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| | Issue Date | Title | Author(s) |
| 1 | Apr-2020 | lmSubsets: Exact Variable-Subset Selection in Linear Regression for R | Hofmann, Marc ; Gatu, Cristian ; Kontoghiorghes, Erricos John ; Colubi, Ana ; Zeileis, Achim |
| 2 | 1-Oct-2017 | A Generalized Singular Value Decomposition Strategy for Estimating the Block Recursive Simultaneous Equations Model | Cosbuc, Mircea I. ; Gatu, Cristian ; Colubi, Ana ; Kontoghiorghes, Erricos John |
| 3 | 2-Apr-2016 | Special issue on computational statistics | Colubi, Ana ; Kontoghiorghes, Erricos John ; Gatu, Cristian |
| 4 | 2013 | A fast algorithm for non-negativity model selection | Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 5 | 2010 | An exact least trimmed squares algorithm for a range of coverage values | Hofmann, Marc H. ; Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 6 | 2008 | An efficient branch-and-bound strategy for subset vector autoregressive model selection | Gatu, Cristian ; Gilli, Manfred H. ; Kontoghiorghes, Erricos John |
| 7 | 15-Oct-2007 | A graph approach to generate all possible regression submodels | Gatu, Cristian ; Yanev, Petko I. ; Kontoghiorghes, Erricos John |
| 8 | 15-Sep-2007 | Efficient algorithms for computing the best subset regression models for large-scale problems | Hofmann, Marc H. ; Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 9 | May-2006 | Estimating all possible sur models with permuted exogenous data matrices derived from a var process | Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 10 | Mar-2006 | Branch-and-bound algorithms for computing the best-subset regression models | Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 11 | 2006 | Optimisation, Econometric and Financial Analysis. Advances in Computational Management Science | |
| 12 | Nov-2005 | Efficient strategies for deriving the subset var models | Gatu, Cristian ; Kontoghiorghes, Erricos John |
| 13 | Apr-2003 | Parallel algorithms for computing all possible subset regression models using the qr decomposition | Gatu, Cristian ; Kontoghiorghes, Erricos John |
