RICCOMAGNO, EVA
RICCOMAGNO, EVA
100021 - Dipartimento di Matematica
A MODEL SELECTION ALGORITHM FOR MIXTURE EXPERIMENTS INCLUDING PROCESS VARIABLES
2007-01-01 MARURI AGUILAR, H; Riccomagno, Eva
A NOTE ON COMPUTATION ALGEBRA FOR DISCRETE STATISTICAL MODELS
2006-01-01 G., Pistone; Riccomagno, Eva; H. P., Wynn
Assessing path-following performance for Unmanned Marine Vehicles with algorithms from Numerical Commutative Algebra
2014-01-01 Saggin, E.; Torrente, M.; Riccomagno, Eva; Bibuli, M.; Bruzzone, G.; Caccia, M.; Zereik, Enrica
BM algorithms for noisy data and implicit regression modelling
2018-01-01 Fassino, Claudia; Hans Michael, Moeller; Riccomagno, Eva
COMPUTATIONAL ALGEBRAIC GEOMETRY IN INDUSTRIAL EXPERIMENTAL DESIGN
1997-01-01 Riccomagno, Eva; H. P., Wynn
Error evaluation for algebraic interpolatory cubature formulæ
2013-01-01 Fassino, Claudia; Riccomagno, Eva
Experimental Design Issues in Big Data: The Question of Bias
2019-01-01 Pesce, Elena; Riccomagno, Eva; Wynn, Henry P.
Grobner basis for industrial polynomial modelling
1998-01-01 Riccomagno, Eva
Grobner basis methods in mixture experiments and generalisations
2000-01-01 B., Giglio; Riccomagno, Eva; H. P., Wynn
GROEBNER BASIS METHODS IN POLYNOMIAL MODELLING
1998-01-01 R. A., Bates; B., Giglio; Riccomagno, Eva; H. P., Wynn
IDENTIFYING A CAUSE IN MODELS WHICH ARE NOT SIMPLE BAYESIAN NETWORKS
2004-01-01 Riccomagno, Eva; J. Q., Smith
Incorporating long-range dependence in the seismic process into probabilistic seismic hazard assessment
2017-01-01 Barani, Simone; Mascandola, Claudia; Riccomagno, Eva; Spallarossa, Daniele; Albarello, Dario; Ferretti, Gabriele; Scafidi, Davide; Augliera, Paolo; Massa, Marco
Long-Range Dependence in the Seismic Process and Implications for Earthquake Forecasting
2018-01-01 Barani, S.; Mascandola, C.; Riccomagno, E.; Spallarossa, D.; Albarello, D.; Ferretti, G.; Scafidi, D.; Massa, P. Augliera and M.
On error evaluation for interpolatory cubature formulae
2014-01-01 Fassino, Claudia; Riccomagno, Eva
Operational Effectiveness, Functions and Naval Tasks: a Multi - Dimensional Environment for the Definition of Naval Units
2015-01-01 Perra, F.; Gualeni, Paola; Paolucci, Massimo; Bracco, Fabrizio; Riccomagno, Eva; Lupi, F.; De Luca, M.; Guagnano, A.; Taddei, F; Santic, I.
ORTHOGONAL DESIGNS FOR MULTIDIMENSIONAL FOURIER REGRESSION MODELS
1999-01-01 Riccomagno, Eva
Performance analysis of an algorithm from computational algebra for implicit regression
2014-01-01 Fassino, Claudia; Riccomagno, Eva; Torrente, MARIA LAURA
Performance Indices for Evaluation and Comparison of Unmanned Marine Vehicles' Guidance Systems
2014-01-01 Riccomagno, Eva; Saggini, Eleonora; E., Zereik; M., Bibuli; G., Bruzzone; M., Caccia
POLYNOMIAL ENCODING OF DISCRETE PROBABILITY USING GROBNER BASES
1999-01-01 G., Pistone; Riccomagno, Eva; H. P., Wynn
Replications with Grobner Bases
2001-01-01 A. M., Cohen; A., DI BUCCHIANICO; Riccomagno, Eva
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A MODEL SELECTION ALGORITHM FOR MIXTURE EXPERIMENTS INCLUDING PROCESS VARIABLES | 1-gen-2007 | MARURI AGUILAR, H; Riccomagno, Eva | |
| A NOTE ON COMPUTATION ALGEBRA FOR DISCRETE STATISTICAL MODELS | 1-gen-2006 | G., Pistone; Riccomagno, Eva; H. P., Wynn | |
| Assessing path-following performance for Unmanned Marine Vehicles with algorithms from Numerical Commutative Algebra | 1-gen-2014 | Saggin, E.; Torrente, M.; Riccomagno, Eva; Bibuli, M.; Bruzzone, G.; Caccia, M.; Zereik, Enrica | |
| BM algorithms for noisy data and implicit regression modelling | 1-gen-2018 | Fassino, Claudia; Hans Michael, Moeller; Riccomagno, Eva | |
| COMPUTATIONAL ALGEBRAIC GEOMETRY IN INDUSTRIAL EXPERIMENTAL DESIGN | 1-gen-1997 | Riccomagno, Eva; H. P., Wynn | |
| Error evaluation for algebraic interpolatory cubature formulæ | 1-gen-2013 | Fassino, Claudia; Riccomagno, Eva | |
| Experimental Design Issues in Big Data: The Question of Bias | 1-gen-2019 | Pesce, Elena; Riccomagno, Eva; Wynn, Henry P. | |
| Grobner basis for industrial polynomial modelling | 1-gen-1998 | Riccomagno, Eva | |
| Grobner basis methods in mixture experiments and generalisations | 1-gen-2000 | B., Giglio; Riccomagno, Eva; H. P., Wynn | |
| GROEBNER BASIS METHODS IN POLYNOMIAL MODELLING | 1-gen-1998 | R. A., Bates; B., Giglio; Riccomagno, Eva; H. P., Wynn | |
| IDENTIFYING A CAUSE IN MODELS WHICH ARE NOT SIMPLE BAYESIAN NETWORKS | 1-gen-2004 | Riccomagno, Eva; J. Q., Smith | |
| Incorporating long-range dependence in the seismic process into probabilistic seismic hazard assessment | 1-gen-2017 | Barani, Simone; Mascandola, Claudia; Riccomagno, Eva; Spallarossa, Daniele; Albarello, Dario; Ferretti, Gabriele; Scafidi, Davide; Augliera, Paolo; Massa, Marco | |
| Long-Range Dependence in the Seismic Process and Implications for Earthquake Forecasting | 1-gen-2018 | Barani, S.; Mascandola, C.; Riccomagno, E.; Spallarossa, D.; Albarello, D.; Ferretti, G.; Scafidi, D.; Massa, P. Augliera and M. | |
| On error evaluation for interpolatory cubature formulae | 1-gen-2014 | Fassino, Claudia; Riccomagno, Eva | |
| Operational Effectiveness, Functions and Naval Tasks: a Multi - Dimensional Environment for the Definition of Naval Units | 1-gen-2015 | Perra, F.; Gualeni, Paola; Paolucci, Massimo; Bracco, Fabrizio; Riccomagno, Eva; Lupi, F.; De Luca, M.; Guagnano, A.; Taddei, F; Santic, I. | |
| ORTHOGONAL DESIGNS FOR MULTIDIMENSIONAL FOURIER REGRESSION MODELS | 1-gen-1999 | Riccomagno, Eva | |
| Performance analysis of an algorithm from computational algebra for implicit regression | 1-gen-2014 | Fassino, Claudia; Riccomagno, Eva; Torrente, MARIA LAURA | |
| Performance Indices for Evaluation and Comparison of Unmanned Marine Vehicles' Guidance Systems | 1-gen-2014 | Riccomagno, Eva; Saggini, Eleonora; E., Zereik; M., Bibuli; G., Bruzzone; M., Caccia | |
| POLYNOMIAL ENCODING OF DISCRETE PROBABILITY USING GROBNER BASES | 1-gen-1999 | G., Pistone; Riccomagno, Eva; H. P., Wynn | |
| Replications with Grobner Bases | 1-gen-2001 | A. M., Cohen; A., DI BUCCHIANICO; Riccomagno, Eva |