Eva Riccomagno
Eva Riccomagno
Dipartimento di Matematica, UniversitÓ di Genova
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Cited by
Cited by
Algebraic statistics: Computational commutative algebra in statistics
G Pistone, E Riccomagno, HP Wynn
CRC Press, 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 (1á…, 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
Algebraic and geometric methods in statistics
P Gibilisco
Cambridge University Press, 2010
Causal analysis with chain event graphs
P Thwaites, JQ Smith, E Riccomagno
Artificial Intelligence 174 (12-13), 889-909, 2010
Lattice-based D-optimum design for Fourier regression
E Riccomagno, R Schwabe, HP Wynn
The Annals of Statistics, 2313-2327, 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
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
A short history of algebraic statistics
E Riccomagno
Metrika 69, 397-418, 2009
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
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
GroĘ bner basis strategies in regression
B Giglio, E Riccomagno, HP Wynn
Journal of Applied Statistics 27 (7), 923-938, 2000
An algebraic computational approach to the identifiability of Fourier models
M Caboara, E Riccomagno
Journal of Symbolic Computation 26 (2), 245-260, 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
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
Computational commutative algebra in discrete statistics
G Pistone, E Riccomagno, HP Wynn
Eurandom, 2000
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
Discovery of statistical equivalence classes using computer algebra
C G÷rgen, A Bigatti, E Riccomagno, JQ Smith
International Journal of Approximate Reasoning 95, 167-184, 2018
The fan of an experimental design
M Caboara, G Pistone, E Riccomagno, HP Wynn
SCU Report 33, 1997
Algebraic geometry in experimental design and related fields.
EM Riccomagno
University of Warwick, 1997
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