## Cortical and Hippocampal Correlates of Deliberation during Model-Based Decisions for Rewards in Humans

- Aaron M. Bornstein, Nathaniel D. Daw
- PLoS Computational Biology
- 2013

@article{Boone2005AssessmentOT, title={Assessment of two approximation methods for computing posterior model probabilities}, author={Edward L. Boone and Keying Ye and Eric P. Smith}, journal={Computational Statistics & Data Analysis}, year={2005}, volume={48}, pages={221-234} }

- Published 2005 in Computational Statistics & Data Analysis
DOI:10.1016/j.csda.2004.01.005

Model selection is an important problem in statistical applications. Bayesian model averaging provides an alternative to classical model selection procedures and allows researchers to consider several models from which to draw inferences. In the multiple linear regression case, it is di4cult to compute exact posterior model probabilities required for Bayesian model averaging. To reduce the computational burden the Laplace approximation and an approximation based on the Bayesian information… CONTINUE READING

1 Citations

19 References

Similar Papers