Year |
Citation |
Score |
2020 |
Qiao X, Qian C, James GM, Guo S. Doubly functional graphical models in high dimensions Biometrika. 107: 415-431. DOI: 10.1093/Biomet/Asz072 |
0.421 |
|
2019 |
Qiao X, Guo S, James GM. Functional Graphical Models Journal of the American Statistical Association. 114: 211-222. DOI: 10.1080/01621459.2017.1390466 |
0.34 |
|
2015 |
Fan Y, James GM, Radchenko P. Functional additive regression Annals of Statistics. 43: 2296-2325. DOI: 10.1214/15-Aos1346 |
0.453 |
|
2015 |
Radchenko P, Qiao X, James GM. Index Models for Sparsely Sampled Functional Data Journal of the American Statistical Association. 110: 824-836. DOI: 10.1080/01621459.2014.931859 |
0.433 |
|
2014 |
Fan Y, Foutz N, James GM, Jank W. Functional response additive model estimation with online virtual stock markets Annals of Applied Statistics. 8: 2435-2460. DOI: 10.1214/14-Aoas781 |
0.405 |
|
2013 |
Tian TS, James GM. Interpretable dimension reduction for classifying functional data Computational Statistics and Data Analysis. 57: 282-296. DOI: 10.1016/J.Csda.2012.06.017 |
0.385 |
|
2012 |
Tian TS, James GM, Wilcox RR. A multivariate adaptive stochastic search method for dimensionality reduction in classification Annals of Applied Statistics. 6: 340-365. DOI: 10.1214/09-Aoas284 |
0.379 |
|
2011 |
Radchenko P, James GM. Improved variable selection with Forward-Lasso adaptive shrinkage Annals of Applied Statistics. 5: 427-448. DOI: 10.1214/10-Aoas375 |
0.405 |
|
2010 |
Guo J, James G, Levina E, Michailidis G, Zhu J. Principal Component Analysis With Sparse Fused Loadings. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 19: 930-946. PMID 25878487 DOI: 10.1198/Jcgs.2010.08127 |
0.34 |
|
2010 |
Radchenko P, James GM. Variable selection using Adaptive Nonlinear Interaction Structures in High dimensions Journal of the American Statistical Association. 105: 1541-1553. DOI: 10.1198/Jasa.2010.Tm10130 |
0.353 |
|
2010 |
Tian TS, Wilcox RR, James GM. Data reduction in classification: A simulated annealing based projection method Statistical Analysis and Data Mining. 3: 319-331. DOI: 10.1002/Sam.V3:5 |
0.403 |
|
2010 |
Tian TS, Wilcox RR, James GM. Data reduction in classification: A simulated annealing based projection method: Data Reduction in Classification Statistical Analysis and Data Mining. 3: 319-331. DOI: 10.1002/Sam.10087 |
0.304 |
|
2009 |
Sood A, James GM, Tellis GJ. Functional regression: A new model for predicting market penetration of new products Marketing Science. 28: 36-51. DOI: 10.1287/Mksc.1080.0382 |
0.35 |
|
2009 |
James GM, Wang J, Zhu J. Functional linear regression that's interpretable 1 Annals of Statistics. 37: 2083-2108. DOI: 10.1214/08-Aos641 |
0.311 |
|
2009 |
James GM, Radchenko P, Lv J. DASSO: Connections between the Dantzig selector and lasso Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 127-142. DOI: 10.1111/J.1467-9868.2008.00668.X |
0.332 |
|
2009 |
James GM, Radchenko P. A generalized Dantzig selector with shrinkage tuning Biometrika. 96: 323-337. DOI: 10.1093/Biomet/Asp013 |
0.394 |
|
2008 |
Radchenko P, James GM. Variable inclusion and shrinkage algorithms Journal of the American Statistical Association. 103: 1304-1315. DOI: 10.1198/016214508000000481 |
0.412 |
|
2007 |
James GM. Curve alignment by moments The Annals of Applied Statistics. 1: 480-501. DOI: 10.1214/07-Aoas127 |
0.372 |
|
2006 |
James GM, Sood A. Performing hypothesis tests on the shape of functional data Computational Statistics and Data Analysis. 50: 1774-1792. DOI: 10.1016/J.Csda.2005.02.010 |
0.375 |
|
2005 |
Scott SL, James GM, Sugar CA. Hidden Markov models for longitudinal comparisons Journal of the American Statistical Association. 100: 359-369. DOI: 10.1198/016214504000001592 |
0.339 |
|
2005 |
James GM, Silverman BW. Functional adaptive model estimation Journal of the American Statistical Association. 100: 565-576. DOI: 10.1198/016214504000001556 |
0.431 |
|
2003 |
James GM, Sugar CA. Clustering for sparsely sampled functional data Journal of the American Statistical Association. 98: 397-408. DOI: 10.1198/016214503000189 |
0.352 |
|
2003 |
Sugar CA, James GM. Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach Journal of the American Statistical Association. 98: 750-763. DOI: 10.1198/016214503000000666 |
0.317 |
|
2003 |
James GM. Variance and bias for general loss functions Machine Learning. 51: 115-135. DOI: 10.1023/A:1022899518027 |
0.343 |
|
2002 |
James GM. Generalized linear models with functional predictors Journal of the Royal Statistical Society. Series B: Statistical Methodology. 64: 411-432. DOI: 10.1111/1467-9868.00342 |
0.429 |
|
2001 |
James GM, Hastie TJ. Functional linear discriminant analysis for irregularly sampled curves Journal of the Royal Statistical Society. Series B: Statistical Methodology. 63: 533-550. DOI: 10.1111/1467-9868.00297 |
0.393 |
|
1998 |
James G, Hastie T. The Error Coding Method and PICTs Journal of Computational and Graphical Statistics. 7: 377-387. DOI: 10.1080/10618600.1998.10474782 |
0.31 |
|
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