20th Anniversary Featured Discussion - Why Tables Are Really Much Better Than Graphs (English)
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In:
Journal of computational and graphical statistics
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20
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; 3-8
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2011
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ISSN:
- Article (Journal) / Print
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Title:20th Anniversary Featured Discussion - Why Tables Are Really Much Better Than Graphs
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Contributors:Gelman, Andrew ( author )
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Published in:Journal of computational and graphical statistics ; 20, 1 ; 3-8
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Place of publication:Alexandria, Va.
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Publication date:2011
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ISSN:
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ZDBID:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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Table of contents – Volume 20, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Editorial: On Volume 20 and On Review TimesLevine, Richard A. et al. | 2011
- 3
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Why Tables Are Really Much Better Than GraphsGelman, Andrew et al. | 2011
- 3
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20th Anniversary Featured Discussion - Why Tables Are Really Much Better Than GraphsGelman, Andrew et al. | 2011
- 8
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CommentWainer, Howard et al. | 2011
- 8
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Comment - Why Tables Are Really Much Better Than GraphsWainer, Howard et al. | 2011
- 36
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RejoinderGelman, Andrew et al. | 2011
- 36
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Rejoinder - Why Tables Are Really Much Better Than GraphsGelman, Andrew et al. | 2011
- 41
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The Polya Tree Sampler: Toward Efficient and Automatic Independent Metropolis–Hastings ProposalsHanson, Timothy E. / Monteiro, João V. D. / Jara, Alejandro et al. | 2011
- 41
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Bayesian Computing - The Polya Tree Sampler: Toward Efficient and Automatic Independent Metropolis-Hastings ProposalsHanson, Timothy E et al. | 2011
- 63
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Divide and Conquer: A Mixture-Based Approach to Regional Adaptation for MCMCBai, Yan / Craiu, Radu V. / Di Narzo, Antonio F. et al. | 2011
- 80
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Bayesian Adaptive Sampling for Variable Selection and Model AveragingClyde, Merlise A. / Ghosh, Joyee / Littman, Michael L. et al. | 2011
- 102
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Particle Learning of Gaussian Process Models for Sequential Design and OptimizationGramacy, Robert B. / Polson, Nicholas G. et al. | 2011
- 119
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Monte Carlo Filtering of Piecewise Deterministic ProcessesWhiteley, Nick / Johansen, Adam M. / Godsill, Simon et al. | 2011
- 140
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Computational Aspects Related to Inference in Gaussian Graphical Models With the G-Wishart PriorLenkoski, Alex / Dobra, Adrian et al. | 2011
- 158
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Bayesian Analysis of Individual Choice Behavior With Aggregate DataPark, Taeyoung et al. | 2011
- 174
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Bayesian Mixtures of Autoregressive ModelsWood, Sally / Rosen, Ori / Kohn, Robert et al. | 2011
- 196
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Bayesian Nonparametrics - Fast Bayesian Inference in Dirichlet Process Mixture ModelsWang, Lianming et al. | 2011
- 196
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Fast Bayesian Inference in Dirichlet Process Mixture ModelsWang, Lianming / Dunson, David B. et al. | 2011
- 217
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Bayesian Nonparametric Modeling for Causal InferenceHill, Jennifer L. et al. | 2011
- 241
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Posterior Simulation of Normalized Random Measure MixturesGriffin, Jim E. / Walker, Stephen G. et al. | 2011
- 260
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A Product Partition Model With Regression on CovariatesMüller, Peter / Quintana, Fernando / Rosner, Gary L. et al. | 2011
- 279
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Recent Publications in JSS| 2011