Results 251 to 260 of about 2,324,497 (297)

Statistics for Model Calibration

2015
Mathematical models of dynamic processes contain parameters which have to be estimated based on time-resolved experimental data. This task is often approached by optimization of a suitably chosen objective function. Maximization of the likelihood, i.e.
Kreutz, Clemens, Raue, Andreas, Timmer, Jens   +2 more
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Statistical Model for Japanese Abbreviations

Intelligent Data Analysis, 2008
We present a new approach to detect abbreviations given a root expression. The method is based on a statistical model combining two internal models: a generation and a verification model. The statistical model accounts for both the validity of abbreviations as a character sequence generated from a root (as learnt from the collection of abbreviation ...
Norifumi Murayama, Manabu Okumura
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Statistical Modeling of Colour Data

International Journal of Computer Vision, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel C. Alexander, Bernard F. Buxton
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Statistical Performance Modeling and Optimization

Foundations and Trends® in Electronic Design Automation, 2007
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing processes have introduced unavoidable and significant uncertainty in circuit performance; hence ensuring manufacturability has been identified as one of the top priorities of today’s
Xin Li 0001, Jiayong Le, Lawrence T. Pileggi   +2 more
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‘Statistics-for’ and ‘Statistics-with’ Agent Models

2021
Humankind often sees patterns where none exist (The name for this is pareidolia and it explains among other things why we see faces on the surface of the Moon and Mars, and can make out cars, cats and coffee cups among the clouds.). Statistical tests exist to overcome this and reveal true relationships among variables while quantifying their strength ...
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Statistical manifolds are statistical models

Journal of Geometry, 2006
In this note we prove that any smooth (C1 resp.) statistical manifold can be embedded into the space of probability measures on a finite set. As a result, we get positive answers to Lauritzen´s question and Amari´s question on a realization of smooth (C1 resp.) statistical manifolds as finite dimensional statistical models.
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Statistical Models

Technometrics, 2005
Lorrie L. Hoffman, Elayne Reiss
openaire   +1 more source

Statistical Modelling Techniques

Biometrics, 1982
Edward I. George, Samuel S. Shapiro, Alan J. Gross   +2 more
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Statistical Models in Epidemiology.

Journal of the American Statistical Association, 1995
M. K., David Clayton, Michael Hills
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Statistical Models of Conditioning.

1998
Conditioning experiments probe the ways that animals make pre-dictions about rewards and punishments and use those predic-tions to control their behavior. One standard model of condition-ing paradigms which involve many conditioned stimuli suggests that individual predictions should be added together.
Dayan, P., Long, T.
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