| A modified principal component technique based on the LASSO IT Jolliffe, NT Trendafilov, M Uddin Journal of computational and Graphical Statistics 12 (3), 531-547, 2003 | 1046 | 2003 |
| From simple structure to sparse components: a review NT Trendafilov Computational Statistics 29, 431-454, 2014 | 110 | 2014 |
| In search of simple structures in climate: simplifying EOFs A Hannachi, IT Jolliffe, DB Stephenson, N Trendafilov International Journal of Climatology: A Journal of the Royal Meteorological …, 2006 | 101 | 2006 |
| Projected gradient approach to the numerical solution of the SCoTLASS NT Trendafilov, IT Jolliffe Computational Statistics & Data Analysis 50 (1), 242-253, 2006 | 74 | 2006 |
| The orthogonally constrained regression revisited MT Chu, NT Trendafilov Journal of Computational and Graphical Statistics 10 (4), 746-771, 2001 | 74 | 2001 |
| DALASS: Variable selection in discriminant analysis via the LASSO NT Trendafilov, IT Jolliffe Computational Statistics & Data Analysis 51 (8), 3718-3736, 2007 | 69 | 2007 |
| Independent component analysis of climate data: a new look at EOF rotation A Hannachi, S Unkel, NT Trendafilov, IT Jolliffe Journal of Climate 22 (11), 2797-2812, 2009 | 57 | 2009 |
| Stepwise estimation of common principal components NT Trendafilov Computational Statistics & Data Analysis 54 (12), 3446-3457, 2010 | 55 | 2010 |
| Simultaneous parameter estimation in exploratory factor analysis: An expository review S Unkel, NT Trendafilov International Statistical Review 78 (3), 363-382, 2010 | 50 | 2010 |
| On a differential equation approach to the weighted orthogonal Procrustes problem MT Chu, NT Trendafilov Statistics and Computing 8, 125-133, 1998 | 49 | 1998 |
| Sparse exploratory factor analysis NT Trendafilov, S Fontanella, K Adachi Psychometrika 82, 778-794, 2017 | 46 | 2017 |
| Sparse versus simple structure loadings NT Trendafilov, K Adachi Psychometrika 80, 776-790, 2015 | 42 | 2015 |
| Exploratory factor analysis of data matrices with more variables than observations NT Trendafilov, S Unkel Journal of Computational and Graphical Statistics 20 (4), 874-891, 2011 | 38 | 2011 |
| A clustering approach to interpretable principal components DG Enki, NT Trendafilov, IT Jolliffe Journal of Applied Statistics 40 (3), 583-599, 2013 | 37 | 2013 |
| The multimode Procrustes problem NT Trendafilov, RA Lippert Linear algebra and its applications 349 (1-3), 245-264, 2002 | 35 | 2002 |
| Sparse principal component analysis subject to prespecified cardinality of loadings K Adachi, NT Trendafilov Computational Statistics 31, 1403-1427, 2016 | 34 | 2016 |
| Exploratory factor and principal component analyses: some new aspects NT Trendafilov, S Unkel, W Krzanowski Statistics and Computing 23, 209-220, 2013 | 34 | 2013 |
| Orthomax rotation problem. a differential equation approach MT Chu, NT Trendafilov Behaviormetrika 25 (1), 13-23, 1998 | 25 | 1998 |
| Some mathematical properties of the matrix decomposition solution in factor analysis K Adachi, NT Trendafilov Psychometrika 83, 407-424, 2018 | 23 | 2018 |
| Archetypal analysis: Mining weather and climate extremes A Hannachi, N Trendafilov Journal of Climate 30 (17), 6927-6944, 2017 | 22 | 2017 |
Mark GirolamiUniversity of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
