Zeitschriftenartikel zum Thema „Stochastic processes Mathematical models“
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Veretennikov, Alexander. „Stochastic Processes and Models“. Bulletin of the London Mathematical Society 39, Nr. 1 (16.01.2007): 167–69. http://dx.doi.org/10.1112/blms/bdl020.
Jaeger, Herbert. „Observable Operator Models for Discrete Stochastic Time Series“. Neural Computation 12, Nr. 6 (01.06.2000): 1371–98. http://dx.doi.org/10.1162/089976600300015411.
Nikolova, Iveta. „On stochastic models in biology and medicine“. Asian-European Journal of Mathematics 13, Nr. 08 (21.05.2020): 2050168. http://dx.doi.org/10.1142/s1793557120501685.
Butov, Alexander A., Maxim A. Volkov, Viktor N. Golovanov, Anatoly A. Kovalenko, Boris M. Kostishko und Leonid M. Samoilov. „Mathematical Modeling of Main Classes of Stochastic Productive Systems“. Engineering Technologies and Systems 29, Nr. 4 (31.12.2019): 496–509. http://dx.doi.org/10.15507/2658-4123.029.201904.496-509.
Larina, Ludmila, Dmitryi Ruslyakov, Olga Tikhonova und Boris Kalmykov. „Research of processes of the heatmass transfer in the porous environments having stochastic characteristics on the basis of methods of applied synergetic“. E3S Web of Conferences 273 (2021): 01023. http://dx.doi.org/10.1051/e3sconf/202127301023.
Rota, Gian-Carlo. „Stochastic models for social processes“. Advances in Mathematics 57, Nr. 1 (Juli 1985): 91. http://dx.doi.org/10.1016/0001-8708(85)90110-0.
Belopolskaya, Ya I. „Stochastic Models of Chemotaxis Processes“. Journal of Mathematical Sciences 251, Nr. 1 (12.10.2020): 1–14. http://dx.doi.org/10.1007/s10958-020-05059-7.
Holubec, Viktor, Artem Ryabov, Sarah A. M. Loos und Klaus Kroy. „Equilibrium stochastic delay processes“. New Journal of Physics 24, Nr. 2 (01.02.2022): 023021. http://dx.doi.org/10.1088/1367-2630/ac4b91.
Anh, V. V., C. C. Heyde und Q. Tieng. „Stochastic models for fractal processes“. Journal of Statistical Planning and Inference 80, Nr. 1-2 (August 1999): 123–35. http://dx.doi.org/10.1016/s0378-3758(98)00246-8.
Butusov, O. B., O. P. Nikiforova und N. I. Redikultseva. „Mathematical methods for the analysis of migration processes on the basis of demographic data“. Izvestiya MGTU MAMI 9, Nr. 1-4 (10.07.2015): 21–25. http://dx.doi.org/10.17816/2074-0530-67102.
Wilks, Daniel S. „Effects of stochastic parametrization on conceptual climate models“. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, Nr. 1875 (29.04.2008): 2475–88. http://dx.doi.org/10.1098/rsta.2008.0005.
Averina, Tatyana A., und Konstantin A. Rybakov. „Using maximum cross section method for filtering jump-diffusion random processes“. Russian Journal of Numerical Analysis and Mathematical Modelling 35, Nr. 2 (28.04.2020): 55–67. http://dx.doi.org/10.1515/rnam-2020-0005.
Щелкалін, Віталій Миколайович. „Mathematical models and methods for prediction and control of interrelated nonstationary stochastic processes“. Technology audit and production reserves 6, Nr. 4(8) (13.12.2012): 29–30. http://dx.doi.org/10.15587/2312-8372.2012.5643.
MELNIK, RODERICK V. N., XILIN WEI und GABRIEL MORENO–HAGELSIEB. „NONLINEAR DYNAMICS OF CELL CYCLES WITH STOCHASTIC MATHEMATICAL MODELS“. Journal of Biological Systems 17, Nr. 03 (September 2009): 425–60. http://dx.doi.org/10.1142/s0218339009002879.
Safarova, Aygun, und Javida Damirova. „Research and modeling of oil refining technological processes operating in the condition of stochastic uncertainty“. EUREKA: Physics and Engineering, Nr. 5 (30.09.2022): 91–98. http://dx.doi.org/10.21303/2461-4262.2022.002523.
Victorov, Alexey S., und Olga N. Trapeznikova. „Stochastic Models Of Dynamic Balance State For The Morphological Patterns Of Cryolithozone Landscapes“. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, Nr. 3 (03.10.2019): 6–15. http://dx.doi.org/10.24057/2071-9388-2018-68.
Artikis, Constantinos T., und Panagiotis T. Artikis. „Processes of educational informatics incorporating stochastic models“. Journal of Interdisciplinary Mathematics 12, Nr. 4 (August 2009): 553–64. http://dx.doi.org/10.1080/09720502.2009.10700646.
Batchelder, William H., und John P. Boyd. „Models for behavior: Stochastic processes in psychology“. Journal of Mathematical Psychology 29, Nr. 1 (März 1985): 122–27. http://dx.doi.org/10.1016/0022-2496(85)90022-7.
Diosi, L. „Quantum stochastic processes as models for state vector reduction“. Journal of Physics A: Mathematical and General 21, Nr. 13 (07.07.1988): 2885–98. http://dx.doi.org/10.1088/0305-4470/21/13/013.
Schall, Jeffrey D., Thomas J. Palmeri und Gordon D. Logan. „Models of inhibitory control“. Philosophical Transactions of the Royal Society B: Biological Sciences 372, Nr. 1718 (27.02.2017): 20160193. http://dx.doi.org/10.1098/rstb.2016.0193.
Maccone, Claudio. „Evolution and mass extinctions as lognormal stochastic processes“. International Journal of Astrobiology 13, Nr. 4 (21.07.2014): 290–309. http://dx.doi.org/10.1017/s147355041400010x.
Duso, Lorenzo, und Christoph Zechner. „Stochastic reaction networks in dynamic compartment populations“. Proceedings of the National Academy of Sciences 117, Nr. 37 (31.08.2020): 22674–83. http://dx.doi.org/10.1073/pnas.2003734117.
CARNAFFAN, SEAN. „ANOMALOUS DIFFUSION PROCESSES: STOCHASTIC MODELS AND THEIR PROPERTIES“. Bulletin of the Australian Mathematical Society 101, Nr. 3 (27.03.2020): 514–17. http://dx.doi.org/10.1017/s0004972720000258.
LOWEN, STEVEN B., und MALVIN C. TEICH. „ESTIMATION AND SIMULATION OF FRACTAL STOCHASTIC POINT PROCESSES“. Fractals 03, Nr. 01 (März 1995): 183–210. http://dx.doi.org/10.1142/s0218348x95000151.
Pfeiffer, F., und A. Kunert. „Rattling models from deterministic to stochastic processes“. Nonlinear Dynamics 1, Nr. 1 (Januar 1990): 63–74. http://dx.doi.org/10.1007/bf01857585.
WEIDLICH, WOLFGANG. „SOCIODYNAMICS — A SYSTEMATIC APPROACH TO MATHEMATICAL MODELLING IN THE SOCIAL SCIENCES“. Fluctuation and Noise Letters 03, Nr. 02 (Juni 2003): L223—L232. http://dx.doi.org/10.1142/s0219477503001294.
Brockwell, Peter J. „Stochastic models in cell kinetics“. Journal of Applied Probability 25, A (1988): 91–111. http://dx.doi.org/10.2307/3214149.
COSTANTINI, CRISTINA, und THOMAS G. KURTZ. „DIFFUSION APPROXIMATION FOR TRANSPORT PROCESSES WITH GENERAL REFLECTION BOUNDARY CONDITIONS“. Mathematical Models and Methods in Applied Sciences 16, Nr. 05 (Mai 2006): 717–62. http://dx.doi.org/10.1142/s0218202506001339.
Cordoni, Francesco, und Luca Di Persio. „Backward Stochastic Differential Equations Approach to Hedging, Option Pricing, and Insurance Problems“. International Journal of Stochastic Analysis 2014 (11.09.2014): 1–11. http://dx.doi.org/10.1155/2014/152389.
Lazarova, Meglena Delcheva, Krasimira Prodanova und Leda Minkova. „Research Project DN 12/11/December 2017-January 2022 financed by the National Science Fund at the Ministry of Education and Science: "Stochastic and Simulation Models in medcine, social sciences and dynamic systems"“. Biomath Communications 9, Nr. 1 (16.02.2022): 1. http://dx.doi.org/10.11145/bmc.2022.02.161.
Lobato, Lucas C., Stephan Paul, Júlio A. Cordioli und Thiago G. Ritto. „Stochastic model of the human middle ear using a nonparametric probabilistic approach“. Journal of the Acoustical Society of America 151, Nr. 3 (März 2022): 2055–65. http://dx.doi.org/10.1121/10.0009763.
Hughes-Oliver, Jacqueline M., und Graciela González-Farı́as. „Parametric covariance models for shock-induced stochastic processes“. Journal of Statistical Planning and Inference 77, Nr. 1 (Februar 1999): 51–72. http://dx.doi.org/10.1016/s0378-3758(98)00186-4.
Hwan Cha, Ji, und Sophie Mercier. „Transformed Lévy processes as state-dependent wear models“. Advances in Applied Probability 51, Nr. 2 (Juni 2019): 468–86. http://dx.doi.org/10.1017/apr.2019.21.
Loomis, Samuel P., und James P. Crutchfield. „Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes“. Journal of Statistical Physics 176, Nr. 6 (26.06.2019): 1317–42. http://dx.doi.org/10.1007/s10955-019-02344-x.
Lee, Mei-Ling Ting, und G. Alex Whitmore. „Stochastic processes directed by randomized time“. Journal of Applied Probability 30, Nr. 2 (Juni 1993): 302–14. http://dx.doi.org/10.2307/3214840.
Velichkin, Vladimir, Vladimir Zavyalov, Elena Solodovnikova und Elena Filippova. „Mathematical descriptions of heat-mass-exchange processes in construction industry at control automation“. E3S Web of Conferences 97 (2019): 06021. http://dx.doi.org/10.1051/e3sconf/20199706021.
Etchegaray, Christèle, und Nicolas Meunier. „A Stochastic Model For Protrusion Activity“. ESAIM: Proceedings and Surveys 62 (2018): 56–67. http://dx.doi.org/10.1051/proc/201862056.
Otunuga, Olusegun M., und Gangaram Ladde. „Two-Scale Network Dynamic Model for Energy Commodity Processes“. Journal of Energy 2020 (20.04.2020): 1–59. http://dx.doi.org/10.1155/2020/2075258.
Chigarev, Anatoliy V., Michael A. Zhuravkov und Vitaliy A. Chigarev. „Deterministic and stochastic models of infection spread and testing in an isolated contingent“. Journal of the Belarusian State University. Mathematics and Informatics, Nr. 3 (19.11.2021): 57–67. http://dx.doi.org/10.33581/2520-6508-2021-3-57-67.
Aase, Knut K. „Stochastic control of geometric processes“. Journal of Applied Probability 24, Nr. 1 (März 1987): 97–104. http://dx.doi.org/10.2307/3214062.
Aase, Knut K. „Stochastic control of geometric processes“. Journal of Applied Probability 24, Nr. 01 (März 1987): 97–104. http://dx.doi.org/10.1017/s0021900200030643.
Andriyanov, Nikita A., Madina-Bonu R. Atakhodzhaeva und Evgeny I. Borodin. „Mathematical modeling of recommender system and data processing of a telecommunications company using machine learning models“. Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, Nr. 2 (April 2022): 17–28. http://dx.doi.org/10.14529/ctcr220202.
Filatov, V. O., A. L. Yerokhin, O. V. Zolotukhin und M. S. Kudryavtseva. „Hybrid simulation models for complex decision-making problems with partial uncertainty“. Information extraction and processing 2022, Nr. 50 (19.12.2022): 78–86. http://dx.doi.org/10.15407/vidbir2022.50.078.
Warne, David J., Ruth E. Baker und Matthew J. Simpson. „Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art“. Journal of The Royal Society Interface 16, Nr. 151 (Februar 2019): 20180943. http://dx.doi.org/10.1098/rsif.2018.0943.
Dumont, Grégory, Jacques Henry und Carmen Oana Tarniceriu. „A theoretical connection between the Noisy Leaky integrate-and-fire and the escape rate models: The non-autonomous case“. Mathematical Modelling of Natural Phenomena 15 (2020): 59. http://dx.doi.org/10.1051/mmnp/2020017.
Cairoli, Andrea, Rainer Klages und Adrian Baule. „Weak Galilean invariance as a selection principle for coarse-grained diffusive models“. Proceedings of the National Academy of Sciences 115, Nr. 22 (14.05.2018): 5714–19. http://dx.doi.org/10.1073/pnas.1717292115.
Linde, W. „STABLE NON-GAUSSIAN RANDOM PROCESSES: STOCHASTIC MODELS WITH INFINITE VARIANCE“. Bulletin of the London Mathematical Society 28, Nr. 5 (September 1996): 554–56. http://dx.doi.org/10.1112/blms/28.5.554.
TSENG, JIE-JUN, MING-JER LEE und SAI-PING LI. „HEAVY-TAILED DISTRIBUTIONS IN FATAL TRAFFIC ACCIDENTS: ROLE OF HUMAN ACTIVITIES“. International Journal of Modern Physics C 20, Nr. 08 (August 2009): 1281–90. http://dx.doi.org/10.1142/s0129183109014345.
Potapova, Nadin, Lyudmila Volontyr und Oksana Zelinska. „MATHEMATICAL AND STATISTICAL EVALUATION OF PROCESSES OF USING INFORMATION TECHNOLOGIES“. ENGINEERING, ENERGY, TRANSPORT AIC, Nr. 4(111) (18.12.2020): 61–71. http://dx.doi.org/10.37128/2520-6168-2020-4-7.
Lawson, Michael J., Linda Petzold und Andreas Hellander. „Accuracy of the Michaelis–Menten approximation when analysing effects of molecular noise“. Journal of The Royal Society Interface 12, Nr. 106 (Mai 2015): 20150054. http://dx.doi.org/10.1098/rsif.2015.0054.