Bayesan atatistics: main concepts and simulations
Fusaro, Adriana (A.A. 2016/2017) Bayesan atatistics: main concepts and simulations. Tesi di Laurea in Statistics, LUISS Guido Carli, relatore Joseph Rinott, pp. 28. [Bachelor's Degree Thesis]
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Abstract/Index
Main types of statistical inferences. Frequentist and Bayesian approach through a flip coin example. Bayesian inference for normal mean. Bayesian inference on a normal variable with unknown mean: an example. Sequential Bayesian updating. Markovian model.
References
Bibliografia: p. 28.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | LUISS Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33) |
| Chair: | Statistics |
| Thesis Supervisor: | Rinott, Joseph |
| Academic Year: | 2016/2017 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Nov 2017 10:44 |
| Last Modified: | 13 Nov 2017 10:44 |
| URI: | https://tesi.luiss.it/id/eprint/19744 |
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