Academic literature on the topic 'Stochastic calculus via regularization'
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Journal articles on the topic "Stochastic calculus via regularization":
Platen, Eckhard, and Rolando Rebolledo. "Pricing via anticipative stochastic calculus." Advances in Applied Probability 26, no. 4 (December 1994): 1006–21. http://dx.doi.org/10.2307/1427902.
Platen, Eckhard, and Rolando Rebolledo. "Pricing via anticipative stochastic calculus." Advances in Applied Probability 26, no. 04 (December 1994): 1006–21. http://dx.doi.org/10.1017/s0001867800026732.
Atsuji, A. "Nevanlinna Theory via Stochastic Calculus." Journal of Functional Analysis 132, no. 2 (September 1995): 473–510. http://dx.doi.org/10.1006/jfan.1995.1112.
Cohen, Paula, Robin Hudson, K. Parthasarathy, and Sylvia Pulmannová. "Hall's transformation via quantum stochastic calculus." Banach Center Publications 43, no. 1 (1998): 147–55. http://dx.doi.org/10.4064/-43-1-147-155.
Cosso, Andrea, and 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, no. 04 (December 2016): 1650024. http://dx.doi.org/10.1142/s0219025716500247.
Barchielli, A., and A. S. Holevo. "Constructing quantum measurement processes via classical stochastic calculus." Stochastic Processes and their Applications 58, no. 2 (August 1995): 293–317. http://dx.doi.org/10.1016/0304-4149(95)00011-u.
OLIVERA, CHRISTIAN. "STOCHASTIC INTEGRATION WITH RESPECT TO THE CYLINDRICAL WIENER PROCESS VIA REGULARIZATION." Infinite Dimensional Analysis, Quantum Probability and Related Topics 16, no. 03 (September 2013): 1350024. http://dx.doi.org/10.1142/s0219025713500240.
Meyer-Brandis, Thilo, Bernt Øksendal, and Xun Yu Zhou. "A mean-field stochastic maximum principle via Malliavin calculus." Stochastics 84, no. 5-6 (February 10, 2012): 643–66. http://dx.doi.org/10.1080/17442508.2011.651619.
Pamen, O. Menoukeu, F. Proske, and H. Binti Salleh. "Stochastic Differential Games in Insider Markets via Malliavin Calculus." Journal of Optimization Theory and Applications 160, no. 1 (April 19, 2013): 302–43. http://dx.doi.org/10.1007/s10957-013-0310-z.
Flandoli, Franco, and Ciprian A. Tudor. "Brownian and fractional Brownian stochastic currents via Malliavin calculus." Journal of Functional Analysis 258, no. 1 (January 2010): 279–306. http://dx.doi.org/10.1016/j.jfa.2009.05.001.
Dissertations / Theses on the topic "Stochastic calculus via regularization":
Di, Girolami Cristina. "Infinite dimensional stochastic calculus via regularization with financial perspectives." Paris 13, 2010. http://www.theses.fr/2010PA132007.
This 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.
Teixeira, 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.
This 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.
Books on the topic "Stochastic calculus via regularization":
Russo, Francesco, and Pierre Vallois. Stochastic Calculus via Regularizations. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09446-0.
Vallois, Pierre, and Francesco Russo. Stochastic Calculus Via Regularizations. Springer International Publishing AG, 2022.
Guionnet, Alice. Free probability. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.003.0003.
Book chapters on the topic "Stochastic calculus via regularization":
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Russo, Francesco, and 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.
Conference papers on the topic "Stochastic calculus via regularization":
Zheng, Jun, Li Yu, and 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.
Lecca, P., C. Priami, C. Laudanna, and 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.
Guan, Yue, Qifan Zhang, and 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.
Priezzhev, Ivan, Dmitry Danko, and 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.