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Journal articles on the topic 'Stochastic processes'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Csenki, A., and J. Medhi. "Stochastic Processes." Statistician 45, no. 3 (1996): 393. http://dx.doi.org/10.2307/2988486.

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2

Kedem, Benjamin, and J. Medhi. "Stochastic Processes." Technometrics 38, no. 1 (1996): 85. http://dx.doi.org/10.2307/1268920.

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3

PE and Jyotiprasad Medhi. "Stochastic Processes." Journal of the American Statistical Association 90, no. 430 (1995): 810. http://dx.doi.org/10.2307/2291116.

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4

MTW and Sheldon Ross. "Stochastic Processes." Journal of the American Statistical Association 91, no. 436 (1996): 1754. http://dx.doi.org/10.2307/2291619.

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5

Medhi, J. "Stochastic Processes." Biometrics 51, no. 1 (1995): 387. http://dx.doi.org/10.2307/2533368.

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6

PE and Emanuel Parzen. "Stochastic Processes." Journal of the American Statistical Association 95, no. 451 (2000): 1020. http://dx.doi.org/10.2307/2669508.

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7

Frey, Michael. "Stochastic Processes." Technometrics 35, no. 3 (1993): 329–30. http://dx.doi.org/10.1080/00401706.1993.10485336.

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8

Frey, Michael. "Stochastic Processes." Technometrics 39, no. 2 (1997): 230–31. http://dx.doi.org/10.1080/00401706.1997.10485094.

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9

Saunders, Ian W., and Sheldon M. Ross. "Stochastic Processes." Journal of the American Statistical Association 80, no. 389 (1985): 250. http://dx.doi.org/10.2307/2288101.

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10

Casas, J. M., M. Ladra, and U. A. Rozikov. "Markov processes of cubic stochastic matrices: Quadratic stochastic processes." Linear Algebra and its Applications 575 (August 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, no. 3 (1988): 261–80. http://dx.doi.org/10.4064/sm-89-3-261-280.

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12

Freeman, J. M., and R. G. Gallager. "Discrete Stochastic Processes." Journal of the Operational Research Society 48, no. 1 (1997): 103. http://dx.doi.org/10.2307/3009951.

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13

Lund, Robert B., Zdzislaw Brzezniak, and Tomasz Zastawniak. "Basic Stochastic Processes." Journal of the American Statistical Association 95, no. 451 (2000): 1019. http://dx.doi.org/10.2307/2669504.

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14

Hoffmann, Marc. "Stationary Stochastic Processes." CHANCE 26, no. 3 (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, no. 1 (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, no. 1 (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, no. 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, no. 11 (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, no. 2 (1988): 625. http://dx.doi.org/10.1090/s0002-9939-1988-0962839-8.

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20

Nataliia, Oberemok, and Oberemok Ivan. "STOCHASTIC PROCESSES IN PROJECT MANAGEMENT." EUREKA: Social and Humanities, no. 6 (November 29, 2018): 3–9. https://doi.org/10.21303/2504-5571.2018.00799.

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Performance of planned activities not always leads to the achievement of planned results in innovation projects with a high degree of uncertainty. Management of such specific projects requires the usage of specific methods and processes. It is necessary to develop own stochastic process methods rather than use classical methods of deterministic management.  The main peculiarity of stochastic processes of projects consists in the inability to carry out more than one experiment. Implementation of a project is a stochastic process, which is carried out only once.  For the purposes of th

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21

Metcalfe, A. V., and G. F. Lawler. "Introduction to Stochastic Processes." Statistician 45, no. 4 (1996): 533. http://dx.doi.org/10.2307/2988557.

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22

Bingham, Nick, and E. Cinlar. "Seminar on Stochastic Processes." Applied Statistics 42, no. 2 (1993): 408. http://dx.doi.org/10.2307/2986243.

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23

Applebaum, David, P. W. Jones, and P. Smith. "Stochastic Processes, an Introduction." Mathematical Gazette 86, no. 507 (2002): 567. http://dx.doi.org/10.2307/3621201.

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24

Kirmani, S. N. U. A., R. N. Bhattacharya, and E. C. Waymire. "Stochastic Processes with Applications." Technometrics 34, no. 1 (1992): 99. http://dx.doi.org/10.2307/1269558.

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25

Aurzada, Frank, Martin Kolb, Francoise Pène, and Vitali Wachtel. "Stochastic Processes under Constraints." Oberwolfach Reports 17, no. 4 (2021): 1601–56. http://dx.doi.org/10.4171/owr/2020/32.

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26

Holubec, Viktor, Artem Ryabov, Sarah A. M. Loos, and Klaus Kroy. "Equilibrium stochastic delay processes." New Journal of Physics 24, no. 2 (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

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27

Robinson, P. M., and David Pollard. "Convergence of Stochastic Processes." Economica 52, no. 208 (1985): 529. http://dx.doi.org/10.2307/2553898.

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28

Barbour, A. D., and Sidney I. Resnick. "Adventures in Stochastic Processes." Journal of the American Statistical Association 88, no. 424 (1993): 1474. http://dx.doi.org/10.2307/2291307.

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29

PE and G. F. Lawler. "Introduction to Stochastic Processes." Journal of the American Statistical Association 90, no. 432 (1995): 1493. http://dx.doi.org/10.2307/2291555.

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30

Urbanik, K. "Analytic stochastic processes II." Studia Mathematica 97, no. 3 (1990): 253–65. http://dx.doi.org/10.4064/sm-97-3-253-265.

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31

Lawler, G. F. "Introduction to Stochastic Processes." Biometrics 53, no. 2 (1997): 783. http://dx.doi.org/10.2307/2533988.

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32

Shanmugam, Ramalingam. "Stochastic processes with applications." Journal of Statistical Computation and Simulation 83, no. 3 (2013): 597–98. http://dx.doi.org/10.1080/00949655.2012.654634.

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33

Freeman, Jim, and J. Medhi. "Stochastic Processes (Second Edition)." Journal of the Operational Research Society 47, no. 6 (1996): 836. http://dx.doi.org/10.2307/3010294.

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34

Mathar, Rudolf, Roy D. Yates, and David J. Goodman. "Probability and Stochastic Processes." Journal of the American Statistical Association 94, no. 448 (1999): 1387. http://dx.doi.org/10.2307/2669957.

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35

Veretennikov, Alexander. "Stochastic Processes and Models." Bulletin of the London Mathematical Society 39, no. 1 (2007): 167–69. http://dx.doi.org/10.1112/blms/bdl020.

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36

Kailath, T., and H. V. Poor. "Detection of stochastic processes." IEEE Transactions on Information Theory 44, no. 6 (1998): 2230–31. http://dx.doi.org/10.1109/18.720538.

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37

Airila, M. I., and O. Dumbrajs. "Stochastic processes in gyrotrons." Nuclear Fusion 43, no. 11 (2003): 1446–53. http://dx.doi.org/10.1088/0029-5515/43/11/017.

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38

Lund, Robert. "Stochastic Processes. An Introduction." American Statistician 56, no. 4 (2002): 332–33. http://dx.doi.org/10.1198/tas.2002.s205.

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39

Fricks, John. "Stochastic Processes and Models." Journal of the American Statistical Association 102, no. 477 (2007): 381. http://dx.doi.org/10.1198/jasa.2007.s166.

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40

Bujorianu, Marius C., Manuela L. Bujorianu, and John Lygeros. "TRUE CONCURRENT STOCHASTIC PROCESSES." IFAC Proceedings Volumes 38, no. 1 (2005): 260–65. http://dx.doi.org/10.3182/20050703-6-cz-1902.00396.

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41

Bauwens, L. "Stochastic Conditional Intensity Processes." Journal of Financial Econometrics 4, no. 3 (2006): 450–93. http://dx.doi.org/10.1093/jjfinec/nbj013.

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42

Guillas, Serge. "Doubly stochastic Hilbertian processes." Journal of Applied Probability 39, no. 3 (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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43

Freeman, Jim. "Stochastic Processes (Second Edition)." Journal of the Operational Research Society 47, no. 6 (1996): 836–37. http://dx.doi.org/10.1057/jors.1996.106.

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44

Eleutério, Samuel, and R. Vilela Mendes. "Stochastic ground-state processes." Physical Review B 50, no. 8 (1994): 5035–40. http://dx.doi.org/10.1103/physrevb.50.5035.

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45

Wendelberger, Joanne R. "Adventures in Stochastic Processes." Technometrics 35, no. 4 (1993): 461. http://dx.doi.org/10.1080/00401706.1993.10485374.

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46

Antoniou, I., and K. Gustafson. "Wavelets and stochastic processes." Mathematics and Computers in Simulation 49, no. 1-2 (1999): 81–104. http://dx.doi.org/10.1016/s0378-4754(99)00009-9.

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47

Hardin, Russell. "Ethics and Stochastic Processes." Social Philosophy and Policy 7, no. 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 thro

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48

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

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49

Guillas, Serge. "Doubly stochastic Hilbertian processes." Journal of Applied Probability 39, no. 03 (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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50

Singh, Pradyumna S., and Serge G. Lemay. "Stochastic Processes in Electrochemistry." Analytical Chemistry 88, no. 10 (2016): 5017–27. http://dx.doi.org/10.1021/acs.analchem.6b00683.

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