Gareth James

Deputy Dean & E. Morgan Stanley Chair in Business Administration & Professor of Data Sciences and Operations
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PhD, Stanford University; BSc, BCom, University of Auckland

Gareth James is currently serving as the Interim Dean of the Marshall School of Business. He is an expert on statistical methodology in the areas of functional data analysis and high dimensional statistics, with particular application to marketing problems. Professor James has published extensively and is a co-author of one of the leading books on statistical learning methods. He teaches both MBA and PhD courses ranging from introductory statistics through to advanced modern non-linear regression techniques. He has won several research and teaching awards, including two Deans awards for Research Excellence and three Golden Apple awards for his MBA courses. Dr. James has also served as the PI or Co-PI on several NSF research grants and as an Associate Editor for journals such as JASA, JRSSB and Operations Research. He is an elected Fellow of the American Statistical Association and a life member of the Institute of Mathematical Statistics.
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Courtney Paulson, Lan Luo, Gareth James () "Efficient Large-Scale Internet Media Selection Optimization for Online Display Advertising ,"  Journal of Marketing Research  55, 489-506.
Gareth James () "Statistics within Business in the Era of Big Data ,"  Statistics and Probability Letters  136, 155-159.
Xinghao Qiao, Shaojun Guo, Gareth James () "Functional Graphical Models ,"  Journal of the American Statistical Association.
Joshua Derenski, Yingying Fan, Gareth James () "Discussion of "Random-projection ensemble classification" ,"  Journal of the Royal Statistical Society Series B  79, 1009-1010.
Yingying Fan, Gareth James, Peter Radchenko () "Functional additive regression ,"  Annals of Statistics  43, 2296-2325.
Peter Radchenko, Xinghao Qiao, Gareth James () "Index Models for Sparsely Sampled Functional Data ,"  Journal of the American Statistical Association  110, 824-836.
Yingying Fan, Natasha Foutz, Gareth James, Wolfgang Jank () "Functional forecasting of demand decay rates using online virtual stock markets ,"  The Annals of Applied Statistics  8, 2435-2460.
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani () "An Introduction to Statistical Learning ,"  Springer.
Dennis Savaiano, Andrew Ritter, Todd Klaenhammer, Gareth James, Amy Longcore, Justin Chandler, W Walker, Howard Foyt () "Improving lactose digestion and symptoms of lactose intolerance with a novel galacto-oligosaccharide (RP-G28): a randomized, double-blind clinical trial ,"  Nutrition Journal  12, 160.
Tian Tian, Gareth James () "Interpretable dimension reduction for classifying functional data ,"  COMPUTATIONAL STATISTICS & DATA ANALYSIS  57, 282-296.
Ashish Sood, Gareth James, Gerard Tellis, Ji Zhu () "Predicting the Path of Technological Innovation: SAW Versus Moore, Bass, Gompertz, and Kryder ,"  Marketing Science  31, 964-979.
Gareth James, Wenguang Sun, Xinghao Qiao () "Discussion of Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility ,"  Technometrics  54, 123-126.
Peter Radchenko, Gareth James () "Improved Variable Selection with Forward-Lasso Adaptive Shrinkage ,"  Annals of Applied Statistics  5, 427-448.
Peter Radchenko, Gareth James () "Variable Selection Using Adaptive Non-linear Interaction Structures in High dimensions ,"  Journal of the American Statistical Association  105, 1541-1553.
Siva Tian, Gareth James, Rand Wilcox () "A Multivariate Adaptive Stochastic Search Method for Dimensionality Reduction in Classification ,"  Annals of Applied Statistics  4, 339-364.
Gareth James () "The Oxford Handbook of Functional Data Analysis ,".
Gareth James, Peter Radchenko () "A Generalized Dantzig Selector with Shrinkage Tuning ,"  Biometrika  96, 323-337.
Min Xu, Wenyuan Li, Gareth James, Michael Mehan, Xianghong Zhou () "Automated Multi-dimensional Phenotypic Profiling Using Large Public Microarray Repositories ,"  Proceedings of the National Academy of Sciences .
Gareth James, Peter Radchenko, Jinchi Lv () "DASSO: connections between the Dantzig selector and Lasso ,"  Journal of the Royal Statistical Society Series B  71, 127-142.
Gareth James, Jing Wang, Ji Zhu () "Functional Linear Regression That's Interpretable ,"  Annals of Statistics  37, 2083-2108.
Ashish Sood, Gareth James, Gerard Tellis () "Functional Regression: A New Model for Predicting Market Penetration of New Products ,"  Marketing Science  28, 36-51.
Gareth James, Peter Radchenko () "Invited Discussion of "Sure Independence Screening for Ultrahigh Dimensional Feature Space" by Fan and Lv ,"  Journal of the Royal Statistical Society, Series B  70, 895-896.
Peter Radchenko, Gareth James () "Variable Inclusion and Shrinkage Algorithms ,"  Journal of the American Statistical Association  103, 1304-1315.
Gareth James () "Curve Alignment by Moments ,"  Annals of Applied Statistics  1, 480-501.
Gareth James, C. Sugar, R. Desai, R. Rosenheck () "A Comparison of Outcomes Among Patients with Schizophrenia in Two Mental Health Systems: A Health State Approach ,"  Schizophrenia Research   86, 309-320.
C. Sabatti, Gareth James () "Bayesian Sparse Hidden Components Analysis for Transcription Regulation Networks ,"  Bioinformatics  22, 737-744.
Gareth James, A. Sood () "Performing Hypothesis Tests on the Shape of Functional Data ,"  Computational Statistics and Data Analysis  50, 1774-1792.
Gareth James, B. Silverman () "Functional Adaptive Model Estimation ,"  Journal of the American Statistical Association  100, 565-576.
S. Scott, Gareth James, C. Sugar () "Using Hidden Markov Health State Models to Analyze Data from Clinical Trials ,"  Journal of the American Statistical Association  100, 359-369.
C. Sugar, Gareth James, L. Lenert, R. Rosenheck () "Discrete State Analysis for Interpretation of Data from Clinical Trials ,"  Medical Care  42, 183-196.
C. Sugar, Gareth James () "Finding the Number of Clusters in a Data Set: An Information Theoretic Approach ,"  Journal of the American Statistical Association  98, 750-763.
Gareth James () "Variance and Bias for General Loss Functions ,"  Machine Learning  51, 115-135.
Gareth James, C. Sugar () "Clustering for Sparsely Sampled Functional Data ,"  Journal of the American Statistical Association  98, 397-408.
Gareth James () "Generalized Linear Models with Functional Predictor Variables ,"  Journal of the Royal Statistical Society, Series B  64, 411-432.
Gareth James, T. Hastie () "Functional Linear Discriminant Analysis for Irregularly Sampled Curves ,"  Journal of the Royal Statistical Society, Series B  63, 587-602.
Gareth James, T. Hastie, C. Sugar () "Principal Component Models for Sparse Functional Data ,"  Biometrika  87, 587-602.
Gareth James, T. Hastie () "The Error Coding Method and PICTs ,"  Journal of Computational and Graphical Statistics  7, 377-387.