1 Bayesian essentials with R/Jean-Michel Marin, Christian P. Robert

2 Bayesian inference :with ecological applications/Link, William August

3 Bootstrap methods :a guide for practitioners and researchers/Chernick, Michael R

4 Bootstrap methods :a practitioner's guide/Chernick, Michael R

5 Bayesian networkswith examples in R/Marco Scutari, UCL Genetics Institute (UGI), Jean-Baptiste Denis, Unite de Recherche Mathematiques et Informatique Appliquees, INRA

6 Doing bayesian data analysisa tutorial with R and BUGS/Kruschke, John K

7 Bayesian missing data problems :EM, data augmentation and noniterative computation/Ming T. Tan, Guo-Liang Tian, Kai Wang Ng

8 Bayesian computation with R/Albert, Jim

9 Monte Carlo methods in Bayesian computation/Chen, Ming-Hui

10 Inference for heavy-tailed data analysis : applications in insurance and finance : Liang Peng, Yongcheng Qi/Peng, Liang

11 Statistical decision theory and Bayesian analysis/Berger, James O

12 Bayesian statistics :principles, models, and applications/Press, S. James

13 Bayesian thinking :modeling and computation/Dey, Dipak K

14 Essential Bayesian models :a derivative of Handbook of statistics: Bayesian thinking - modeling and computation .vol. 25/Dey, Dipak


13는 주제별 논문 35개 수록

14는 13 내용 중 일부 20개만 수록

불확실성, 랜덤, 확률 등 기초 개념은 12번 추천


추가

Bayesian data analysis, 1995

Rethinking the foundations of statistics 1999

Bayesian inference in dynamic econometric models, 1999

Bayesian statistical modelling, 2001

The subjectivity of scientists and the Bayesian approach, 2001


머신러닝 원서

1. Learning in man-computer interaction :a review of the literature

2. Machine learning: a probabilistic perspective c2012


범죄자 마인드, 수학의 사생활도 추천