Probability and its Applications - Foundations of Modern Probability
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Markov Processes and Discrete-Time Chains

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_7 ◽

2006 ◽

pp. 117-135

Keyword(s):

Markov Processes ◽

Discrete Time

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Semimartingales and General Stochastic Integration

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_23 ◽

2006 ◽

pp. 433-454

Keyword(s):

Stochastic Integration ◽

General Stochastic

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Independent Increments and Infinite Divisibility

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_13 ◽

2006 ◽

pp. 234-254

Keyword(s):

Infinite Divisibility ◽

Independent Increments

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Elements of Measure Theory

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_1 ◽

2006 ◽

pp. 1-21

Keyword(s):

Measure Theory

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Characteristic Functions and Classical Limit Theorems

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_4 ◽

2006 ◽

pp. 60-79

Keyword(s):

Classical Limit ◽

Limit Theorems ◽

Characteristic Functions

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One-Dimensional SDEs and Diffusions

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_20 ◽

2006 ◽

pp. 371-389

Keyword(s):

One Dimensional

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Convergence of Random Processes, Measures, and Sets

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_14 ◽

2006 ◽

pp. 255-274

Keyword(s):

Random Processes

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Stochastic Differential Equations and Martingale Problems

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_18 ◽

2006 ◽

pp. 335-349

Keyword(s):

Differential Equations ◽

Stochastic Differential Equations ◽

Martingale Problems

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Random Sequences, Series, and Averages

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_3 ◽

2006 ◽

pp. 39-59

Keyword(s):

Random Sequences

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PDE-Connections and Potential Theory

Probability and its Applications - Foundations of Modern Probability ◽

10.1007/0-387-22704-0_21 ◽

2006 ◽

pp. 390-408

Keyword(s):

Potential Theory

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Probability and its Applications - Foundations of Modern ProbabilityLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer-Verlag

Markov Processes and Discrete-Time Chains

Semimartingales and General Stochastic Integration

Independent Increments and Infinite Divisibility

Elements of Measure Theory

Characteristic Functions and Classical Limit Theorems

One-Dimensional SDEs and Diffusions

Convergence of Random Processes, Measures, and Sets

Stochastic Differential Equations and Martingale Problems

Random Sequences, Series, and Averages

PDE-Connections and Potential Theory

Probability and its Applications - Foundations of Modern Probability
Latest Publications