Results 271 to 280 of about 12,131,923 (292)

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 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 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 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
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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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A Unifying Perspective on Statistical Modeling

SIAM Review, 1989
Summary: This paper presents a streamlined perspective on the various approaches to statistical modeling. This perspective can be thought of as a way to unify the Bayes, empirical-Bayes, Bayes-empirical-Bayes, parametric, nonparametric, and semiparametric models used to describe uncertainty.
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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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Statistical Models in Engineering

Technometrics, 1968
Eric R. Ziegel, G. Hahn, S. Shapiro
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