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000843765 020__ $$a9783319776439$$q(electronic book)
000843765 020__ $$a3319776436$$q(electronic book)
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000843765 08204 $$a519.2$$223
000843765 1112_ $$aSymposium of Probability and Stochastic Processes$$n(12th :$$d2015 :$$cMerida, Mexico)
000843765 24510 $$aXII Symposium of Probability and Stochastic Processes :$$bMerida, Mexico, November 16--20, 2015 /$$cDaniel Hernández-Hernández, Juan Carlos Pardo, Victor Rivero, editors.
000843765 264_1 $$aCham, Switzerland :$$bBirkhäuser,$$c2018.
000843765 300__ $$a1 online resource.
000843765 336__ $$atext$$btxt$$2rdacontent
000843765 337__ $$acomputer$$bc$$2rdamedia
000843765 338__ $$aonline resource$$bcr$$2rdacarrier
000843765 4901_ $$aProgress in probability ;$$v73
000843765 5050_ $$aIntro; Introduction; Contents; Part I Courses; Scaling Limits of Markov-Branching Trees and Applications; 1 Introduction; 2 Discrete Trees, Examples and Motivations; 2.1 Discrete Trees; 2.2 First Examples; 2.3 The Markov-Branching Property; 3 The Example of Galton-Watson Trees and Topological Framework; 3.1 Real Trees and the Gromov-Hausdorff Topology; 3.2 Scaling Limits of Conditioned Galton-Watson Trees; 4 Scaling Limits of Markov-Branching Trees; 4.1 A Markov Chain in the Markov-Branching Sequence of Trees; 4.2 Scaling Limits of Non-increasing Markov Chains
000843765 5058_ $$a4.3 Self-Similar Fragmentation Trees4.3.1 Self-Similar Fragmentation Processes; 4.3.2 Self-Similar Fragmentation Trees; 4.4 Scaling Limits of Markov-Branching Trees; 5 Applications; 5.1 Galton-Watson Trees; 5.1.1 Galton-Watson Trees with n Vertices; 5.1.2 Galton-Watson Trees with Arbitrary Degree Constraints; 5.2 Pólya Trees; 5.3 Dynamical Models of Tree Growth; 5.3.1 Ford's Alpha Model; 5.3.2 k-Ary Growing Trees; 5.3.3 Marginals of Stable Trees; 5.4 Cut-Trees; 6 Further Perspectives; 6.1 Multi-Type Markov-Branching Trees and Applications; 6.2 Local Limits
000843765 5058_ $$a6.3 Related Random Geometric StructuresReferences; Optimality of Two-Parameter Strategies in Stochastic Control; 1 Introduction; 1.1 One-Parameter Strategies; 1.2 Two-Parameter Strategies; 1.2.1 Two-Sided Singular Control; 1.2.2 Impulse Control; 1.2.3 Zero-Sum Games Between Two Players; 1.3 Fluctuation Theory of Spectrally One-Sided Lévy Processes; 1.4 Solution Procedures; 1.4.1 Selection of the Two Parameters; 1.4.2 Verification of Optimality; 1.5 Comparison with Other Approaches; 1.6 Computation; 2 Spectrally Negative Lévy Processes and Scale Functions; 2.1 Path Variations and Regularity
000843765 5058_ $$a2.2 Scale Functions2.3 Smoothness of Scale Functions; 2.4 Fluctuation Identities for Spectrally Negative Lévy Processes; 2.4.1 Two-Sided Exit; 2.4.2 Resolvent Measures; 2.5 Fluctuation Identities for the Infimum and Reflected Processes; 2.5.1 Fluctuation Identities for the Infimum Process; 2.5.2 Fluctuation Identities for tb; 2.5.3 Fluctuation Identities for Yta; 2.6 Fluctuation Identities for Doubly Reflected Lévy Processes; 2.7 Other Properties of the Scale Function; 2.7.1 Asymptotics as x →∞; 2.7.2 Log-Concavity; 2.7.3 Martingale Properties; 2.8 Some Further Notations
000843765 5058_ $$a3 Two-Sided Singular Control3.1 The Double Reflection Strategy; 3.2 Smoothness of the Value Function; 3.3 Existence of (a*, b*); 3.3.1 The Case of Example 3.1; 3.3.2 The Case of Example 3.2; 3.3.3 The Case of Example 3.3; 3.4 Variational Inequalities and Verification; 4 Impulse Control; 4.1 The (s,S)-Strategy; 4.2 Smoothness of the Value Function; 4.2.1 The Case of Example 4.3; 4.2.2 Brief Remarks on the Cases of Examples 4.1 and 4.2; 4.3 Quasi-Variational Inequalities and Verification; 4.3.1 The Case of Example 4.3; 4.3.2 Brief Remarks on the Cases of Examples 4.1 and 4.2
000843765 506__ $$aAccess limited to authorized users.
000843765 520__ $$aThis volume contains the proceedings of the XII Symposium of Probability and Stochastic Processes which took place at Universidad Autonoma de Yucatan in Merida, Mexico, on November 16-20, 2015. This meeting was the twelfth meeting in a series of ongoing biannual meetings aimed at showcasing the research of Mexican probabilists as well as promote new collaborations between the participants.The book features articles drawn from different research areas in probability and stochastic processes, such as: risk theory, limit theorems, stochastic partial differential equations, random trees, stochastic differential games, stochastic control, and coalescence. Two of the main manuscripts survey recent developments on stochastic control and scaling limits of Markov-branching trees, written by Kazutoshi Yamasaki and Bénédicte Haas, respectively. The research-oriented manuscripts provide new advances in active research fields in Mexico.The wide selection of topics makes the book accessible to advanced graduate students and researchers in probability and stochastic processes.
000843765 588__ $$aOnline resource; title from PDF title page (viewed July 2, 2018).
000843765 650_0 $$aProbabilities$$vCongresses.
000843765 650_0 $$aStochastic processes$$vCongresses.
000843765 7001_ $$aHernández-Hernández, Daniel,$$eeditor.
000843765 7001_ $$aPardo, Juan Carlos,$$eeditor.
000843765 7001_ $$aRivero, Victor,$$eeditor.
000843765 830_0 $$aProgress in probability ;$$v73.
000843765 852__ $$bebk
000843765 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-77643-9$$zOnline Access$$91397441.1
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