| Views | Cover | Author | Title | Published | Format | Updated | Thank_to |
2018184 | 868 | | Rene L. Schilling | Brownian Motion: A Guide to Random Processes and Stochastic Calculus (De Gruyter Textbook) Ed 3 | 2021 | pdf | 11/11/2024 4:29:44 AM | gestalt |
2135897 | 122 | | Norbert Henze | Asymptotic Stochastics: An Introduction with a View towards Statistics (Mathematics Study Resources, 10) | 2024 | pdf | 10/29/2024 7:33:17 PM | alex21s |
2135896 | 84 | | Subhash C. Kochar | Stochastic Comparisons with Applications: In Order Statistics and Spacings | 2024 | epub | 10/29/2024 7:32:33 PM | alex21s |
1928625 | 993 | | Wilfrid S. Kendall | New Perspectives in Stochastic Geometry | 2021 | pdf | 10/29/2024 1:58:57 AM | maveriks |
2135019 | 68 | | Dayne Sorvisto | MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems, First Edition | 2023 | pdf | 10/18/2024 5:48:25 AM | eternal |
2135000 | 116 | | Guy Fayolle | Random Walks in the Quarter Plane: Algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics (Probability Theory and Stochastic Modelling, 40) Ed 2 | 2024 | rar | 10/17/2024 2:45:22 PM | stirkout |
1977450 | 674 | | Steven R. Dunbar | Mathematical Modeling in Economics and Finance: Probability, Stochastic Processes, and Differential Equations (AMS/MAA Textbooks) | 2021 | pdf | 10/12/2024 4:12:15 AM | maveriks |
2134344 | 121 | | Nicolas Privault | Discrete Stochastic Processes: Tools for Machine Learning and Data Science (Springer Undergraduate Mathematics Series) | 2024 | pdf | 10/10/2024 9:39:41 PM | alex21s |
2133649 | 96 | | Ciprian Tudor | Non-Gaussian Selfsimilar Stochastic Processes (SpringerBriefs in Probability and Mathematical Statistics) 1st ed. | 2023 | pdf | 10/4/2024 4:25:43 AM | eternal |
2132952 | 104 | | Michal Kisielewicz | Set-Valued Stochastic Integrals and Applications (Springer Optimization and Its Applications, 157) ,1st ed. | 2020 | pdf | 9/24/2024 5:00:00 AM | eternal |
|