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• (2012-02-06)
A Bayesian belief network (BBN) methodology is proposed for combining evidence to better characterize contamination events and reduce false positive sensor detections in drinking water distribution systems. A BBN is ...

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• (2012-02-01)
Bayesian inference provides a flexible way of combiningg data with prior information. However, quantile regression is not equipped with a parametric likelihood, and therefore, Bayesian inference for quantile regression ...

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• (1995)
Thurstonian ranking models represent the psychological ranking process by latent random variables that follow a multivariate normal distribution. To evaluate the ranking probabilities and estimate the parameters of the ...

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• (2002)
This thesis presents a progression from theory development to real-data application. Chapter 1 gives a literature review of other psychometric models for formative assessment, or cognitive diagnosis models, as an introduction ...

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• (2001)
Finally, kernel canonical correlation analysis (CCA) is developed to model nonlinear or high-order correlations between signals from two sources. Kernel CCA uses kernel principal component analysis (PCA), which elegantly ...

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• (1993)
We consider the problem of regressing a dichotomous response variable on a predictor variable. Our interest is in modelling the probability of occurrence of the response as a function of the predictor variable, and in ...

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• (1976)

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• (1975)

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• (2011-05-25)
The latent class model (LCM) is a statistical method that introduces a set of latent categorical variables. The main advantage of LCM is that conditional on latent variables, the manifest variables are mutually independent ...

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• ([Urbana, Ill.] : College of Commerce and Business Administration, University of Illinois at Urbana-Champaign,, June 1988)

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• (2014-01-16)
Accurately measuring individual differences underpins psychological research, educational and clinical decision-making, personnel selection, and managerial practices. Previous research has concluded that ideal point item ...

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• (2002)
The dissertation proposes the Bayesian optimization algorithm (BOA), which uses Bayesian networks to model the promising solutions found so far and sample new candidate solutions. BOA is theoretically and empirically shown ...

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• (2011-01-14)
Bayesian predictive methods have a number of advantages over traditional statistical methods. For one, Bayesian methods allow one to aggregate information from multiple sources (theoretical models, experimental data, and ...

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• (2011-05-25)
Quantile regression, as a supplement to the mean regression, is often used when a comprehensive relationship between the response variable and the explanatory variables is desired. The traditional frequentists’ approach ...

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• (1998)
In this thesis, the effects of two inhibitors, funiculosin and zinc, on the $bc\sb1$ complex of Rhodobacter sphaeroides, and the role of isocyt $c\sb2$ in the photosynthetic chain were studied. Also the organization of the ...

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• (2003)
Next, the problem of covering an incompletely-specified negative function by a completely-specified negative function efficiently is investigated. This problem arises during the synthesis of MOS networks. A necessary step ...

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• (Urbana, Ill. : University of Illinois at Urbana-Champaign, College of Agriculture, Cooperative Extension Service,, 1986)

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• (2011-03-31)
Librarians have worked hard to move their services into digital spaces such as Facebook and Flickr that are popular with students. But what about the faculty? How are professors integrating popular emerging technologies ...

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Microsoft PowerPoint 2007 (138kB)
• (2005-04)
The emergence of tiny computers, such as smart dust, Berkeley motes and Intel motes, makes it feasible to envision the conversion of a network of tiny computers into a regular computing device (i.e., a "PC" or personal ...

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• (1964)

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