1. Differential Geometrical Theory of Statistics by Frederic Barbaresco, Frank Nielsen (eds)
2. Probability and Mathematical Statistics by Prasanna Sahoo
3. Advanced High School Statistics by David M Diez, et al.
4. Probability by Douglas Kennedy
5. Probability on Trees and Networks by Russell Lyons, Yuval Peres
6. Quick Notes - Statistics by Walter Antoniotti
7. Extracting Information from Random Data by Pawel J. Szablowski
8. Probability Course by Gian-Carlo Rota
9. A First Course In Mathematical Statistics by C.E. Weatherburn
10. Stochastic Differential Equations: Models and Numerics by Anders Szepessy, et al.
11. Lectures on Singular Stochastic PDEs by M. Gubinelli, N. Perkowski
12. Statistical Inference for Everyone by Brian S Blais
13. Causal Inference by Miguel A. Hernan, James M. Robins
14. Statistics Review: Including a probability theory background by
15. Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik
16. Introduction to Stochastic Processes by Gordan Žitković
17. Dynamic Programming and Bayesian Inference: Concepts and Applications by Mohammad Saber Fallah Nezhad (ed.)
18. Probability Theory by Curtis T. McMullen
19. Statistics Done Wrong by Alex Reinhart
20. A Handbook of Statistics by Darius Singpurwalla
21. Statistics by
22. Lectures on Elementary Probability by William G. Faris
23. Mathematical Statistics by Henry Lewis Rietz
24. Applied Stochastic Processes in Science and Engineering by Matt Scott
25. Applied Statistics by Mohammed A. Shayib
26. Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi
27. Lectures on Integrable Probability by Alexei Borodin, Vadim Gorin
28. Lecture Notes on Free Probability by Vladislav Kargin
29. Advanced Stochastic Processes by Jan A. Van Casteren
30. Foundations of Descriptive and Inferential Statistics by Henk van Elst
31. Introduction to Probability and Statistics Using R by G. Jay Kerns
32. Learning Statistics with R by Daniel Navarro
33. Revealing Statistical Principles by J.K. Lindsey
34. Statistics 1 by Keijo Ruohonen
35. Everything you wanted to know about Data Analysis and Fitting by Peter Young
36. OpenIntro Statistics by D.M. Diez, C.D. Barr, M. Cetinkaya-Rundel
37. Experimental Design and Analysis by Howard J. Seltman
38. Probability and Statistics Cookbook by Matthias Vallentin
39. Think Bayes: Bayesian Statistics Made Simple by Allen B. Downey
40. Basic Data Analysis and More: A Guided Tour Using Python by O. Melchert
41. Lectures on Stochastic Flows and Applications by H. Kunita
42. Lectures on Stochastic Differential Equations and Malliavin Calculus by S. Watanabe
43. Stochastic Processes by Leif Mejlbro
44. Lectures on Topics in Stochastic Differential Equations by Daniel W. Stroock
45. Introduction to Probability by Davar Khoshnevisan, Firas Rassoul-Agha
46. Introduction to Probability by Leif Mejlbro
47. Probability and Statistics by
48. Principles of Uncertainty by Joseph B. Kadane
49. Introduction to Statistical Thinking by Benjamin Yakir
50. Theory of Statistics by James E. Gentle

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