๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Tractable inference for probabilistic data models

โœ Scribed by Lehel Csato; Manfred Opper; Ole Winther


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
201 KB
Volume
8
Category
Article
ISSN
1076-2787

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


On modeling of if-then rules for probabi
โœ Hung T. Nguyen; I. R. Goodman ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 417 KB

We identify various situations in probabilistic intelligent systems in which conditionals (rules) as mathematical entities as well as their conditional logic operations are needed. In discussing Bayesian updating procedure and belief function construction, we provide a new method for modeling if. .

Semiparametric Bayesian inference for dy
โœ Tong Li; Xiaoyong Zheng ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 242 KB

## Abstract This paper develops semiparametric Bayesian methods for inference of dynamic Tobit panel data models. Our approach requires that the conditional mean dependence of the unobserved heterogeneity on the initial conditions and the strictly exogenous variables be specified. Important quantit