著者
書誌事項
Probability theory and stochastic modelling
Springer
- タイトル別名
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PTSM
この図書・雑誌をさがす
注記
Formerly : Stochastic modelling and applied probability<BA70424457>
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1
- Geometry of level sets of random fields, Kac-Rice formulas, Hermite expansions and applications
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Diego Armentano [and others]
Springer , [2026] , c2026 Probability theory and stochastic modelling Volume 111
所蔵館1館
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2
- Backward stochastic Volterra integral equations
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Tianxiao Wang, Jiongmin Yong
Springer [2026] Probability theory and stochastic modelling volume 109
所蔵館2館
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3
- Dynamics on graphs
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Richard Durrett
Springer , [2026] , c2026 2nd edition Probability theory and stochastic modelling volume 110
: hardback
所蔵館7館
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4
- Hybrid switching diffusions : properties and applications
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Hai-Dang Nguyen, George Yin, Chao Zhu
Springer [2025] Second edition Probability theory and stochastic modelling volume 63
所蔵館8館
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5
- Lectures on Monte Carlo theory
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Paweł Lorek, Tomasz Rolski
Springer [2025] Probability theory and stochastic modelling volume 108
所蔵館11館
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6
- Convex stochastic optimization : dynamic programming and duality in discrete time
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Teemu Pennanen, Ari-Pekka Perkkiö
Springer [2024] Probability theory and stochastic modelling 107
所蔵館8館
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7
- Random walks and physical fields
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Yves Le Jan
Springer c2024 Probability theory and stochastic modelling v. 106
所蔵館11館
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8
- Marginal and functional quantization of stochastic processes
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Harald Luschgy, Gilles Pagès
Springer c2023 Probability theory and stochastic modelling v. 105
所蔵館10館
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9
- Concentration and Gaussian approximation for randomized sums
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Sergey Bobkov, Gennadiy Chistyakov, Friedrich Götze
Springer 2023 Probability theory and stochastic modelling 104
所蔵館14館
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10
- Measure-Valued Branching Markov Processes
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Zenghu Li
Springer c2022 2nd ed. Probability theory and stochastic modelling 103
: pbk
所蔵館1館
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11
- Measure-valued branching Markov processes
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Zenghu Li
Springer c2022 2nd ed Probability theory and stochastic modelling v. 103
所蔵館10館
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12
- The quasispecies equation and classical population models
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Raphaël Cerf, Joseba Dalmau
Springer c2022 Probability theory and stochastic modelling v. 102
所蔵館10館
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13
- Mathematical control theory for stochastic partial differential equations
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Qi Lü, Xu Zhang
Springer c2021 Probability theory and stochastic modelling v. 101
所蔵館11館
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14
- Markov renewal and piecewise deterministic processes
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Christiane Cocozza-Thivent
Springer c2021 Probability theory and stochastic modelling v. 100
所蔵館15館
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15
- Foundations of modern probability
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Olav Kallenberg
Springer c2021 3rd ed Probability theory and stochastic modelling v. 99
v. 2
所蔵館20館
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16
- Foundations of modern probability
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Olav Kallenberg
Springer c2021 3rd ed Probability theory and stochastic modelling v. 99
v. 1
所蔵館20館
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17
- Risk and insurance : a graduate text
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Søren Asmussen, Mogens Steffensen
Springer c2020 Probability theory and stochastic modelling v. 96
: pbk
所蔵館1館
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18
- Point process calculus in time and space : an introduction with applications
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Pierre Brémaud
Springer c2020 Probability theory and stochastic modelling v. 98
所蔵館13館
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19
- Continuous-time Markov decision processes : Borel space models and general control strategies
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Alexey Piunovskiy, Yi Zhang ; foreword by Albert Nikolaevich Shiryaev
Springer c2020 Probability theory and stochastic modelling v. 97
所蔵館12館
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20
- Risk and insurance : a graduate text
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Søren Asmussen, Mogens Steffensen
Springer c2020 Probability theory and stochastic modelling v. 96
所蔵館17館
