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100
Assessment and Propagation of Model Uncertainty
, 1995
"... this paper I discuss a Bayesian approach to solving this problem that has long been available in principle but is only now becoming routinely feasible, by virtue of recent computational advances, and examine its implementation in examples that involve forecasting the price of oil and estimating the ..."
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Cited by 182 (0 self)
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this paper I discuss a Bayesian approach to solving this problem that has long been available in principle but is only now becoming routinely feasible, by virtue of recent computational advances, and examine its implementation in examples that involve forecasting the price of oil and estimating the chance of catastrophic failure of the U.S. Space Shuttle.
Interactive HighDimensional Data Visualization
 Journal of Computational and Graphical Statistics
, 1996
"... We propose a rudimentary taxonomy of interactive data visualization based on a triad of data analytic tasks: finding Gestalt, posing queries, and making comparisons. These tasks are supported by three classes of nteractive view manipulation: focusing, linking and arranging views. This discussion ext ..."
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Cited by 126 (18 self)
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We propose a rudimentary taxonomy of interactive data visualization based on a triad of data analytic tasks: finding Gestalt, posing queries, and making comparisons. These tasks are supported by three classes of nteractive view manipulation: focusing, linking and arranging views. This discussion extends earlier work on the principles of focusing and linking and sets them on a firmer base. Next, we give a highlevel introduction to a particular system for multivariate data visualization: XGobi. This introduction is not comprehensive but emphasizes XGobi tools that are examples of focusing, linking and arranging views, namely: highdimensional projections, linked scatterplot brusing, and matrices of conditional plots.
Designing optimal spatial filters for singletrial EEG classification in a movement task
, 1998
"... We devise spatial filters for multichannel EEG that lead to signals which discriminate optimally between two conditions. We demonstrate the effectiveness of this method by classifying singletrial EEGs, recorded during preparation for movements of left or right index finger or right foot. Best clas ..."
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Cited by 82 (12 self)
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We devise spatial filters for multichannel EEG that lead to signals which discriminate optimally between two conditions. We demonstrate the effectiveness of this method by classifying singletrial EEGs, recorded during preparation for movements of left or right index finger or right foot. Best classification rates for 3 subjects were 94%, 90% and 84%, respectively. The filters are estimated from a set of multichannel EEG data by the method of Common Spatial Patterns, and reflect the selective activation of cortical areas. By construction, we obtain an automatic weighting of electrodes according to their importance for the classification task. Computationally, this method is parallel by nature, and demands only the evaluation of scalar products. So it is well suited for online data processing. The recognition rates obtained with this relatively simple method are as good or higher than those obtained previously with other methods. The high recognition rates and the method's procedural ...
Predictive Model Selection
 Journal of the Royal Statistical Society, Ser. B
, 1995
"... this article we propose three criteria that can be used to address model selection. These emphasize observables rather than parameters and are based on a certain Bayesian predictive density. They have a unifying basis that is simple and interpretable,are free of asymptotic de#nitions,and allow the i ..."
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Cited by 81 (5 self)
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this article we propose three criteria that can be used to address model selection. These emphasize observables rather than parameters and are based on a certain Bayesian predictive density. They have a unifying basis that is simple and interpretable,are free of asymptotic de#nitions,and allow the incorporation of prior information. Moreover,two of these criteria are readily calibrated.
Xgobi: Interactive Dynamic Graphics In The X Window System With A Link To S
, 1991
"... Data analysts perform a wide variety of computational tasks in the course of an analysis, and they should be able to do them all on the same platform. XGobi helps to make this possible by bringing stateoftheart dynamic graphic methods for the display and manipulation of scatter plots to the UNIX ..."
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Cited by 76 (32 self)
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Data analysts perform a wide variety of computational tasks in the course of an analysis, and they should be able to do them all on the same platform. XGobi helps to make this possible by bringing stateoftheart dynamic graphic methods for the display and manipulation of scatter plots to the UNIX R fl workstation, and by linking these methods to the S data analysis environment. XGobi is implemented in the X Window System TM , which offers portability across a wide variety of workstations, X terminals, and personal computers, as well as the ability to run smoothly across a network. A user can run XGobi and S simultaneously, making it possible to use each program's functions on the same data. Using a highly interactive directmanipulation design, XGobi offers an array of familiar scatterplot tools. Users can view pairwise plots, threedimensional rotations and grand tour sequences. Views of the data can be reshaped, and points can be identified or brushed. Projection coefficients a...
Beyond Fractionalization: Mapping Ethnicity onto Nationalist Insurgencies. American Political Science Review 101:173–85
, 2007
"... This paper theorizes the link between ethnicity and conflict. Conventional research relies on the ethnolinguistic fractionalization index (ELF) to explore a possible causal connection between these two phenomena. However, such approaches implicitly postulate unrealistic, individualist interaction t ..."
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Cited by 49 (8 self)
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This paper theorizes the link between ethnicity and conflict. Conventional research relies on the ethnolinguistic fractionalization index (ELF) to explore a possible causal connection between these two phenomena. However, such approaches implicitly postulate unrealistic, individualist interaction topologies. Moreover, ELFbased studies fail to articulate explicit causal mechanisms of collective action. In order to overcome these difficulties, we introduce the new index N * of ethnonationalist exclusiveness that maps ethnic configurations onto political violence. This formalization is confirmed statistically in regression analysis based on data from
The Mode Tree: A Tool for Visualization of Nonparametric Density Features
 Journal of Computational and Graphical Statistics
, 1993
"... Recognition and extraction of features in a nonparametric density estimate is highly dependent on correct calibration. The datadriven choice of bandwidth h in kernel density estimation is a difficult one, compounded by the fact that the globally optimal h is not generally optimal for all values of ..."
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Cited by 38 (4 self)
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Recognition and extraction of features in a nonparametric density estimate is highly dependent on correct calibration. The datadriven choice of bandwidth h in kernel density estimation is a difficult one, compounded by the fact that the globally optimal h is not generally optimal for all values of x. In recognition of this fact, a new type of graphical tool, the mode tree, is proposed. The basic mode tree plot relates the locations of modes in density estimates with the bandwidths of those estimates. Additional information can be included on the plot indicating such factors as the size of modes, how modes split, and the locations of antimodes and bumps. The use of a mode tree in adaptive multimodality investigations is proposed, and an example is given to show the value in using a Normal kernel, as opposed to the biweight or other kernels, in such investigations. Examples of such investigations are provided for Ahrens' chondrite data and van Winkle's Hidalgo stamp data. Finally, the b...
Prosection views: Dimensional inference through sections and projections
 Journal of Computational and Graphical Statistics
, 1994
"... We present some basic properties of two general graphical techniques for constructing views of highdimensional objects, projection and section. Projections can easily display aspects of structure that are only of low dimension, while sections, i.e., intersections of subspaces with a highdimensional ..."
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Cited by 36 (5 self)
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We present some basic properties of two general graphical techniques for constructing views of highdimensional objects, projection and section. Projections can easily display aspects of structure that are only of low dimension, while sections, i.e., intersections of subspaces with a highdimensional object, can easily display structure of only low codimension (and hence often high dimension). However, compositions of sections and projections, here called prosections, can display aspects of structure of any intermediate dimension. These statements are relevant for data analysis: projections of data can be easily generated with xyscatterplots, 3D data rotations, and grand tours, while sections can be approximated in existing systems by scatterplot brushing and painting. Thus this paper is in part an investigation into the principles underlying these techniques.
Milestones in the history of thematic cartography, statistical graphics, and data visualization
 13TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA 2002), AIX EN PROVENCE
, 1995
"... ..."
Intelligent Support for Exploratory Data Analysis
 Journal of Computational and Graphical Statistics
, 1998
"... Exploratory data analysis (EDA) is as much a matter of strategy as of selecting specific statistical operations. We have developed a knowledgebased planning system, called Aide, to help users with EDA. Aide strikes a balance between conventional statistical packages, which need guidance for ever ..."
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Cited by 25 (4 self)
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Exploratory data analysis (EDA) is as much a matter of strategy as of selecting specific statistical operations. We have developed a knowledgebased planning system, called Aide, to help users with EDA. Aide strikes a balance between conventional statistical packages, which need guidance for every step in the exploration, and autonomous systems, which leave the user entirely out of the decisionmaking process. Aide's processing is based on artificial intelligence planning techniques, which give us a useful means of representing some types of statistical strategy. In this article we describe the design of Aide and its behavior in exploring a small, complex dataset. Keywords: exploratory data analysis, artificial intelligence 1 1 Strategic aspects of exploration Exploring data is as much a matter of strategy as of selecting specific statistical operations. In his introduction to exploratory data analysis, for example, Tukey begins by laying out some general guidelines for desc...