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Artículos de revistas sobre el tema "Stochastic processes"

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Publicado: 4 de junio de 2021
Última modificación: 7 de diciembre de 2024

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1

Csenki, A. y J. Medhi. "Stochastic Processes." Statistician 45, n.º 3 (1996): 393. http://dx.doi.org/10.2307/2988486.

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2

Kedem, Benjamin y J. Medhi. "Stochastic Processes". Technometrics 38, n.º 1 (febrero de 1996): 85. http://dx.doi.org/10.2307/1268920.

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3

PE y Jyotiprasad Medhi. "Stochastic Processes." Journal of the American Statistical Association 90, n.º 430 (junio de 1995): 810. http://dx.doi.org/10.2307/2291116.

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4

MTW y Sheldon Ross. "Stochastic Processes." Journal of the American Statistical Association 91, n.º 436 (diciembre de 1996): 1754. http://dx.doi.org/10.2307/2291619.

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5

Medhi, J. "Stochastic Processes." Biometrics 51, n.º 1 (marzo de 1995): 387. http://dx.doi.org/10.2307/2533368.

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6

PE y Emanuel Parzen. "Stochastic Processes". Journal of the American Statistical Association 95, n.º 451 (septiembre de 2000): 1020. http://dx.doi.org/10.2307/2669508.

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7

Frey, Michael. "Stochastic Processes". Technometrics 35, n.º 3 (agosto de 1993): 329–30. http://dx.doi.org/10.1080/00401706.1993.10485336.

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8

Frey, Michael. "Stochastic Processes". Technometrics 39, n.º 2 (mayo de 1997): 230–31. http://dx.doi.org/10.1080/00401706.1997.10485094.

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9

Saunders, Ian W. y Sheldon M. Ross. "Stochastic Processes." Journal of the American Statistical Association 80, n.º 389 (marzo de 1985): 250. http://dx.doi.org/10.2307/2288101.

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10

Casas, J. M., M. Ladra y U. A. Rozikov. "Markov processes of cubic stochastic matrices: Quadratic stochastic processes". Linear Algebra and its Applications 575 (agosto de 2019): 273–98. http://dx.doi.org/10.1016/j.laa.2019.04.016.

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11

Urbanik, K. "Analytic stochastic processes". Studia Mathematica 89, n.º 3 (1988): 261–80. http://dx.doi.org/10.4064/sm-89-3-261-280.

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12

Freeman, J. M. y R. G. Gallager. "Discrete Stochastic Processes." Journal of the Operational Research Society 48, n.º 1 (enero de 1997): 103. http://dx.doi.org/10.2307/3009951.

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13

Lund, Robert B., Zdzislaw Brzezniak y Tomasz Zastawniak. "Basic Stochastic Processes". Journal of the American Statistical Association 95, n.º 451 (septiembre de 2000): 1019. http://dx.doi.org/10.2307/2669504.

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14

Hoffmann, Marc. "Stationary Stochastic Processes". CHANCE 26, n.º 3 (septiembre de 2013): 56–57. http://dx.doi.org/10.1080/09332480.2013.845460.

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15

Dümbgen, Lutz. "Combinatorial stochastic processes". Stochastic Processes and their Applications 52, n.º 1 (agosto de 1994): 75–92. http://dx.doi.org/10.1016/0304-4149(94)90101-5.

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16

Gallager, R. G. "Discrete Stochastic Processes". Journal of the Operational Research Society 48, n.º 1 (enero de 1997): 103. http://dx.doi.org/10.1057/palgrave.jors.2600329.

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17

Gallager, R. G. "Discrete Stochastic Processes". Journal of the Operational Research Society 48, n.º 1 (1997): 103–0103. http://dx.doi.org/10.1038/sj.jors.2600329.

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18

Gudder, Stanley. "Quantum stochastic processes". Foundations of Physics 20, n.º 11 (noviembre de 1990): 1345–63. http://dx.doi.org/10.1007/bf01883490.

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19

Dinculeanu, Nicolae. "Vector-valued stochastic processes. V. Optional and predictable variation of stochastic measures and stochastic processes". Proceedings of the American Mathematical Society 104, n.º 2 (1 de febrero de 1988): 625. http://dx.doi.org/10.1090/s0002-9939-1988-0962839-8.

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20

Metcalfe, A. V. y G. F. Lawler. "Introduction to Stochastic Processes." Statistician 45, n.º 4 (1996): 533. http://dx.doi.org/10.2307/2988557.

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21

Bingham, Nick y E. Cinlar. "Seminar on Stochastic Processes." Applied Statistics 42, n.º 2 (1993): 408. http://dx.doi.org/10.2307/2986243.

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22

Applebaum, David, P. W. Jones y P. Smith. "Stochastic Processes, an Introduction". Mathematical Gazette 86, n.º 507 (noviembre de 2002): 567. http://dx.doi.org/10.2307/3621201.

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23

Kirmani, S. N. U. A., R. N. Bhattacharya y E. C. Waymire. "Stochastic Processes with Applications". Technometrics 34, n.º 1 (febrero de 1992): 99. http://dx.doi.org/10.2307/1269558.

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24

Aurzada, Frank, Martin Kolb, Francoise Pène y Vitali Wachtel. "Stochastic Processes under Constraints". Oberwolfach Reports 17, n.º 4 (13 de septiembre de 2021): 1601–56. http://dx.doi.org/10.4171/owr/2020/32.

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25

Holubec, Viktor, Artem Ryabov, Sarah A. M. Loos y Klaus Kroy. "Equilibrium stochastic delay processes". New Journal of Physics 24, n.º 2 (1 de febrero de 2022): 023021. http://dx.doi.org/10.1088/1367-2630/ac4b91.

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Abstract Stochastic processes with temporal delay play an important role in science and engineering whenever finite speeds of signal transmission and processing occur. However, an exact mathematical analysis of their dynamics and thermodynamics is available for linear models only. We introduce a class of stochastic delay processes with nonlinear time-local forces and linear time-delayed forces that obey fluctuation theorems and converge to a Boltzmann equilibrium at long times. From the point of view of control theory, such ‘equilibrium stochastic delay processes’ are stable and energetically passive, by construction. Computationally, they provide diverse exact constraints on general nonlinear stochastic delay problems and can, in various situations, serve as a starting point for their perturbative analysis. Physically, they admit an interpretation in terms of an underdamped Brownian particle that is either subjected to a time-local force in a non-Markovian thermal bath or to a delayed feedback force in a Markovian thermal bath. We illustrate these properties numerically for a setup familiar from feedback cooling and point out experimental implications.
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26

Robinson, P. M. y David Pollard. "Convergence of Stochastic Processes." Economica 52, n.º 208 (noviembre de 1985): 529. http://dx.doi.org/10.2307/2553898.

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27

Barbour, A. D. y Sidney I. Resnick. "Adventures in Stochastic Processes." Journal of the American Statistical Association 88, n.º 424 (diciembre de 1993): 1474. http://dx.doi.org/10.2307/2291307.

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28

PE y G. F. Lawler. "Introduction to Stochastic Processes." Journal of the American Statistical Association 90, n.º 432 (diciembre de 1995): 1493. http://dx.doi.org/10.2307/2291555.

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29

Urbanik, K. "Analytic stochastic processes II". Studia Mathematica 97, n.º 3 (1990): 253–65. http://dx.doi.org/10.4064/sm-97-3-253-265.

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30

Lawler, G. F. "Introduction to Stochastic Processes." Biometrics 53, n.º 2 (junio de 1997): 783. http://dx.doi.org/10.2307/2533988.

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31

Shanmugam, Ramalingam. "Stochastic processes with applications". Journal of Statistical Computation and Simulation 83, n.º 3 (marzo de 2013): 597–98. http://dx.doi.org/10.1080/00949655.2012.654634.

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32

Freeman, Jim y J. Medhi. "Stochastic Processes (Second Edition)." Journal of the Operational Research Society 47, n.º 6 (junio de 1996): 836. http://dx.doi.org/10.2307/3010294.

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33

Mathar, Rudolf, Roy D. Yates y David J. Goodman. "Probability and Stochastic Processes". Journal of the American Statistical Association 94, n.º 448 (diciembre de 1999): 1387. http://dx.doi.org/10.2307/2669957.

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34

Veretennikov, Alexander. "Stochastic Processes and Models". Bulletin of the London Mathematical Society 39, n.º 1 (16 de enero de 2007): 167–69. http://dx.doi.org/10.1112/blms/bdl020.

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35

Kailath, T. y H. V. Poor. "Detection of stochastic processes". IEEE Transactions on Information Theory 44, n.º 6 (1998): 2230–31. http://dx.doi.org/10.1109/18.720538.

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36

Airila, M. I. y O. Dumbrajs. "Stochastic processes in gyrotrons". Nuclear Fusion 43, n.º 11 (noviembre de 2003): 1446–53. http://dx.doi.org/10.1088/0029-5515/43/11/017.

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37

Lund, Robert. "Stochastic Processes. An Introduction". American Statistician 56, n.º 4 (noviembre de 2002): 332–33. http://dx.doi.org/10.1198/tas.2002.s205.

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38

Fricks, John. "Stochastic Processes and Models". Journal of the American Statistical Association 102, n.º 477 (marzo de 2007): 381. http://dx.doi.org/10.1198/jasa.2007.s166.

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39

Bujorianu, Marius C., Manuela L. Bujorianu y John Lygeros. "TRUE CONCURRENT STOCHASTIC PROCESSES". IFAC Proceedings Volumes 38, n.º 1 (2005): 260–65. http://dx.doi.org/10.3182/20050703-6-cz-1902.00396.

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40

Bauwens, L. "Stochastic Conditional Intensity Processes". Journal of Financial Econometrics 4, n.º 3 (17 de mayo de 2006): 450–93. http://dx.doi.org/10.1093/jjfinec/nbj013.

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41

Guillas, Serge. "Doubly stochastic Hilbertian processes". Journal of Applied Probability 39, n.º 3 (septiembre de 2002): 566–80. http://dx.doi.org/10.1239/jap/1034082128.

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In this paper, we consider a Hilbert-space-valued autoregressive stochastic sequence (Xn) with several regimes. We suppose that the underlying process (In) which drives the evolution of (Xn) is stationary. Under some dependence assumptions on (In), we prove the existence of a unique stationary solution, and with a symmetric compact autocorrelation operator, we can state a law of large numbers with rates and the consistency of the covariance estimator. An overall hypothesis states that the regimes where the autocorrelation operator's norm is greater than 1 should be rarely visited.
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42

Freeman, Jim. "Stochastic Processes (Second Edition)". Journal of the Operational Research Society 47, n.º 6 (junio de 1996): 836–37. http://dx.doi.org/10.1057/jors.1996.106.

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43

Eleutério, Samuel y R. Vilela Mendes. "Stochastic ground-state processes". Physical Review B 50, n.º 8 (15 de agosto de 1994): 5035–40. http://dx.doi.org/10.1103/physrevb.50.5035.

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44

Wendelberger, Joanne R. "Adventures in Stochastic Processes". Technometrics 35, n.º 4 (noviembre de 1993): 461. http://dx.doi.org/10.1080/00401706.1993.10485374.

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45

Antoniou, I. y K. Gustafson. "Wavelets and stochastic processes". Mathematics and Computers in Simulation 49, n.º 1-2 (julio de 1999): 81–104. http://dx.doi.org/10.1016/s0378-4754(99)00009-9.

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46

Hardin, Russell. "Ethics and Stochastic Processes". Social Philosophy and Policy 7, n.º 1 (1989): 69–80. http://dx.doi.org/10.1017/s0265052500001023.

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There is some irony, and perhaps a bit of gallows humor, in opening a paper in this volume with the claim that “applied ethics” is a misnomer. Yet that claim is true in the following sense. What we need for most of the issues that have sparked the contemporary resurgence of moral and political theory is not the application of ethics as we know it, but the revamping of ethics to make it relevant to the issues we face. It is in our concern with major policy programs that ethics and political philosophy are most commonly rejoined to become a unified enquiry after a nearly complete separation through most of this century. Yet, ethical theories may be shaken to their foundations by our effort to apply them to policy problems. I do not propose to revamp ethics here, but only to show that much ethical theory cannot readily be applied to major policy problems.There are at least three important characteristics of major policy issues in general that may give traditional moral theories difficulties. First, such issues can generally be handled only by institutional intervention; they commonly cannot be resolved through uncoordinated individual action. Theories formulated at the individual level must therefore be recast to handle institutional actions and possibilities. Second, major policy issues typically have complicating strategic interactions between individuals at their bases. Third, they are inherently stochastic in the important sense that they affect large numbers with more or less determinable (or merely guessable) probabilities. C. H. Waddington calls such issues instances of “the problem of the ethics of stochastic processes.”
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47

Kern, Peter y Lina Wedrich. "Dilatively semistable stochastic processes". Statistics & Probability Letters 99 (abril de 2015): 101–8. http://dx.doi.org/10.1016/j.spl.2015.01.008.

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48

Guillas, Serge. "Doubly stochastic Hilbertian processes". Journal of Applied Probability 39, n.º 03 (septiembre de 2002): 566–80. http://dx.doi.org/10.1017/s002190020002180x.

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In this paper, we consider a Hilbert-space-valued autoregressive stochastic sequence (X n ) with several regimes. We suppose that the underlying process (I n ) which drives the evolution of (X n ) is stationary. Under some dependence assumptions on (I n ), we prove the existence of a unique stationary solution, and with a symmetric compact autocorrelation operator, we can state a law of large numbers with rates and the consistency of the covariance estimator. An overall hypothesis states that the regimes where the autocorrelation operator's norm is greater than 1 should be rarely visited.
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49

Singh, Pradyumna S. y Serge G. Lemay. "Stochastic Processes in Electrochemistry". Analytical Chemistry 88, n.º 10 (5 de mayo de 2016): 5017–27. http://dx.doi.org/10.1021/acs.analchem.6b00683.

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50

Fleming, Wendell H. "Max-Plus Stochastic Processes". Applied Mathematics and Optimization 49, n.º 2 (1 de marzo de 2004): 159–81. http://dx.doi.org/10.1007/s00245-003-0785-3.

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