Papers

2019

L. Montrucchio, G. Pistone. A Class of Non-parametric Deformed Exponential Statistical Models. In F. Nielsen Ed. Geometric Structures of Information Springer 15-35. doi:10.1007/978-3-030-02520-5

E. Bibbona, M. Gasparini, G. Pistone. The Empirical Identity Process: asymptotics and applications. Canadian Journal of Statistics (in press) doi:10.1002/cjs.11478
L. Malagò, L. Montrucchio, G. Pistone. Wasserstein-Riemannian Geometry of Positive-definite Matrices. Information Geometry 1(2) 137-179. doi: 10.1007/s41884-018-0014-4
G. Pistone. Lagrangian Function on the Finite State Space Statistical Bundle Entropy 2018 20 139 doi: 10.3390/e20020139
G. Pistone. Information Geometry of the Gaussian Space in Ay, Nihat, Gibilisco, Paolo, Matús, Frantisek Eds Information Geometry and Its Applications 119-155. doi: 10.1007/978-3-319-97798-0. arXiv:1803.08135.
G. Vicario, G. Pistone. Simulated variogram-based error inspection of manufactured parts. Statistical Papers 59 1411-1423. doi:10.1007/s00362-018-1030-0

D. Brigo and G. Pistone. Dimensionality reduction for measure valued evolution equations in statistical manifolds. In: Frank Nielsen, Franck Critchley, Christofer T.J. Dodson Ed.s, Computational Information Geometry. SIGNALS AND COMMUNICATION TECHNOLOGY, 217-265, Springer 2017. arXiv:1601.04189 [math.PR].
R. Camerlo, G. Pistone, F. Rapallo. Modal operators and toric ideals. arXiv:1712.04191.
C. Fassino, G. Pistone, E. Riccomagno, M.P. Rogantin. Moments of the multivariate Gaussian complex random variable. arXiv:1708.09622
L. Montrucchio and G. Pistone. Deformed exponential bundle: the linear growth case. Geometric Science of Information. Nielsen, Frank, Barbaresco, Frédéric (Eds.). Springer pp. 239-246. Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings. arXiv:1709.01430
G. Pistone. Translations in the exponential Orlicz space with Gaussian weight. Geometric Science of Information. Nielsen, Frank, Barbaresco, Frédéric (Eds.). Springer pp. 569-576. Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings. arXiv:1708.09555

D. Brigo and G. Pistone. Maximum likelihood eigenfunctions of the Fokker Planck equation and Hellinger projection. arXiv:1603.04348.
G. Pistone, G. Vicario. A note on Semivariogram. In Topics on Methodological and Applied Statistical Inference (T. Di Battista, E. Moreno, W. Racugno Eds). Springer 2016, 181-190. Extended version on a paper presented at the SIS Conference 2014 in Cagliari. ArXiv.
G. Vicario, G. Craparotta, G. Pistone. Meta-models in computer experiments: kriging vs artificial neural networks Quality and Reliability Engineering International. (2016) 32 2055–2065.

B. Lods, G. Pistone. Information Geometry Formalism for the Spatially Homogeneous Boltzmann Equation. Entropy 2015, 17(6), 4323-4363; doi:10.3390/e17064323.
L. Malagò, G. Pistone. Gradient Flow of the Stochastic Relaxation on a Generic Exponential Family. In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014). No 1641 of AIP Conference Proceedings 2015 pp 353-360.
L. Malagò, G. Pistone. Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family. Entropy 2015, 17(6), 4215-4254; doi:10.3390/e17064215.
L. Malagò, G. Pistone. Second-order Optimization over the Multivariate Gaussian Distribution. In Geometric Science of Information F. Barbaresco and F. Nielsen ed.s, Springer LNCS 9389 2015, 349-358.
S. Ruffa, G. Vicario, and G. Pistone. Analysis of the Covariance Structure in Manufactured Parts. Communications in Statistics—Theory and Methods 2015, 44(21), 4540-4551.
L. Malagò, G. Pistone. Information Geometry of the Gaussian Distribution in View of Stochastic Optimization. In Proceedings of FOGA '15, held on January 17-20, 2015, Aberystwyth, Wales, 2015.
G. Pistone, M.-P. Rogantin. The gradient flow of the polarization measure. With an appendix. arXiv:1502.06718. Extended version on a paper presented at the SIS Conference 2014 in Cagliari. Under revision.

C. Fassino, G. Pistone, and E. Riccomagno The algebra of interpolatory cubature formulæ for generic nodes in Statistics and Computing July 2014, Volume 24, Issue 4, pp 615-632; preprint arXiv:1207.3143
L. Malagò, G. Pistone. Combinatorial Optimization with Information Geometry: Newton Method Entropy 2014, 16(8) pp 4260-4289.
L. Malagò, G. Pistone. " Optimization via Information Geometry." In Topics in Statistical Simulation. Research Papers from the 7th International Workshop on Statistical Simulation, V.B. Melas, Stefania Mignani, Paola Monari, Luigi Salmaso Editors Springer Proceedings in Mathematics & Statistics Volume 114, Springer 2014 pp 343-351 Text.

R. Fontana and G. Pistone Algebraic Generation of Orthogonal Fractional Factorial Designs in Advances in Theoretical and Applied Statistics (Torelli, Nicola; Pesarin, Fortunato; Bar-Hen, Avner Eds) Springer 2013 61-71
G. Pistone and M.-P. Rogantin The algebra of reversible Markov chains in AISM 2013 65(2) 269-293; preprint arXiv:1007.4283
G. Pistone Examples of Application of Nonparametric Information Geometry to Statistical Physics in Entropy 15(10), 4042-4065
G. Pistone and G. Vicario Kriging Prediction from a Circular Grid: Application to Wafer Diffusion ASMBI 2013 29(4) 350-361 ; preprint
L. Malagò, M. Matteucci, G. Pistone Natural gradient, fitness modelling and model selection: A unifying perspective IEEE Congress on Evolutionary Computation 2013 486-493
G. Pistone Nonparametric Information Geometry in Geometric Science of Information LNCS 8085 Springer 2013 5-36; preprint arXiv:1306.0480.

Last modified: (2018-11-30 10:30:49 CET)