The essential equivalence of pairwise and mutual conditional independence
β Scribed by Peter J. Hammond; Yeneng Sun
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 202 KB
- Volume
- 135
- Category
- Article
- ISSN
- 1432-2064
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The mutual information is a measure of stochastic dependence. Here, we present a data-dependent nonparametric estimator of the mutual information. The algorithm, upon which this estimator rests, is based on Dobrushin's information theorem. The key idea is to build a succession of ΓΏner and ΓΏner parti
The concept of conditional independence is considered in the study of the relationship between su ciency and invariance under a Bayesian point of view showing, among other results, that the conditional independence of the almost-invariant -ΓΏeld and a su cient -ΓΏeld given its intersection is equivale