Auswahl der wissenschaftlichen Literatur zum Thema „Stochastic calculus via regularization“
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Zeitschriftenartikel zum Thema "Stochastic calculus via regularization"
Platen, Eckhard, und Rolando Rebolledo. „Pricing via anticipative stochastic calculus“. Advances in Applied Probability 26, Nr. 4 (Dezember 1994): 1006–21. http://dx.doi.org/10.2307/1427902.
Der volle Inhalt der QuellePlaten, Eckhard, und Rolando Rebolledo. „Pricing via anticipative stochastic calculus“. Advances in Applied Probability 26, Nr. 04 (Dezember 1994): 1006–21. http://dx.doi.org/10.1017/s0001867800026732.
Der volle Inhalt der QuelleAtsuji, A. „Nevanlinna Theory via Stochastic Calculus“. Journal of Functional Analysis 132, Nr. 2 (September 1995): 473–510. http://dx.doi.org/10.1006/jfan.1995.1112.
Der volle Inhalt der QuelleCohen, Paula, Robin Hudson, K. Parthasarathy und Sylvia Pulmannová. „Hall's transformation via quantum stochastic calculus“. Banach Center Publications 43, Nr. 1 (1998): 147–55. http://dx.doi.org/10.4064/-43-1-147-155.
Der volle Inhalt der QuelleCosso, Andrea, und Francesco Russo. „Functional Itô versus Banach space stochastic calculus and strict solutions of semilinear path-dependent equations“. Infinite Dimensional Analysis, Quantum Probability and Related Topics 19, Nr. 04 (Dezember 2016): 1650024. http://dx.doi.org/10.1142/s0219025716500247.
Der volle Inhalt der QuelleBarchielli, A., und A. S. Holevo. „Constructing quantum measurement processes via classical stochastic calculus“. Stochastic Processes and their Applications 58, Nr. 2 (August 1995): 293–317. http://dx.doi.org/10.1016/0304-4149(95)00011-u.
Der volle Inhalt der QuelleOLIVERA, CHRISTIAN. „STOCHASTIC INTEGRATION WITH RESPECT TO THE CYLINDRICAL WIENER PROCESS VIA REGULARIZATION“. Infinite Dimensional Analysis, Quantum Probability and Related Topics 16, Nr. 03 (September 2013): 1350024. http://dx.doi.org/10.1142/s0219025713500240.
Der volle Inhalt der QuelleMeyer-Brandis, Thilo, Bernt Øksendal und Xun Yu Zhou. „A mean-field stochastic maximum principle via Malliavin calculus“. Stochastics 84, Nr. 5-6 (10.02.2012): 643–66. http://dx.doi.org/10.1080/17442508.2011.651619.
Der volle Inhalt der QuellePamen, O. Menoukeu, F. Proske und H. Binti Salleh. „Stochastic Differential Games in Insider Markets via Malliavin Calculus“. Journal of Optimization Theory and Applications 160, Nr. 1 (19.04.2013): 302–43. http://dx.doi.org/10.1007/s10957-013-0310-z.
Der volle Inhalt der QuelleFlandoli, Franco, und Ciprian A. Tudor. „Brownian and fractional Brownian stochastic currents via Malliavin calculus“. Journal of Functional Analysis 258, Nr. 1 (Januar 2010): 279–306. http://dx.doi.org/10.1016/j.jfa.2009.05.001.
Der volle Inhalt der QuelleDissertationen zum Thema "Stochastic calculus via regularization"
Di, Girolami Cristina. „Infinite dimensional stochastic calculus via regularization with financial perspectives“. Paris 13, 2010. http://www.theses.fr/2010PA132007.
Der volle Inhalt der QuelleThis thesis develops some aspects of stochastic calculus via regularization to Banach valued processes. An original concept of -quadratic variation is introduced, where is a subspace of the dual of a tensor product B B where B is the values space of some process X process. Particular interest is devoted to the case when B is the space of real continuous functions defined on [-, 0], > 0. Itô formulae and stability of finite -quadratic variation processes are established. Attention is deserved to a finite real quadratic variation (for instance Dirichlet, weak Dirichlet) process X. The C [ -, 0] -valued process X(. ) defined by Xt(y)= Xt+y, where y∈[-, 0], is called window process. Let T > 0. If X is a finite quadratic variation process such that [X]t = t and h = H (XT(. )) où H : C([ -T, 0]) ℝ is L2([ -T, 0]-smooth or H non smooth but finitely based it is possible to represent h as a sum of a real H0 plus a forward integral of type ∫0T d – X où H0 et are explicitly given. This representation result will be strictly linked with a function u : [0,T] x C([ -T; 0]) ℝ which in general solves an infinite dimensional partial differential equation with the property H0 = u(0, X0(. )), t = D° u(t,Xt(. )):= Dut,Xt(. ))({0}). This decomposition generalizes important aspects of Clark-Ocone formula which is true when X is the standard Brownian motion W. The financial perspective of this work is related to hedging theory of path dependent options without semimartingales
DI, GIROLAMI CRISTINA. „Infinite dimensional stochastic calculus via regularization with financial motivations“. Doctoral thesis, Luiss Guido Carli, 2010. http://hdl.handle.net/11385/200841.
Der volle Inhalt der QuelleTeixeira, Nicácio De Messias Alan. „Stochastic Analysis of non-Markovian irregular phenomena“. Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAE006.
Der volle Inhalt der QuelleThis thesis focuses on some particular stochastic analysis aspects of non-Markovian irregular phenomena. It formulates existence and uniqueness for some martingale problems involving two types of irregulat drifts perturbed by path-dependant functionals: the first one is related to the case which is the derivative of continuous function and it models irregular path-dependent media; the second one concerns the case when the drift is of Bessel type in low dimension. Finally the thesis also focuses on rough paths techniques and its relation with the stochastic calculus via regularization
Ashu, Tom A. Ashu. „Non-Smooth SDEs and Hyperbolic Lattice SPDEs Expansions via the Quadratic Covariation Differentiation Theory and Applications“. Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1500334062680747.
Der volle Inhalt der QuelleBücher zum Thema "Stochastic calculus via regularization"
Russo, Francesco, und Pierre Vallois. Stochastic Calculus via Regularizations. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0.
Der volle Inhalt der QuelleVallois, Pierre, und Francesco Russo. Stochastic Calculus Via Regularizations. Springer International Publishing AG, 2022.
Den vollen Inhalt der Quelle findenGuionnet, Alice. Free probability. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.003.0003.
Der volle Inhalt der QuelleBuchteile zum Thema "Stochastic calculus via regularization"
Russo, Francesco, und Pierre Vallois. „Stochastic Integration via Regularization“. In Stochastic Calculus via Regularizations, 113–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_4.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Calculus via Regularization and Rough Paths“. In Stochastic Calculus via Regularizations, 597–615. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_17.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Elements of Wiener Analysis“. In Stochastic Calculus via Regularizations, 333–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_10.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Stochastic Calculus with n-Covariations“. In Stochastic Calculus via Regularizations, 557–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_16.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Stability of the Covariation and Itô’s Formula“. In Stochastic Calculus via Regularizations, 199–232. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_6.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Itô Integrals“. In Stochastic Calculus via Regularizations, 165–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_5.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Weak Dirichlet Processes“. In Stochastic Calculus via Regularizations, 531–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_15.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Itô SDEs with Non-Lipschitz Coefficients“. In Stochastic Calculus via Regularizations, 445–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_13.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Hermite Polynomials and Wiener Chaos Expansion“. In Stochastic Calculus via Regularizations, 309–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_9.
Der volle Inhalt der QuelleRusso, Francesco, und Pierre Vallois. „Change of Probability and Martingale Representation“. In Stochastic Calculus via Regularizations, 233–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0_7.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Stochastic calculus via regularization"
Zheng, Jun, Li Yu und Peng Yang. „Throughput analysis of cognitive radio networks via stochastic network calculus“. In 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2014. http://dx.doi.org/10.1109/wcsp.2014.6992170.
Der volle Inhalt der QuelleLecca, P., C. Priami, C. Laudanna und G. Constantin. „Predicting cell adhesion probability via the biochemical stochastic π-calculus“. In the 2004 ACM symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/967900.967944.
Der volle Inhalt der QuelleGuan, Yue, Qifan Zhang und Panagiotis Tsiotras. „Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/339.
Der volle Inhalt der QuellePriezzhev, Ivan, Dmitry Danko und Uwe Strecker. „New-Age Kolmogorov Full-Function Neural Network KNN Offers High-Fidelity Reservoir Predictions via Estimation of Core, Well Log, Map and Seismic Properties“. In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207575-ms.
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