Andreas Buja
#122,943
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Swiss statistician
Andreas Buja's AcademicInfluence.com Rankings
Andreas Bujamathematics Degrees
Mathematics
#6916
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#9493
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Statistics
#863
World Rank
#955
Historical Rank
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Mathematics
Andreas Buja's Degrees
- PhD Statistics University of Zurich
Why Is Andreas Buja Influential?
(Suggest an Edit or Addition)According to Wikipedia, Andreas Buja is a Swiss statistician and professor of statistics. He is the Liem Sioe Liong/First Pacific Company professor in the Statistics department of The Wharton School at the University of Pennsylvania in Philadelphia, United States. Buja joined Center for Computational Mathematics as a Senior Research Scientist in January 2020.
Andreas Buja's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Penalized Discriminant Analysis (1995) (910)
- Flexible Discriminant Analysis by Optimal Scoring (1994) (716)
- Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders (2011) (699)
- Valid post-selection inference (2013) (498)
- Remarks on Parallel Analysis. (1992) (496)
- Interactive High-Dimensional Data Visualization (1996) (423)
- Interactive data visualization using focusing and linking (1991) (348)
- XGobi: Interactive Dynamic Data Visualization in the X Window System (1998) (309)
- Data Visualization With Multidimensional Scaling (2008) (298)
- Dosage-dependent phenotypes in models of 16p11.2 lesions found in autism (2011) (279)
- Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications (2005) (269)
- GGobi: evolving from XGobi into an extensible framework for interactive data visualization (2003) (263)
- Boosted Classification Trees and Class Probability/Quantile Estimation (2007) (254)
- Grand tour and projection pursuit (1995) (252)
- Subcategories of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders (2013) (245)
- Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis (2009) (214)
- Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation (2014) (169)
- Exploring the Relationship Between Anxiety and Insistence on Sameness in Autism Spectrum Disorders (2013) (145)
- Statistical inference for exploratory data analysis and model diagnostics (2009) (130)
- Projection Pursuit Indexes Based on Orthonormal Function Expansions (1993) (125)
- Remarks on Functional Canonical Variates, Alternating Least Squares Methods and Ace (1990) (125)
- Xgobi: Interactive Dynamic Graphics In The X Window System With A Link To S (1991) (120)
- Grand tour methods: an outline (1986) (118)
- Prosection Views: Dimensional Inference through Sections and Projections (1994) (114)
- Graphical inference for infovis (2010) (108)
- OBSERVATIONS ON BAGGING (2006) (102)
- Visualization Methodology for Multidimensional Scaling (2002) (91)
- Tourr: An R package for exploring multivariate data with projections (2011) (74)
- Data mining criteria for tree-based regression and classification (2001) (72)
- The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions (2009) (72)
- Manual Controls for High-Dimensional Data Projections (1997) (71)
- Functional principal components analysis via penalized rank one approximation (2008) (71)
- Analyzing High-Dimensional Data with Motion Graphics (1990) (70)
- Models as Approximations I: Consequences Illustrated with Linear Regression (2014) (69)
- Painting multiple views of complex objects (1990) (61)
- XGvis: Interactive Data Visualization with Multidimensional Scaling (1998) (60)
- Inequalities and Positive-Definite Functions Arising from a Problem in Multidimensional Scaling (1994) (57)
- Flexible discriminant and mixture models (2000) (54)
- Computational Methods for High-Dimensional Rotations in Data Visualization (2005) (51)
- The Power to See: A New Graphical Test of Normality (2013) (50)
- Quasi-Darwinian Selection in Marketing Relationships. (2007) (50)
- Missing Data in Interactive High-Dimensional Data Visualization (1998) (47)
- Damaging de novo mutations diminish motor skills in children on the autism spectrum (2018) (46)
- Analysis of Additive Dependencies and Concurvities Using Smallest Additive Principal Components (1994) (43)
- Exploratory Visual Analysis of Graphs in GGOBI (2004) (42)
- Calibration for Simultaneity : ( Re ) Sampling Methods for Simultaneous Inference with Applications to Function Estimation and Functional Data (39)
- Interactive Data Visualization with Multidimensional Scaling (36)
- Models as Approximations II: A Model-Free Theory of Parametric Regression (2016) (36)
- Dynamics of channel negotiations: Contention and reciprocity (1993) (34)
- Grand Tours, Projection Pursuit Guided Tours, and Manual Controls (2008) (34)
- On the Huber-Strassen theorem (1986) (33)
- Recommender systems and their effects on consumers: the fragmentation debate (2010) (33)
- A Sparse Singular Value Decomposition Method for High-Dimensional Data (2014) (32)
- Covariance Adjustments for the Analysis of Randomized Field Experiments (2013) (31)
- Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression (2014) (30)
- Computing and Graphics in Statistics. (1992) (26)
- Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices (2014) (26)
- XGobi Meets S: Integrating Software for Data Analysis, (1992) (26)
- Semi-Supervised Linear Regression (2016) (26)
- The plumbing of interactive graphics (2009) (23)
- Visualizing the embedding of objects in Euclidean space (1992) (22)
- Stress functions for nonlinear dimension reduction, proximity analysis, and graph drawing (2013) (22)
- Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression (2015) (21)
- A Model Free Perspective for Linear Regression: Uniform-in-model Bounds for Post Selection Inference (2018) (21)
- A Sparse SVD Method for High-dimensional Data (2011) (21)
- Valid post-selection inference in model-free linear regression (2020) (19)
- Estimating Optimal Transformations for Multiple Regression and Correlation: Comment (1985) (18)
- Misspecified Mean Function Regression (2014) (17)
- Theory and Computational Methods for Dynamic Projections in High-Dimensional Data Visualization (1999) (16)
- Calibrated Percentile Double Bootstrap For Robust Linear Regression Inference (2015) (14)
- Assumption Lean Regression (2018) (13)
- Simultaneously least favorable experiments (1984) (13)
- Visual Comparison of Datasets Using Mixture Decompositions (2004) (13)
- Rejoinder: Linear Smoothers and Additive Models (1989) (12)
- Smoothing Effects of Bagging (2000) (11)
- Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers (2014) (11)
- Improved Precision in Estimating Average Treatment Effects (2013) (11)
- Valid Post-selection Inference in Assumption-lean Linear Regression (2018) (11)
- Grand tour via geodesic interpolation of 2-frames (1994) (10)
- Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting (2007) (10)
- Rates of contributory de novo mutation in high and low-risk autism families (2021) (10)
- Comment: Some Observations on ACE Methodology (1985) (9)
- Aldor-Noiman, S., Brown, L.D., Buja, A., Rolke, W., and Stine, R.A. (2013), “The Power to See: A New Graphical Test of Normality,” The American Statistician, 67, 249–260 (2014) (9)
- Multiple channel complexity: Conceptualization and measurement (2017) (9)
- Working with Misspecified Regression Models (2018) (9)
- The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression (2014) (8)
- A Conspiracy of Random X and Model Violation against Classical Inference in Linear Regression (2013) (8)
- Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions (2020) (8)
- Model-free Study of Ordinary Least Squares Linear Regression (2018) (8)
- Models as Approximations --- Part II: A General Theory of Model-Robust Regression (2016) (8)
- Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression (2014) (8)
- Direction and Motion Control in the Ground Tour (1992) (7)
- Discussion: Multivariate Adaptive Regression Splines (1991) (7)
- GGobi: XGobi Redesigned and Extended (2006) (6)
- Theory of Dynamic Projections in High-Dimensional Data Visualization (2004) (6)
- Discussion: “A significance test for the lasso” (2014) (6)
- Sufficiency, least favorable experiments and robust tests (1980) (6)
- Misspecified Mean Function Regression: Making Good Use of Regression Models That Are Wrong (2021) (5)
- Measuring shared variants in cohorts of discordant siblings with applications to autism (2017) (5)
- Tukey's Paper After 40 Years, With Discussion (2006) (5)
- Degrees of Boosting – A Study of Loss Functions for Classification and Class Probability Estimation (5)
- Bagging Does Not Always Decrease Mean Squared Error (2000) (5)
- What Criterion for a Power Algorithm (1996) (5)
- Higher Dimensional Representations of Graphs (1995) (4)
- Recommender Systems and their Effects on Consumers (2011) (4)
- Simultaneously least favorable experiments (1985) (4)
- Introduction to the Special Section on Massive Datasets (1999) (4)
- Response to Mease and Wyner, evidence contrary to the statistical view of boosting, JMLR 9 (2008) (4)
- Quasi-Darwinian Selection in Marketing Relationships (2007) (3)
- Valid Post-selection Inference Online Appendix (2013) (3)
- Models as Approximations — A Conspiracy of Random Predictors and Model Violations Against Classical Inference in Regression (2014) (3)
- [Prosection Views: Dimensional Inference through Sections and Projections]: Rejoinder (1994) (3)
- Viewing high dimensional data by painting multiple views . * (1989) (3)
- Optimal denoising of simultaneously sparse and low rank matrices in high dimensions (2013) (3)
- A Visualization Tool for Mining Large Correlation Tables: The Association Navigator (2016) (3)
- Robust phoneme discrimination using acoustic waveforms (2002) (3)
- Using recursive partitioning to find and estimate heterogenous treatment effects in randomized clinical trials (2018) (3)
- A Conversation with Peter Huber (2008) (2)
- Smoothing Effects of Bagging: Von Mises Expansions of Bagged Statistical Functionals (2016) (2)
- A Tool for Mining Large Correlation Tables : The Association Navigator (2013) (2)
- Nonparametric methods in multivariate analysis: (Annual) progress report, July 15, 1985-November 30, 1987 (1987) (2)
- Discussion: The Use of Polynomial Splines and their Tensor Products in Multivariate Function Estimation (1994) (2)
- Penalized Split Criteria for Interpretable Trees (2013) (2)
- Theory of Bivariate ACE (2007) (2)
- Energy / Stress Functions for Dimension Reduction and Graph Drawing : Power Laws and Their Clustering Properties (2009) (2)
- Empirical Comparisons of Neural Networks and Statistical Methods for Classification and Regression (1994) (1)
- RareDeNovoandTransmittedCopy-NumberVariation in Autistic Spectrum Disorders (2011) (1)
- Models as Approximations—Rejoinder (2019) (1)
- All of Linear Regression (2019) (1)
- Damaging Mutations are Associated with Diminished Motor Skills and IQ in Children on the Autism Spectrum (2017) (1)
- Introduction: Special Issue on Systems and Languages (2000) (1)
- Discussion: Projection Pursuit (1985) (1)
- 1-2002 Visualization Methodology for Multidimensional Scaling (2017) (1)
- GGobi: A data visualization system (2011) (1)
- Winter Workshop on Dimension Reduction and High Dimensional Inference (2014) (1)
- Sampling Schemes for Model Visualization (2001) (1)
- Boosting Algorithms: Regularization, Prediction and Model Fitting. Comment. (2007) (1)
- Manipulation of Discrete Random Variables with discreteRV (2015) (1)
- Kernel Additive Principal Components (2015) (1)
- BOOTSTRAP VERSUS POSTERIORS : SINGLE VERSUS MULTIPLE PARAMETERS (2005) (0)
- DOES BAYES HAVE AN EDGE ? (2005) (0)
- Andreas Buja, Richard A. Berk, Arun K. Kuchibhotla, Linda Zhao and Ed George’s contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes (2022) (0)
- Recent Publications in JSS (2001) (0)
- The Need of Real Time Graphics and the Example of Multidimensional Scaling (1983) (0)
- Correction to: Working with Misspecified Regression Models (2020) (0)
- Reply to Lin (2014) (0)
- Correction to: Working with Misspecified Regression Models (2020) (0)
- O4.1 Pediatric burns in Kosovo (2011) (0)
- Elizabeth L Ogburn, Junhui Cai, Arun K Kuchibhotla, Richard A Berk and Andreas Buja’s contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes (2022) (0)
- Using recursive partitioning to find and estimate heterogenous treatment effects in randomized clinical trials (2020) (0)
- An Interface to the DescribeDisplay GGobi Plugin (2016) (0)
- Discussion (2006) (0)
- Create and Manipulate Discrete Random Variables (2015) (0)
- Controls For High-Dimensional (2007) (0)
- Models as Approximations — A Conspiracy of Random Regressors and Model Misspecification Against Classical Inference in Regression (2016) (0)
- UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK (2018) (0)
- Machine learning to predict overall short-term mortality in cutaneous melanoma (2023) (0)
- Rates of contributory de novo mutation in high and low-risk autism families (2021) (0)
- [OMEGA (Online Multivariate Exploratory Graphical Analysis): Routine Searching for Structure]: Comment (1990) (0)
- Working with Misspecified Regression Models (2017) (0)
- Comments on "Covariance Adjustments for the Analysis of Randomized Field Experiments'' Reply to Lin (2014) (0)
- A Motivating Example : The 4-point Ultrametric Locus (1994) (0)
- Sampling Schemes for Model (2007) (0)
- Subcategories of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders (2012) (0)
- Experiments Covariance Adjustments for the Analysis of Randomized Field (2014) (0)
- Discussion (2004) (0)
- [Computers in Statistical Research]: Comment (1986) (0)
- Designing an intelligent system for spectral analysis (1986) (0)
- Interactive Graphical Methods in the Analysis of Customer Panel Data: Comment (1996) (0)
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