Center |
Faculty of Mathematics |
Departament |
Statistics and Operational Research |
Lecturers in charge |
Sin datos cargados |
Met. Docent |
Met. Avaluació |
Final examination - - |
Bibliografia |
Bibliografía básica (1) Berger, J. O. (1985). Statistical Decision Theory and Bayesian Analysis (2nd. ed). Springer-Verlag. (2) Gelman, A., Carlin, J. B., Stern, H. and Rubin, D.B. (1995). Bayesian Data Analysis. Chapman and Hall. (3) Lee, P. M. (1989). Bayesian Statistics: An Introduction (2nd. ed). Arnold. Bibliografía complementaria (1) Carlin, B.P. y Louis, T.A. (1996). Bayes and Empirical Bayes Methods for data Analysis. Chapman and Hall. (2) O'Hagan, A. (1994). Kendall's Advance Theory of Statistics, Vol. 2B: BayesianInference. John Wiley and Sons Inc. |
Continguts |
Goals To provide students with a global overview of Bayesian paradigm. To describe its foundations and simple methodological tools; In particular, emphasize objective Bayesian methods. To provide students with the needed tools to solve not too complex inferential tasks from a Bayesian point of view. Theory programme Practical programme |
Objetius |
URL de Fitxa |