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  1. 11
    Gaussian Measures in Finite and Infinite Dimensions /

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  2. 12
    A course in large sample theory /

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  3. 13
    Probability Theory I /

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  4. 14
    Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 /
    Published 2020

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  5. 15
    Analytical and Stochastic Modelling Techniques and Applications : 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings /
    Published 2017

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  6. 16
    Denumerable Markov Chains : with a chapter of Markov Random Fields by David Griffeath /

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  7. 17
    Advanced probability theory for biomedical engineers /
    by Enderle, John D (John Denis)
    Published 2006

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  8. 18
    Measure-Valued Branching Markov Processes /
    by Li, Zenghu, Li, Zenghu
    Published 2022

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  9. 19
    The Mathematics of Errors /
    by Bouleau, Nicolas
    Published 2021

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  10. 20
    Mathematical Theory of Uniformity and its Applications in Ecology and Chaos /

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