Stationary Strategies for Recursive Games. - Piercesare Secchi (Math. Oper. Res., 1997)

On the existence of good stationary strategies for nonleavable stochastic games. - Piercesare Secchi (Int. J. Game Theory, 1998)

Stay-in-a-set games. - Piercesare Secchi; William D. Sudderth (Int. J. Game Theory, 2002)

N-Person stochastic games with upper semi-continuous payoffs. - Piercesare Secchi; William D. Sudderth (Int. J. Game Theory, 2002)

A numerical study for comparing two response-adaptive designs for continuous treatment effects. - Anna Maria Paganoni; Piercesare Secchi (Stat. Methods Appl., 2007)

k-mean alignment for curve clustering. - Laura M. Sangalli; Piercesare Secchi; Simone Vantini; Valeria Vitelli (Comput. Stat. Data Anal., 2010)

Fuzzy C-Means Clustering of Signal Functional Principal Components for Post-Processing Dynamic Scenarios of a Nuclear Power Plant Digital Instrumentation and Control System. - Francesco Di Maio; Piercesare Secchi; Simone Vantini; Enrico Zio (IEEE Trans. Reliab., 2011)

Bagging Voronoi classifiers for clustering spatial functional data. - Piercesare Secchi; Simone Vantini; Valeria Vitelli (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Mixed Finite Elements for Spatial Regression with PDE Penalization. - Laura Azzimonti; Fabio Nobile; Laura M. Sangalli; Piercesare Secchi (SIAM/ASA J. Uncertain. Quantification, 2014)

Peak shape clustering reveals biological insights. - Marzia A. Cremona; Laura M. Sangalli; Simone Vantini; Gaetano Dellino; Pier Giuseppe Pelicci; Piercesare Secchi; Laura Riva (BMC Bioinform., 2015)

Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan. - Piercesare Secchi; Simone Vantini; Valeria Vitelli (Stat. Methods Appl., 2015)

Rejoinder to the discussion of "Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan". - Piercesare Secchi; Simone Vantini; Valeria Vitelli (Stat. Methods Appl., 2015)

Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis. - Piercesare Secchi; Simone Vantini; Paolo Zanini (Comput. Stat. Data Anal., 2016)

Kriging prediction for manifold-valued random fields. - Davide Pigoli; Alessandra Menafoglio; Piercesare Secchi (J. Multivar. Anal., 2016)

FunChIP: an R/Bioconductor package for functional classification of ChIP-seq shapes. - Alice C. L. Parodi; Laura M. Sangalli; Simone Vantini; Bruno Amati; Piercesare Secchi; Marco J. Morelli (Bioinform., 2017)

Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics. - Alessandra Menafoglio; Piercesare Secchi (Eur. J. Oper. Res., 2017)

Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data. - Alessandra Menafoglio; Marco Grasso; Piercesare Secchi; Bianca Maria Colosimo (Technometrics, 2018)

Association rule mining to identify transcription factor interactions in genomic regions. - Gaia Ceddia; Liuba Nausicaa Martino; Alice C. L. Parodi; Piercesare Secchi; Stefano Campaner; Marco Masseroli (Bioinform., 2020)

Kriging Riemannian Data via Random Domain Decompositions. - Alessandra Menafoglio; Davide Pigoli; Piercesare Secchi (J. Comput. Graph. Stat., 2021)

A general bi-clustering algorithm for object data with an application to the analysis of a Lombardy railway line. - Agostino Torti; Marta Galvani; Alessandra Menafoglio; Piercesare Secchi; Simone Vantini (Int. J. Approx. Reason., 2022)

Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing. - Riccardo Scimone; Tommaso Taormina; Bianca Maria Colosimo; Marco Grasso; Alessandra Menafoglio; Piercesare Secchi (Technometrics, 2022)