Currently browsing: Items authored or edited by Nickolay Trendafilov https://orcid.org/0000-0001-9309-1375

55 items in this list.
Generated on Mon Nov 23 15:16:03 2020 GMT.

Jump to:

2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 1999 | 1998 | 1996 | 1994

2019To Top

Eldén, Lars and Trendafilov, Nickolay (2019). Semi-sparse PCA. Psychometrika, 84(1) pp. 164–185.

Fontanella, Lara; Fontanella, Sara; Valentini, Pasquale and Trendafilov, Nickolay (2019). Simple Structure Detection Through Bayesian Exploratory Multidimensional IRT Models. Multivariate Behavioral Research, 54(1) pp. 100–112.

Uno, Kohei; Adachi, Kohei and Trendafilov, Nickolay T. (2019). Clustered Common Factor Exploration in Factor Analysis. Psychometrika, 84(4) pp. 1048–1067.

2018To Top

2017To Top

2016To Top

Adachi, Kohei and Trendafilov, Nickolay T. (2016). Sparse principal component analysis subject to prespecified cardinality of loadings. Computational Statistics, 31(4) pp. 1403–1427.

Gallo, Michele; Trendafilov, Nickolay and Buccianti, Antonella (2016). Sparse PCA and investigation of multielements compositional repositories: theory and applications. Environmental and Ecological Statistics, 23(3) pp. 421–434.

2015To Top

2014To Top

Fontanella, Sara; Trendafilov, Nickolay and Adachi, Kohei (2014). Sparse exploratory factor analysis. In: Proceedings of COMPSTAT 2014: 21st International Conference on Computational Statistics, pp. 281–288.

Trendafilov, Nickolay and Adachi, Kohei (2014). Penalty-free sparse PCA. In: Proceedings of COMPSTAT 2014: 21st International Conference on Computational Statistics, pp. 197–203.

2013To Top

Trendafilov, Nickolay; Unkel, Steffen and Krzanowski, Wojtek (2013). Exploratory factor and principal component analyses: some new aspects. Statistics and Computing, 23(2) pp. 209–220.

2012To Top

Trendafilov, Nickolay (2012). Dindscal: direct INDSCAL. Statistics and Computing, 22(2) pp. 445–454.

2011To Top

Unkel, Steffen; Hannachi, Abdel; Trendafilov, Nickolay T. and Jolliffe, Ian T. (2011). Independent component analysis for three-way data with an application from atmospheric science. Journal of Agricultural, Biological, and Environmental Statistics, 16(3) pp. 319–338.

Trendafilov, Nickolay T. and Unkel, Steffen (2011). Exploratory factor analysis of data matrices with more variables than observations. Journal of Computational and Graphical Statistics, 20(4) pp. 874–891.

2010To Top

Unkel, Steffen; Trendafilov, Nickolay T.; Hannachi, Abdel and Jolliffe, Ian T. (2010). Independent exploratory factor analysis with application to atmospheric science data. Journal of Applied Statistics, 37(11) pp. 1847–1862.

Kostova, Snezhanka; Trendafilov, Nickolay; Popova, Silviya and Georgieva, Nonka (2010). Eco-effcency: concept, approaches and assessment. Bulgarian Journal of Meteorology and Hydrology, 15(1) pp. 118–128.

Kostova, Snezhanka; Trendafilov, Nickolay; Popova, Silviya and Georgieva, Nonka (2010). Eco-efficiency: concept, approaches and assessment. Bulgarian Journal of Meteorology and Hydrology, 15(1) pp. 118–128.

2009To Top

Hannachi, A.; Unkel, S.; Trendafilov, N. T. and Joliffe, I. T. (2009). Independent component analysis of climate data: a new look at EOF rotation. Journal of Climate, 22(11) pp. 2797–2812.

Trendafilov, N. T. and Vines, K. (2009). Simple and interpretable discrimination. Computational Statistics and Data Analysis, 53(4) pp. 979–989.

Unkel, Steffen and Trendafilov, Nickolay (2009). Factor analysis as data matrix decomposition: a new approach for quasi-sphering in noisy ICA. In: Adali, Tülay; Jutten, Christian; Romano, João MarcosTravassos and Barros, Allan Kardec eds. Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings. Lecture Notes in Computer Science (5441). Berlin: Springer, pp. 163–170.

2007To Top

Trendafilov, Nickolay T. and Jolliffe, Ian T. (2007). DALASS: Variable selection in discriminant analysis via the LASSO. Computational Statistics and Data Analysis, 51(8) pp. 3718–3736.

Unkel, Steffen and Trendafilov, Nickolay T (2007). Noisy independent component analysis as a method of rotating the factor scores. In: Davies, Mike E; James, Christopher J; Abdallah, Samer A and Plumbley, Mark D eds. Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings. Lecture Notes in Computer Science (4666). Berlin: Springer, pp. 810–817.

Joliffe, I.T.; Learmouth, J.A.; Pierce, G.J.; Santos, M.B.; Trendafilov, N.; Zuur, A.F.; Ieno, E.N. and Smith, G.M. (2007). Principal component analysis applied to harbour porpoise fatty acid data. In: Zuur, Alain F.; Ieno, Elena N. and Smith, Graham M. eds. Analysing Ecological Data. Statistics for biology and health. New York: Springer, pp. 515–528.

2006To Top

Trendafilov, Nickolay T. (2006). The Dynamical System Approach to Multivariate Data Analysis. Journal of Computational and Graphical Statistics, 15(3) pp. 628–650.

Trendafilov, Nickolay T. and Jolliffe, Ian T. (2006). Projected gradient approach to the numerical solution of the SCoTLASS. Computational Statistics and Data Analysis, 50(1) pp. 242–253.

Hannachi, A.; Jolliffe, I. T.; Stephenson, D. B. and Trendafilov, N. (2006). In search of simple structures in climate: Simplifying EOFs. International Journal of Climatology, 26(1) pp. 7–28.

2005To Top

Jennrich, Robert I. and Trendafilov, Nickolay T. (2005). Independent component analysis as a rotation method: A very different solution to Thurstone's box problem. British Journal of Mathematical and Statistical Psychology, 58(2) pp. 199–208.

Trendafilov, Nickolay T. (2005). Fitting the factor analysis model in ℓ1 norm. British Journal of Mathematical and Statistical Psychology, 58(1) pp. 19–31.

Bartkowiak, Anna and Trendafilov, Nickolay (2005). Feature extraction by the SCoTLASS: an illustrative example. In: Klopotek, Mieczyslaw A; Wierzchen, Slawomir T. and Trojanowski, Krzysztof eds. Intelligent Information Processing and Web Mining. Advances in Intelligent and Soft Computing (31). Berlin: Springer, pp. 3–11.

2004To Top

Trendafilov, Nickolay (2004). Orthonormality-constrained INDSCAL with nonnegative saliences. In: Lagan'a, Antonio; Gavrilova, Marina L.; Kumer, Vipin; Mun, Youngsong; Kenneth Tan, C. J. and Gervasi, Osvaldo eds. Computational Science and Its Applications - ICCSA 2004. Lecture Notes in Computer Science (3044). Berlin, Germany: Springer, pp. 952–960.

2003To Top

Jolliffe, I.T.; Trendafilov, N.T. and Uddin, M. (2003). A modified principal component technique based on the LASSO. Journal of Computational and Graphical Statistics, 12(3) pp. 531–547.

Trendafilov, Nickolay T. (2003). Dynamical system approach to factor analysis parameter estimation. British Journal of Mathematical and Statistical Psychology, 56(1) pp. 27–46.

Trendafilov, Nickolay T. (2003). On the ℓ1 Procrustes problem. Future Generation Computer Systems, 19(7) pp. 1177–1186.

2002To Top

Trendafilov, Nickolay T. and Lippert, Ross A. (2002). The multimode Procrustes problem. Linear Algebra and its Applications, 349(1-3) pp. 245–264.

2001To Top

Chu, M.T. and Trendafilov, N.T. (2001). The orthogonally constrained regression revisited. Journal of Computational and Graphical Statistics, 10(4) pp. 746–771.

1999To Top

1998To Top

Trendafilov, Nickolay T. and Chu, Moody T. (1998). On a differential equation approach to the weighted orthogonal Procrustes problem. Statistics and Computing, 8(2) pp. 125–133.

1996To Top

Trendafilov, Nickolay (1996). Iterative majorizing rotation to orthogonal simple structure solution. Multivariate Behavioral Research, 31(3) pp. 271–287.

1994To Top

Export

Subscribe to these results

get details to embed this page in another page Embed as feed [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0