Gareth M. James | Academic Influence

Gareth M. James's AcademicInfluence.com Rankings

Gareth M. James

Mathematics

#6137

World Rank

#8556

Historical Rank

Statistics

#531

World Rank

#610

Historical Rank

Measure Theory

#1954

World Rank

#2376

Historical Rank

mathematics Degrees

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Mathematics

Gareth M. James's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Mathematics University of Bath

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Why Is Gareth M. James Influential?

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According to Wikipedia, Gareth Michael James is the John H. Harland Dean of Emory University's Goizueta Business School. Early life and education Gareth M. James is a native of New Zealand. In 1994, he earned a bachelor of science and a bachelor of commerce from the University of Auckland, New Zealand, where he majored in statistics and finance. He was awarded a Fulbright Scholarship to study in the United States and attended Stanford University, where he earned a Ph.D. in statistics in 1998.

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Gareth M. James'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

An Introduction to Statistical Learning (2021) (5998)
Finding the Number of Clusters in a Dataset (2003) (629)
Clustering for Sparsely Sampled Functional Data (2003) (514)
Principal component models for sparse functional data (1999) (459)
Generalized linear models with functional predictors (2002) (401)
Functional linear discriminant analysis for irregularly sampled curves (2001) (310)
Sure independence screening for ultrahigh dimensional feature space Discussion (2008) (297)
Functional linear regression that's interpretable (2009) (224)
DASSO: connections between the Dantzig selector and lasso (2009) (192)
Variance and Bias for General Loss Functions (2003) (167)
Functional Regression: A New Model for Predicting Market Penetration of New Products (2009) (130)
Tree-Based Methods (2021) (122)
Functional additive regression (2015) (115)
Variable Selection Using Adaptive Nonlinear Interaction Structures in High Dimensions (2010) (115)
Curve alignment by moments (2007) (112)
Functional Adaptive Model Estimation (2005) (110)
Bayesian sparse hidden components analysis for transcription regulation networks (2005) (110)
Majority vote classifiers: theory and applications (1998) (95)
Challenges For Spoken Dialogue Systems (1999) (81)
A generalized Dantzig selector with shrinkage tuning (2009) (80)
The Error Coding Method and PICTs (1998) (77)
Functional Graphical Models (2018) (69)
Predicting the Path of Technological Innovation: SAW Versus Moore, Bass, Gompertz, and Kryder (2012) (66)
Improving lactose digestion and symptoms of lactose intolerance with a novel galacto-oligosaccharide (RP-G28): a randomized, double-blind clinical trial (2013) (62)
Hidden Markov Models for Longitudinal Comparisons (2005) (52)
Improved variable selection with Forward-Lasso adaptive shrinkage (2011) (48)
Principal Component Analysis With Sparse Fused Loadings (2010) (45)
Linear Model Selection and Regularization (2021) (38)
Generalizations of the Bias/Variance Decomposition for Prediction Error (1997) (37)
Support Vector Machines (2021) (36)
The Constrained Lasso (2012) (35)
Variable Inclusion and Shrinkage Algorithms (2008) (33)
FUNCTIONAL RESPONSE ADDITIVE MODEL ESTIMATION WITH ONLINE VIRTUAL STOCK MARKETS (2014) (33)
Interpretable dimension reduction for classifying functional data (2013) (32)
Penalized and Constrained Regression (2013) (31)
Doubly functional graphical models in high dimensions (2020) (30)
Automated multidimensional phenotypic profiling using large public microarray repositories (2009) (27)
Discrete State Analysis for Interpretation of Data From Clinical Trials (2004) (24)
Performing Hypothesis Tests on the Shape of Functional Data (2006) (23)
Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising (2020) (22)
Efficient Large-Scale Internet Media Selection Optimization for Online Display Advertising (2018) (19)
Index Models for Sparsely Sampled Functional Data (2015) (17)
A comparison of outcomes among patients with schizophrenia in two mental health systems: A health state approach (2006) (17)
Sparse Regulatory Networks. (2010) (15)
Nonparametric Empirical Bayes Estimation on Heterogeneous Data (2020) (13)
Forward-LASSO with Adaptive Shrinkage (2009) (11)
Functional Regression: A New Model and Approach for Predicting Market Penetration of New Products (2008) (8)
Interpretable Dimensionality Reduction for Classification with Functional Data (2010) (8)
A multivariate adaptive stochastic search method for dimensionality reduction in classification (2010) (7)
Leapfrogging, Cannibalization, and Survival During Disruptive Technological Change: The Critical Role of Rate of Disengagement (2020) (7)
Data reduction in classification: A simulated annealing based projection method (2010) (7)
Sparseness and functional data analysis (2018) (7)
Statistics within business in the era of big data (2018) (6)
Error coding and PaCT's (1997) (6)
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification (2021) (5)
Moments Based Functional Synchronization (2005) (4)
Moving Beyond Linearity (2021) (3)
Information Loss and Power Distortion from Standardizing in Multiple Hypothesis Testing (2019) (3)
Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing (2019) (3)
Forecasting the Sales of Music Albums : A Functional Data Analysis of Demand and Supply Side P 2 P Data (2009) (2)
Irrational Exuberance: Correcting Bias in Probability Estimates (2019) (2)
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Binary Classification (2021) (1)
Index Models for Sparsely Sampled Functional Data . Supplementary Material . May 21 , 2014 1 Proof of Theorem 2 (2014) (1)
Functional Forecasting of Demand Decay Rates using Online Virtual Stock Markets (2008) (1)
Machine Learning and Big Data Analytics Section 6 Emily Mower October 2018 (2018) (0)
Curve Alignment by Moments 1 (2007) (0)
2014 Ziegel Award Announcement (2016) (0)
Comment: "Clustering Random Curves..." Gareth M. James; Wenguang Sun; Xinghao Qiao (2012) (0)
Supplementary Material to “ Functional Graphical Models ” (2017) (0)
Optimal Large-Scale Internet Media Selection (2015) (0)
An Adaptive Lasso Method for Dimensionality Reduction in Classification (2008) (0)
Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm (2021) (0)
Discussion : Clustering Random Curves Under Spatial Dependence (2012) (0)
Documentation for the R-code to implement the GDS methodology in “ The Double Dantzig (2007) (0)
Supplementary material for Forward-LASSO with Adaptive Shrinkage (2010) (0)
Efficient Large-Scale Media Selection Optimization for Online Display Advertising: Web Appendix (2018) (0)
The Functional Regression : A New Model and Approach for Forecasting Market Penetration of New Products (2007) (0)
The Double Dantzig G (2007) (0)
Comment (2012) (0)
Marketing Applications of Functional Data Analysis (2008) (0)
Documentation for the R-code to implement the FLRTI methodology in “ Functional Linear Regression That ’ s Interpretable ” (2007) (0)
The Error Coding and Substitution PaCTs (1997) (0)
An Empirical Bayes Shrinkage Method for Functional Data (2020) (0)
Supplementary Material For: Functional Additive Regression (2015) (0)
Empirical Analysis of Online Auctions (2008) (0)

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What Schools Are Affiliated With Gareth M. James?

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