Andreas Buja

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Multiple channel complexity: Conceptualization and measurement

Nermin Eyuboglu, Sertan Kabadayi, Andreas Buja, 2017 .

Interactive High-Dimensional Data Visualization

Andreas Buja, Dianne Cook, A. Buja, 1996 .

Tourr: An R package for exploring multivariate data with projections

Heike Hofmann, Andreas Buja, Dianne Cook, 2011 .

Graphical inference for infovis

Heike Hofmann, Andreas Buja, Dianne Cook, 2010, IEEE Transactions on Visualization and Computer Graphics.

Stress functions for nonlinear dimension reduction, proximity analysis, and graph drawing

Andreas Buja, Lisha Chen, 2013, J. Mach. Learn. Res..

Computational Methods for High-Dimensional Rotations in Data Visualization

Andreas Buja, Catherine Hurley, Dianne Cook, 2005 .

Manual Controls for High-Dimensional Data Projections

Dianne Cook, Andreas Buja, A. Buja, 1997 .

Optimal denoising of simultaneously sparse and low rank matrices in high dimensions

Dan Yang, Andreas Buja, Zongming Ma, 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

Dokyun Lee, Andreas Buja, Kartik Hosanagar, 2014 .

[OMEGA (Online Multivariate Exploratory Graphical Analysis): Routine Searching for Structure]: Comment

Andreas Buja, Catherine B. Hurley, 1990 .

XGobi: Interactive Dynamic Data Visualization in the X Window System

Andreas Buja, Deborah F. Swayne, Dianne Cook, 1998 .

GGobi: evolving from XGobi into an extensible framework for interactive data visualization

Duncan Temple Lang, Andreas Buja, Deborah F. Swayne, 2003, Comput. Stat. Data Anal..

Grand Tours, Projection Pursuit Guided Tours, and Manual Controls

Dianne Cook, Andreas Buja, Hadley Wickham, 2008 .

A Visualization Tool for Mining Large Correlation Tables: The Association Navigator

Andreas Buja, Edward I. George, Abba M. Krieger, 2016, Handbook of Big Data.

Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting

David Mease, Andreas Buja, Abraham J. Wyner, 2007, 0804.2757.

Grand tour and projection pursuit

Andreas Buja, Catherine B. Hurley, Dianne Cook, 1995 .

Create and Manipulate Discrete Random Variables

Heike Hofmann, Andreas Buja, Eric Hare, 2015 .

Manipulation of Discrete Random Variables with discreteRV

Heike Hofmann, Andreas Buja, Eric Hare, 2015, R J..

Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices

Dan Yang, Andreas Buja, Zongming Ma, 2014, J. Mach. Learn. Res..

Painting multiple views of complex objects

Andreas Buja, John Alan McDonald, Werner Stuetzle, 1990, OOPSLA/ECOOP '90.

A Conversation with Peter Huber

Andreas Buja, Hans R. Kunsch, 2008 .

Visualizing the embedding of objects in Euclidean space

Michael L. Littman, Nathaniel Dean, Andreas Buja, 1992 .

Robust phoneme discrimination using acoustic waveforms

Baltasar Beferull-Lozano, Andreas Buja, Zoran Cvetkovic, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Using recursive partitioning to find and estimate heterogenous treatment effects in randomized clinical trials

Andreas Buja, Richard Berk, Matthew Olson, 2018, Journal of Experimental Criminology.

An Interface to the DescribeDisplay GGobi Plugin

Andreas Buja, Hadley Wickham, Barret Schloerke, 2016 .

Data mining criteria for tree-based regression and classification

Andreas Buja, Yung-Seop Lee, A. Buja, 2001, KDD '01.

Exploratory Visual Analysis of Graphs in GGOBI

Andreas Buja, Deborah F. Swayne, A. Buja, 2004 .

The Need of Real Time Graphics and the Example of Multidimensional Scaling

Andreas Buja, 1983 .

A Sparse SVD Method for High-dimensional Data

Dan Yang, Andreas Buja, Zongming Ma, 2011, 1112.2433.

Visualization Methodology for Multidimensional Scaling

Andreas Buja, Deborah F. Swayne, A. Buja, 2002, J. Classif..

XGvis: Interactive Data Visualization with Multidimensional Scaling

Michael L. Littman, Nathaniel Dean, Andreas Buja, 1998 .

Analyzing High-Dimensional Data with Motion Graphics

Andreas Buja, Catherine B. Hurley, Catherine Hurley, 1990, SIAM J. Sci. Comput..

Boosted Classification Trees and Class Probability/Quantile Estimation

David Mease, Andreas Buja, Abraham J. Wyner, 2007, J. Mach. Learn. Res..

Computing and Graphics in Statistics.

Andreas Buja, Chris Chatfield, Paul A. Tukey, 1992 .

XGobi Meets S: Integrating Software for Data Analysis,

Andreas Buja, Deborah F. Swayne, Nancy Hubbell, 1992 .

The plumbing of interactive graphics

Heike Hofmann, Andreas Buja, Deborah F. Swayne, 2009, Comput. Stat..

Empirical Comparisons of Neural Networks and Statistical Methods for Classification and Regression

Andreas Buja, Arvind Jain, Diane Duffy, 1994 .

Grand tour methods: an outline

Andreas Buja, Daniel Asimov, A. Buja, 1986 .

Xgobi: Interactive Dynamic Graphics In The X Window System With A Link To S

Andreas Buja, Deborah F. Swayne, David Howard Cook, 1991 .

Recommender systems and their effects on consumers: the fragmentation debate

Andreas Buja, Kartik Hosanagar, Daniel M. Fleder, 2010, EC '10.

Sampling Schemes for Model Visualization

Andreas Buja, Robert Spence, Andrew J Smith, 2001 .

Designing an intelligent system for spectral analysis

Andreas Buja, Donald B. Percival, E. O. Belcher, 1986 .

Interactive data visualization using focusing and linking

Andreas Buja, John Alan McDonald, Werner Stuetzle, 1991, Proceeding Visualization '91.

Smoothing Effects of Bagging

Andreas Buja, Werner Stuetzle, A. Buja, 2000 .

UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK

Andreas Buja, Arun Kumar Kuchibhotla, Edward I. George, 2018, Econometric Theory.

The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Kai Zhang, 2014 .

Models as Approximations II: A Model-Free Theory of Parametric Regression

Andreas Buja, Linda Zhao, Arun K. Kuchibhotla, 2016, Statistical Science.

Models as Approximations I: Consequences Illustrated with Linear Regression

Kai Zhang, Andreas Buja, Mikhail Traskin, 2014, Statistical Science.

Misspecified Mean Function Regression

Andreas Buja, Kai Zhang, Linda Zhao, 2014 .

Subcategories of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders

Andreas Buja, Andrew Pickles, Catherine Lord, 2013, Journal of autism and developmental disorders.

Recommender Systems and their Effects on Consumers

Andreas Buja, Kartik Hosanagar, Daniel M. Fleder, 2011 .

Response to Mease and Wyner, evidence contrary to the statistical view of boosting, JMLR 9

Andreas Buja, Werner Stuetzle, 2008 .

Estimating Optimal Transformations for Multiple Regression and Correlation: Comment

Robert E. Kass, Andreas Buja, A. Buja, 1985 .

Viewing high dimensional data by painting multiple views . *

Andreas Buja, Werner Stuetzle, John A. McDonald, 1989 .

Semi-Supervised Linear Regression

Andreas Buja, Lawrence D. Brown, Linda Zhao, 2016, Journal of the American Statistical Association.

Direction and Motion Control in the Ground Tour

Andreas Buja, Di Cook, Javier Cabrera, 1992 .

Simultaneously least favorable experiments

Andreas Buja, A. Buja, 1985 .

On the Huber-Strassen theorem

Andreas Buja, A. Buja, 1986 .

Dosage-dependent phenotypes in models of 16p11.2 lesions found in autism

Andreas Buja, R. Mark Henkelman, Jason P. Lerch, 2011, Proceedings of the National Academy of Sciences.

Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders

Boris Yamrom, Kenny Q. Ye, Andreas Buja, 2011, Neuron.

GGobi: XGobi Redesigned and Extended

Duncan Temple Lang, Andreas Buja, Deborah F. Swayne, 2006 .

Theory of Bivariate ACE

Andreas Buja, A. Buja, 2007 .

Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2014 .

Simultaneously least favorable experiments

Andreas Buja, A. Buja, 1984 .

Computing and graphics in statistics

Andreas Buja, Paul A. Tukey, 1992 .

Visual Comparison of Datasets Using Mixture Decompositions

Andreas Buja, A. Buja, Alan Gous, 2004 .

Degrees of Boosting – A Study of Loss Functions for Classification and Class Probability Estimation

Andreas Buja, Werner Stuetzle, A. Buja, .

[Prosection Views: Dimensional Inference through Sections and Projections]: Rejoinder

George W. Furnas, Andreas Buja, 1994 .

Discussion: Multivariate Adaptive Regression Splines

Trevor Hastie, Robert Tibshirani, Andreas Buja, 1991 .

Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2015 .

Comment: Some Observations on ACE Methodology

Robert E. Kass, Andreas Buja, 1985 .

A Sparse Singular Value Decomposition Method for High-Dimensional Data

Andreas Buja, Zongming Ma, Dan Yang, 2014 .