Literatura académica sobre el tema "Markov approximation"
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Artículos de revistas sobre el tema "Markov approximation"
Butko, Yana A. "Chernoff approximation of subordinate semigroups". Stochastics and Dynamics 18, n.º 03 (18 de mayo de 2018): 1850021. http://dx.doi.org/10.1142/s0219493718500211.
Texto completoPatseika, Pavel G., Yauheni A. Rouba y Kanstantin A. Smatrytski. "On one rational integral operator of Fourier – Chebyshev type and approximation of Markov functions". Journal of the Belarusian State University. Mathematics and Informatics, n.º 2 (30 de julio de 2020): 6–27. http://dx.doi.org/10.33581/2520-6508-2020-2-6-27.
Texto completoPeköz, Erol A. "Stein's method for geometric approximation". Journal of Applied Probability 33, n.º 3 (septiembre de 1996): 707–13. http://dx.doi.org/10.2307/3215352.
Texto completoPeköz, Erol A. "Stein's method for geometric approximation". Journal of Applied Probability 33, n.º 03 (septiembre de 1996): 707–13. http://dx.doi.org/10.1017/s0021900200100142.
Texto completoHeinzmann, Dominik. "Extinction Times in Multitype Markov Branching Processes". Journal of Applied Probability 46, n.º 1 (marzo de 2009): 296–307. http://dx.doi.org/10.1239/jap/1238592131.
Texto completoHeinzmann, Dominik. "Extinction Times in Multitype Markov Branching Processes". Journal of Applied Probability 46, n.º 01 (marzo de 2009): 296–307. http://dx.doi.org/10.1017/s0021900200005374.
Texto completoGuo, Yuanzhen, Hao Xiong y Nicholas Ruozzi. "Marginal Inference in Continuous Markov Random Fields Using Mixtures". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 7834–41. http://dx.doi.org/10.1609/aaai.v33i01.33017834.
Texto completoAnichkin, S. A. y V. V. Kalashnikov. "Approximation of Markov chains". Journal of Soviet Mathematics 32, n.º 1 (enero de 1986): 1–8. http://dx.doi.org/10.1007/bf01084492.
Texto completoRolski, Tomasz. "Approximation of periodic queues". Advances in Applied Probability 19, n.º 3 (septiembre de 1987): 691–707. http://dx.doi.org/10.2307/1427413.
Texto completoRolski, Tomasz. "Approximation of periodic queues". Advances in Applied Probability 19, n.º 03 (septiembre de 1987): 691–707. http://dx.doi.org/10.1017/s0001867800016827.
Texto completoTesis sobre el tema "Markov approximation"
Szczegot, Kamil. "Sharp approximation for density dependent Markov chains /". May be available electronically:, 2009. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Texto completoPötzelberger, Klaus. "On the Approximation of finite Markov-exchangeable processes by mixtures of Markov Processes". Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/526/1/document.pdf.
Texto completoSeries: Forschungsberichte / Institut für Statistik
Perrine, Serge. "Approximation diophantienne (théorie de Markoff)". Metz, 1988. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/1988/Perrine.Serge_1.SMZ8826.pdf.
Texto completoTowards 1880, A. Markoff gave precisions about structure of the set of approximation constants greater than 1/3 for irrational numbers. This theory establishes links between constants, arithmetical minima for quadratic forms, and the solutions of the diophantine equation x2 + y2 +z2 = 3xyz. The present dissertation generalizes the original formalism built by Markoff. It introduces the notion of (a, r,E)-theory of Markoff, among which the (2,0,-1) theory is the original Markoff theory. The corresponding diophantine equation is given with an interpretation for the whole calculus. From that is derives the resolution of the diophantine equation x2 + y2 +z2 = (a +1)xyz and some arborescent constructions. For the systematic research of holes in the Markoff's spectra, the author gives confirmation for the results of Schecker and Freiman, concerning the Hall's ray. He gives examples and gives confirmation for some results of Kinney and Pitcher
Patrascu, Relu-Eugen. "Linear Approximations For Factored Markov Decision Processes". Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1171.
Texto completoLei, Lei. "Markov Approximations: The Characterization of Undermodeling Errors". Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1371.pdf.
Texto completoKuntz, Nussio Juan. "Deterministic approximation schemes with computable errors for the distributions of Markov chains". Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/59103.
Texto completoTanaka, Takeyuki. "Studies on Application of a Markov Approximation Methods to Structural Reliability Analyses". Kyoto University, 1995. http://hdl.handle.net/2433/160776.
Texto completoKyoto University (京都大学)
0048
新制・論文博士
博士(工学)
乙第8872号
論工博第2981号
新制||工||997(附属図書館)
UT51-95-D465
(主査)教授 宗像 豊哲, 教授 茨木 俊秀, 教授 岩井 敏洋
学位規則第4条第2項該当
Vergne, Nicolas. "Chaînes de Markov régulées et approximation de Poisson pour l'analyse de séquences biologiques". Phd thesis, Université d'Evry-Val d'Essonne, 2008. http://tel.archives-ouvertes.fr/tel-00322434.
Texto completoΠt/n = (1-t/n) Π0 + t/n Π1.
Cette modélisation correspond à une évolution douce entre deux états. Par exemple cela peut traduire la transition entre deux régimes d'un chaîne de Markov cachée, qui pourrait parfois sembler trop brutale. Ces modèles peuvent donc être vus comme une alternative mais aussi comme un outil complémentaire aux modèles de Markov cachés. Tout au long de ce travail, nous avons considéré des dérives polynomiales de tout degré ainsi que des dérives par splines polynomiales : le but de ces modèles étant de les rendre plus flexibles que ceux des polynômes. Nous avons estimé nos modèles de multiples manières puis évalué la qualité de ces estimateurs avant de les utiliser en vue d'applications telle la recherche de mots exceptionnels. Nous avons mis en oeuvre le software DRIMM (bientôt disponible à http://stat.genopole.cnrs.fr/sg/software/drimm/, dédié à l'estimation de nos modèles. Ce programme regroupe toutes les possibilités offertes par nos modèles, tels le calcul des matrices en chaque position, le calcul des lois stationnaires, des distributions de probabilité en chaque position... L'utilisation de ce programme pour la recherche des mots exceptionnels est proposée dans des programmes auxiliaires (disponibles sur demande).
Plusieurs perspectives à ce travail sont envisageables. Nous avons jusqu'alors décidé de faire varier la matrice seulement en fonction de la position, mais nous pourrions prendre en compte des covariables tels le degré d'hydrophobicité, le pourcentage en gc, un indicateur de la structure des protéines (hélice α, feuillets β...). Nous pourrions aussi envisager de mêler HMM et variation continue, où sur chaque région, au lieu d'ajuster un modèle de Markov, nous ajusterions un modèle de chaînes de Markov régulées.
GENDRE, LAURENT. "INEGALITES DE MARKOV SINGULIERES ET APPROXIMATION DES FONCTIONS HOLOMORPHES DE LA CLASSE M". Phd thesis, Université Paul Sabatier - Toulouse III, 2005. http://tel.archives-ouvertes.fr/tel-00010810.
Texto completoGendre, Laurent. "Inégalités de Markov singulières et approximation des fonctions holomorphes de la classe M". Toulouse 3, 2005. http://www.theses.fr/2005TOU30033.
Texto completoIn the first part, we prove that all the singular algebraic curves of Rn admit Markov tangential inequalities. We give a geometric signification of the Markov exponent. We prove that this exponent is less or equal to the multiplicity of the singularity of the complexify curve in Cn. We construct a Puiseux parameterisation on the real singularity and we extended it to a nowhere dense open subset of C. Therefore, we obtain the property HCP of the Green function with pole at infinity by geodesic metric in the complexify curve. In the second part, we prove a Bernstein type theorem for the functions of intermediate classes between holomorphic functions and C¥ functions on subclasses of s-H convex compact subsets of Cn. To prove this result, we give representative kernel on s-H convex compact for functions of A¥(K). We approach this kernel by an other kernel type Henkin-Ramirez. We propose a new geometric property of Green function with pole at infinity and we give some examples
Libros sobre el tema "Markov approximation"
Markov operators, positive semigroups, and approximation processes. Berlin: Walter de Gruyter GmbH & Co., KG, 2015.
Buscar texto completoBayer, Valentina. Approximation algorithms for solving cost observable Markov decision processes. Corvallis, OR: Oregon State University, Dept. of Computer Science, 1999.
Buscar texto completoKomorowski, Tomasz. Fluctuations in Markov Processes: Time Symmetry and Martingale Approximation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Buscar texto completoAmerican-type options: Stochastic approximation methods. Berlin: Walter de Gruyter GmbH & Co. KG, 2014.
Buscar texto completoZheng, Shuheng. Stochastic Approximation Algorithms in the Estimation of Quasi-Stationary Distribution of Finite and General State Space Markov Chains. [New York, N.Y.?]: [publisher not identified], 2014.
Buscar texto completoAldous, D. J. Probability approximations via the Poisson clumping heuristic. New York: Springer-Verlag, 1989.
Buscar texto completoChang-Jin, Kim. In search of a model that an ARCH-type model may be approximating: The Markov model of heteroskedasticity. [Toronto, Ont: York University, Dept. of Economics, 1990.
Buscar texto completoKoli︠a︡da, S. F. Dynamics and numbers: A special program, June 1-July 31, 2014, Max Planck Institute for Mathematics, Bonn, Germany : international conference, July 21-25, 2014, Max Planck Institute for Mathematics, Bonn, Germany. Editado por Max-Planck-Institut für Mathematik. Providence, Rhode Island: American Mathematical Society, 2016.
Buscar texto completoAltomare, Francesco, Mirella Cappelletti, Ioan Rasa y Vita Leonessa. Markov Operators, Positive Semigroups and Approximation Processes. de Gruyter GmbH, Walter, 2015.
Buscar texto completoAltomare, Francesco, Mirella Cappelletti, Ioan Rasa y Vita Leonessa. Markov Operators, Positive Semigroups and Approximation Processes. de Gruyter GmbH, Walter, 2014.
Buscar texto completoCapítulos de libros sobre el tema "Markov approximation"
Wang, Xikui. "Monotonic Approximation of the Gittins Index". En Markov Processes and Controlled Markov Chains, 363–67. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0265-0_22.
Texto completoKalashnikov, V. V. "Approximation of some stochastic models". En Semi-Markov Models, 319–35. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0574-1_17.
Texto completoAltman, Eitan. "State truncation and approximation". En Constrained Markov Decision Processes, 205–16. Boca Raton: Routledge, 2021. http://dx.doi.org/10.1201/9781315140223-19.
Texto completoTodorović, Branimir T., Svetozar R. Rančić y Edin H. Mulalić. "Context Hidden Markov Model for Named Entity Recognition". En Approximation and Computation, 447–60. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6594-3_30.
Texto completoKorolyuk, V. y A. Swishchuk. "Double Approximation of Random Evolutions". En Semi-Markov Random Evolutions, 277–88. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-1010-5_12.
Texto completoElton, John H. y Zheng Yan. "Approximation of Measures by Markov Processes and Homogeneous Affine Iterated Function Systems". En Constructive Approximation, 69–87. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-6886-9_4.
Texto completoKushner, Harold J. y Paul Dupuis. "The Markov Chain Approximation Method: Introduction". En Numerical Methods for Stochastic Control Problems in Continuous Time, 67–88. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0007-6_5.
Texto completoKushner, Harold J. y Paul G. Dupuis. "The Markov Chain Approximation Method: Introduction". En Numerical Methods for Stochastic Control Problems in Continuous Time, 67–88. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-0441-8_5.
Texto completoBetliński, Paweł. "Markov Blanket Approximation Based on Clustering". En Lecture Notes in Computer Science, 192–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21916-0_22.
Texto completoBudhiraja, Amarjit y Paul Dupuis. "Recursive Markov Systems with Small Noise". En Analysis and Approximation of Rare Events, 79–117. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-9579-0_4.
Texto completoActas de conferencias sobre el tema "Markov approximation"
Chen, Minghua, Soung Chang Liew, Ziyu Shao y Caihong Kai. "Markov Approximation for Combinatorial Network Optimization". En IEEE INFOCOM 2010 - IEEE Conference on Computer Communications. IEEE, 2010. http://dx.doi.org/10.1109/infcom.2010.5461998.
Texto completoChen, Siwei, Xiaoying Gan, Xinxin Feng, Xiaohua Tian, Weijie Wu y Jing Liu. "Markov approximation for Multi-RAT selection". En 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7248791.
Texto completoBouchard-Cote, A., N. Ferns, P. Panangaden y D. Precup. "An approximation algorithm for labelled Markov processes: towards realistic approximation". En Second International Conference on the Quantitative Evaluation of Systems (QEST'05). IEEE, 2005. http://dx.doi.org/10.1109/qest.2005.4.
Texto completoHirata, Kouji y Miki Yamamoto. "Data center traffic engineering using Markov approximation". En 2017 International Conference on Information Networking (ICOIN). IEEE, 2017. http://dx.doi.org/10.1109/icoin.2017.7899499.
Texto completoDehnie, Sintayehu. "Markov Chain Approximation of Rayeleigh Fading Channel". En 2007 IEEE International Conference on Signal Processing and Communications. IEEE, 2007. http://dx.doi.org/10.1109/icspc.2007.4728568.
Texto completoBlanchet, Jose, Guillermo Gallego y Vineet Goyal. "A markov chain approximation to choice modeling". En EC '13: ACM Conference on Electronic Commerce. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2482540.2482560.
Texto completoLouis, Anand. "Hypergraph Markov Operators, Eigenvalues and Approximation Algorithms". En STOC '15: Symposium on Theory of Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2746539.2746555.
Texto completoShao, Ziyu, Hao Zhang, Minghua Chen y Kannan Ramchandran. "Reverse-engineering BitTorrent: A Markov approximation perspective". En IEEE INFOCOM 2012 - IEEE Conference on Computer Communications. IEEE, 2012. http://dx.doi.org/10.1109/infcom.2012.6195746.
Texto completoBlanchet, Jose, Guillermo Gallego y Vineet Goyal. "A markov chain approximation to choice modeling". En the fourteenth ACM conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2492002.2482560.
Texto completoWu, Chi-hsin y Peter C. Doerschuk. "Markov random fields as a priori information for image restoration". En Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/srs.1995.rwc2.
Texto completoInformes sobre el tema "Markov approximation"
Bhatnagar, Shalabh, Michael C. Fu, Steven I. Marcus y Shashank Bhatnagar. Randomized Difference Two-Timescale Simultaneous Perturbation Stochastic Approximation Algorithms for Simulation Optimization of Hidden Markov Models. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2000. http://dx.doi.org/10.21236/ada637176.
Texto completoMa, D.-J., A. M. Makowski y A. Shwartz. Stochastic Approximations for Finite-State Markov Chains. Fort Belvoir, VA: Defense Technical Information Center, enero de 1987. http://dx.doi.org/10.21236/ada452264.
Texto completoMorris, M. y T. Jones. Marrow cell kinetics model: Equivalent prompt dose approximations for two special cases. Office of Scientific and Technical Information (OSTI), noviembre de 1992. http://dx.doi.org/10.2172/7175933.
Texto completoMorris, M. y T. Jones. Marrow cell kinetics model: Equivalent prompt dose approximations for two special cases. Office of Scientific and Technical Information (OSTI), noviembre de 1992. http://dx.doi.org/10.2172/10189151.
Texto completoRofman, Rafael, Joaquín Baliña y Emanuel López. Evaluating the Impact of COVID-19 on Pension Systems in Latin America and the Caribbean. The Case of Argentina. Inter-American Development Bank, octubre de 2022. http://dx.doi.org/10.18235/0004508.
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