Results 1 to 10 of about 11,697,554 (295)
On statistical models on super trees
We consider a particular example of interplay between statistical models related to CFT on one hand, and to the spectral properties of ODE, known as ODE/IS correspondence, on the other hand. We focus at the representation of wave functions of Schrödinger
A. S. Gorsky, S. K. Nechaev, A. F. Valov
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Statistical physics of pairwise probability models
Statistical models for describing the probability distribution over the states of biological systems are commonly used for dimensional reduction. Among these models, pairwise models are very attractive in part because they can be fit using a reasonable
Yasser Roudi +4 more
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Visualising statistical models using dynamic nomograms.
Translational Statistics proposes to promote the use of Statistics within research and improve the communication of statistical findings in an accurate and accessible manner to diverse audiences.
Amirhossein Jalali +3 more
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Statistical models with uncertain error parameters
In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
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Statistical Language Modelling [PDF]
Grammar-based natural language processing has reached a level where it can ‘understand’ language to a limited degree in restricted domains. For example, it is possible to parse textual material very accurately and assign semantic relations to parts of sentences.
Gotoh, Yoshihiko, Renals, Steve
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STATISTICAL MODELS OF REPRESENTING INTELLECTUAL CAPITAL
This article entitled Statistical Models of Representing Intellectual Capital approaches and analyses the concept of intellectual capital, as well as the main models which can support enterprisers/managers in evaluating and quantifying the advantages of ...
Andreea Feraru
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Significant results: statistical or clinical? [PDF]
The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits and shortcomings. Readers will know its shortcomings,
Sangil Park
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An object oriented statistical metadata model is presented, which can be used in building information systems providing metadata-guided, statistical data processing features. The semantics of the model are analyzed and a set of operators (transformations) is proposed that allows for the automatic manipulation of both data and metadata at the same time.
Haralambos Papageorgiou +4 more
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Predictive Statistical Models for User Modeling [PDF]
Summary: The limitations of traditional knowledge representation methods for modeling complex human behaviour led to the investigation of statistical models. Predictive statistical models enable the anticipation of certain aspects of human behaviour, such as goals, actions and preferences.
Ingrid Zukerman, David W. Albrecht
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How error distribution and sampling depth strata affect plankton abundance modelling
Zooplankton form the trophic link between marine primary production and higher consumers and play a central role in carbon export, making reliable estimates of their abundance essential for understanding marine ecosystem dynamics in a changing world ...
Yulia Egorova +4 more
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