Algebraic statistics: Computational commutative algebra in statistics G Pistone, E Riccomagno, HP Wynn Chapman and Hall/CRC, 2000 | 412 | 2000 |
Experimental design and observation for large systems RA Bates, RJ Buck, E Riccomagno, HP Wynn Journal of the Royal Statistical Society: Series B (Methodological) 58 (1 …, 1996 | 295 | 1996 |
Differential algebra methods for the study of the structural identifiability of rational function state-space models in the biosciences G Margaria, E Riccomagno, MJ Chappell, HP Wynn Mathematical biosciences 174 (1), 1-26, 2001 | 126 | 2001 |
Algebraic and geometric methods in statistics P Gibilisco Cambridge University Press, 2010 | 82 | 2010 |
Causal analysis with chain event graphs P Thwaites, JQ Smith, E Riccomagno Artificial Intelligence 174 (12-13), 889-909, 2010 | 77 | 2010 |
Lattice-based D-optimum design for Fourier regression E Riccomagno, R Schwabe, HP Wynn The Annals of Statistics, 2313-2327, 1997 | 73 | 1997 |
Nonlinear matroid optimization and experimental design Y Berstein, J Lee, H Maruri-Aguilar, S Onn, E Riccomagno, R Weismantel, ... SIAM Journal on Discrete Mathematics 22 (3), 901-919, 2008 | 38 | 2008 |
The application of computational algebraic geometry to the analysis of designed experiments: a case study T Holliday, G Pistone, E Riccomagno, HP Wynn Computational Statistics 14, 213-231, 1999 | 33 | 1999 |
A short history of algebraic statistics E Riccomagno Metrika 69 (2), 397-418, 2009 | 32 | 2009 |
Structural identifiability analysis of some highly structured families of statespace models using differential algebra G Margaria, E Riccomagno, LJ White Journal of mathematical biology 49, 433-454, 2004 | 30 | 2004 |
Lattices and dual lattices in optimal experimental design for Fourier models RA Bates, E Riccomagno, R Schwabe, HP Wynn Computational statistics & data analysis 28 (3), 283-296, 1998 | 30 | 1998 |
The R package stagedtrees for structural learning of stratified staged trees F Carli, M Leonelli, E Riccomagno, G Varando Journal of Statistical Software 102 (6), 1--30, 2022 | 29 | 2022 |
Gro¨ bner basis strategies in regression B Giglio, E Riccomagno, HP Wynn Journal of Applied Statistics 27 (7), 923-938, 2000 | 27 | 2000 |
An algebraic computational approach to the identifiability of Fourier models M Caboara, E Riccomagno Journal of Symbolic Computation 26 (2), 245-260, 1998 | 27 | 1998 |
Computational commutative algebra in discrete statistics G Pistone, E Riccomagno, HP Wynn Eurandom, 2000 | 25 | 2000 |
A topological study of repetitive co-activation networks in in vitro cortical assemblies V Pirino, E Riccomagno, S Martinoia, P Massobrio Physical biology 12 (1), 016007, 2015 | 23 | 2015 |
Discovery of statistical equivalence classes using computer algebra C Görgen, A Bigatti, E Riccomagno, JQ Smith International Journal of Approximate Reasoning 95, 167-184, 2018 | 22 | 2018 |
Performance indices for evaluation and comparison of unmanned marine vehicles' guidance systems E Saggini, E Zereik, M Bibuli, G Bruzzone, M Caccia, E Riccomagno IFAC Proceedings Volumes 47 (3), 12182-12187, 2014 | 21 | 2014 |
The fan of an experimental design M Caboara, G Pistone, E Riccomagno, HP Wynn Eurandom, 1999 | 19 | 1999 |
Algebraic geometry in experimental design and related fields. EM Riccomagno University of Warwick, 1997 | 18* | 1997 |