1. Bayesian data analysis / Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin.
Third edition.
Boca Raton : CRC Press, 2013,2014.
QA279.5 B39 2013
2. Deterministic and stochastic topics in computational finance / Ovidiu Calin, Princeton University.
New Jersey : World Scientific, 2017.
HG106 C345 2017
3. Essentials of stochastic finance : facts, models, theory / Albert N. Shiryaev ; translated from the Russian by N. Kruzhilin.
Singapore ; River Edge, N.J. ; World Scientific, c1999.
HG4515.3 S54 1999
4. Learning from data : a short course / Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.
[S.l.] : AMLBook.com, c2012.
Q325.5 A28 2012
5. Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis.
1st ed.
London ; San Diego, CA : Academic Press, c2015.
Q325.5 T43 2015
6. Machine learning with R cookbook : explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code / Chiu Yu-Wei(David Chiu).
Birmingham, UK : Packt Publishing, 2015.
QA276.45.R3 C449 2015
7. Mastering data analysis with R : gain clear insights into your data and solve real-world data science problems with R–from data munging to modeling and visualization / Gergely Daroczi.
Birmingham, UK : Packt Publishing, 2015.
QA76.9.D343 D251 2015
8. Mastering machine learning with R: master machine learning techniques with R to deliver complex and robust projects / Cory Lesmeister.
Birmingham : Packt Publishing, 2015.
QA76.9.D343 L565 2015
9. Mastering parallel programming with R : master the robust features of R parallel programming to accelerate your data science computations / Simon R. Chapple, Eilidh Troup, Thorsten Forster, Terence Sloan.
Birmingham, UK : Packt Publishing Limited, 2016.
QA76.64 M393 2016
10. Mastering predictive analytics with R : master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts / Rui Miguel Forte.
Birmingham, UK : Packt Publishing, 2015.
QA276.45.R3 F776 2015
11. Mastering RStudio : develop, communicate, and collaborate with R : harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations / Julian Hillebrand, Maximilian H. Nierhoff.
Birmingham, UK : Packt Publishing, 2015.
QA276.45.R3 H556 2015
12. Mastering scientific computing with R : employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment / Paul Gerrard, Radia M. Johnson.
environment / Paul Gerrard, Radia M. Johnson.
QA76.76.C672 G32 2015
13. Mastering social media mining with R : extract valuable data from social media sites and make better business decisions using R / Sharan Kumar Ravindran, Vikram Garg.
Birmingham, UK : Packt Publishing, 2015.
QA76.9.D343 R197 2015.
14. Modeling and simulation / Pratiksha Saxena.
2nd ed.
Oxford, U.K. : Alpha Science International Ltd., 2014.
T57.62 S39 2014
15. Modern approaches of data mining : theory and practice / M. Panda, S. Dehuri, M.R. Patra.
Oxford : Alpha Science International Ltd., c2016.
QA76.9.D343 P384 2016
16. Nonparametric statistics for health care research : statistics for small samples and unusual distributions / Marjorie A. Pett.
2nd ed.
Thousand Oaks, Calif. : Sage Publications, 2016.
R853.S7 P48 2016
17. Pattern recognition and machine learning / Christopher M. Bishop.
New York : Springer, c2006.
Q327 B52 2006
18. Probabilistic graphical models : principles and techniques / Daphne Koller, Nir Friedman.
Cambridge, MA : MIT Press, c2009.
QA279.5 K65 2009.
19. Probability and random processes / Venkatarama Krishnan.
2nd ed.
Hoboken, N.J. : Wiley-Interscience, 2016.
QA273 K74 2016
20. Probability theory and statisical inference / contributors, Xing Zhao and Xiao-Hua Zhou et al.
United Kingdom : Koros Press Limited, 2015.
QA273 P94 2015
21. Radiation risk estimation : based on measurement error models / by Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov.
Berlin ; Boston : Walter de Gruyter GmbH & Co., KG, [2017].
TK9211 R33 2017
22. Random data : analysis and measurement procedures / contributors, Shiyang Pang, Xiangyun Hu et al.
United Kingdom : Koros Press Limited. ; 24 cm.
TA340 R159 2015
23. Simulation for data science with R : harness actionable insights from your data
with computational statistics and simulations using R / Matthias Templ.
Birmingham, UK : Packt Publishing, 2016.
QA276.45.R3 T247 2016
24. Statistical and mathematical sciences and their applications / editor, Neeraj Tiwari.
New Delhi : Narosa Publishing House, 2016.
TD177 S797 2016
25. Statistical pattern recognition / Andrew R. Webb, Keith D. Copsey.
3rd ed.
Hoboken : Wiley, 2011.
QA327 W43 2011
26. Statistics and causality : methods for applied empirical research / edited by Wolfgang Wiedermann, Alexander von Eye.
Hoboken, New Jersey : John Wiley & Sons, Inc., 2016.
QA276.A2 S73 2016
27. Statistics for imaging, optics, and photonics / contributors, Samara A. Morris-bobzean, Ting Li et al.
United Kingdom : Koros Press Limited , 2015.
QC369 St29 2015
28. Statistics in toxicology using R / Ludwig A. Hothorn.
Boca Raton, FL : CRC Press, [2016].
RA199.4.S73 H68 2016
29. Statistics : the conceptual approach / contributors, Frank Emmert-Streib, John y. Wu et al.
United Kingdom : Koros Press Limited, 2015.
QA276.12 St29 2015
30. Statistics without mathematics / David J. Bartholomew.
London : SAGE Publications Ltd, [2016].
HA29 B37 2016
31. Stochastic control theory : dynamic programming principle / Makikio Nisio.
Tokyo : Springer, [2015].
QA402.37 N56 2015
32. Unsupervised learning with R : work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data / Erik Rodriguez Pacheco.
Birmingham : Packt Publishing, 2015.
QA276.45.R3 P115 2015
33. Using R with multivariate statistics / Randall E. Schumacker, University of Alabama.
Los Angeles : Sage, [2016].
QA278 S37 2016