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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