๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On stochastic management modeling with dependent variables

โœ Scribed by John F. Kottas; Hon-Shiang Lau


Publisher
Elsevier Science
Year
1979
Tongue
English
Weight
513 KB
Volume
3
Category
Article
ISSN
0377-2217

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Modeling Poisson variables with positive
โœ Mark S. Kaiser; Noel Cressie ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 572 KB

The Poisson auto-model is a natural vehicle for modeling data that consist of small counts and may exhibit dependence, frequently spatial dependence. Unfortunately, it is not possible to model positive dependence with a regular Poisson auto-model. We develop a model that allows positive dependencies

Language modeling using stochastic autom
โœ Jianying Hu; William Turin; Michael K. Brown ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 299 KB

It is well known that language models are effective for increasing the accuracy of speech and handwriting recognizers, but large language models are often required to achieve low model perplexity (or entropy) and still have adequate language coverage. We study three efficient methods for variable or

On structuring probabilistic dependences
โœ Hermann Ney; Ute Essen; Reinhard Kneser ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 975 KB

In this paper, we study the problem of stochastic language modelling from the viewpoint of introducing suitable structures into the conditional probability distributions. The task of these distributions is to predict the probability of a new word by looking at \(M\) or even all predecessor words. Th