A theory based on Markovian principles and transition probability description is presented here to predict the statistics of the ordered peaks in a random process. It takes into account the statistical dependence that exists between the peaks in a single time history. The theory is more general than
A statistical approach to class separability
✍ Scribed by Djamel A. Zighed; Stéphane Lallich; Fabrice Muhlenbach
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 138 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.532
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We present a probabilistic approach to studying the descent statistic based upon a two-variable probability density. This density is log concave and, in fact, satisfies a higher order concavity condition. From these properties we derive quadratic inequalities for the descent statistic. Using Fourier
This paper presents a formal framework for deriving partial least squares algorithms from statistical hypothesis testing. This new formulation, significance regression (SR), leads to partial least squares for scalar output problems (PLS1), to a close approximation of a common multivariable partial l
An adaptive statistical language model is described, which successfully integrates long distance linguistic information with other knowledge sources. Most existing statistical language models exploit only the immediate history of a text. To extract information from further back in the document's his
A combined logical-statistical approach is suggested here for endocrine physiopathological inference. The prior knowledge of the endocrine system is formalized by a Boolean model. Boolean equations are solved to estimate prior probability distributions. A Bayesian strategy, taking into account the o