papers in this volume yield a variety of powerful tools for penetrating the structure of Banach spaces, including the following topics: the structure of Baire-class one functions with Banach space applications, operator extension problems, the structure of Banach lattices tensor products of operators and Banach spaces, Banach spaces of certain classes of Fourier series, uniformly stable Banach spaces, the hyperplane conjecture for convex bodies, and applications of probability theory to local Banach space structure. With contributions by: R. …”
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  5. 565
    por Liu, Wei, Röckner, Michael
    Publicado 2015
    “…SPDEs are one of the main research directions in probability theory with several wide ranging applications. …”
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  6. 566
    por Schay, Géza
    Publicado 2016
    “…<advanced undergraduate="" and="" graduate="" students="" in="" computer="" science,="" engineering,="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications.Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. … the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ … Each new concept is clearly explained and is followed by many detailed examples. … numerous examples of calculations are given and proofs are well-detailed." …”
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  7. 567
    por Silvestrov, Sergei, Rancic, Milica
    Publicado 2016
    “…It addresses mathematical methods of algebra, applied matrix analysis, operator analysis, probability theory and stochastic processes, geometry and computational methods in network analysis, data classification, ranking and optimisation. …”
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  8. 568
    por Tu, Loring W
    Publicado 2017
    “…The field has even found applications to group theory as in Gromov's work and to probability theory as in Diaconis's work. It is not too far-fetched to argue that differential geometry should be in every mathematician's arsenal.…”
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  9. 569
    por Taleb, Nassim Nicholas
    Publicado 2010
    “…He has a polymathic command of subjects ranging from cognitive science to business to probability theory. The Black Swan is a landmark book—itself a black swan.…”
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  10. 570
    “…Foundational issues involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories, are also of keen interest.…”
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  11. 571
    por Wu, Changbao, Thompson, Mary E
    Publicado 2020
    “…Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. …”
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  12. 572
    por De Carlo, Leonardo, Wick, William D.
    Publicado 2023
    “…Our principle technique involves transforming the problem to one in probability theory, then applying results from large deviations, particularly the Gärtner–Ellis Theorem. …”
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  13. 573
    “…As with probability theory, uncertainty theory has been developed, in recent years, to portray indeterminacy phenomena in various application scenarios. …”
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  14. 574
    “…The other one is that it uses the Probability Theory and Mathematical Statistics and once again utilizes the SA idea to deal with the data obtained from the improved PSO-based process to get the final solution. …”
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  15. 575
    “…Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However, the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. …”
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  16. 576
    “…In this paper, numerical solutions expressing the functional relationship between the scanline-observational distribution (in one-dimensional space) and the inherent distribution (in three-dimensional space) are derived using probability theory and calculus under the independence hypothesis of dip direction and dip angle. …”
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  17. 577
    “…Evidence shows promise of a more general quantum theory providing a better explanation of the dynamics and structure of real decision-making processes than classical probability theory. Inspired by this, we show how the behavioral choice-probabilities can arise as the unique stationary distribution of quantum stochastic walkers on the classical network defined from Luce’s response probabilities. …”
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  18. 578
    “…Next, we apply a method based on the “coupon collector” probability theory to construct a curve of upper bound estimates of the sampling size required for any desired variant coverage. …”
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  19. 579
    “…The second uses a natural language processing approach and probability theory to describe foods. The third combines the result from the first and the second part by defining post-processing rules in order to improve the result for the classification part. …”
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  20. 580
    “…In a Bayesian framework, the marginal likelihood is how data update our prior beliefs about models, which gives us an intuitive measure of comparing model fit that is grounded in probability theory. Given the rapid increase in the number and complexity of phylogenetic models, methods for approximating marginal likelihoods are increasingly important. …”
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