Publications

(2023) Designing to detect heteroscedasticity in a regression model

A. Lanteri, S. Leorato, J. Lopez-Fidalgo, C. Tommasi.  Journal of the Royal Statistical Society: Series B

(2023) Approximating the First Passage Time Density of a Diffusion Process with State-Dependent Jumps

G. D'Onofrio, A. Lanteri. Fractal and Fractional

(2022) Conditional regression for single-index models

A. Lanteri, M. Maggioni, S. Vigogna. Bernoulli

(2021) KL-Optimum designs to discriminate models with different variance function.

A. Lanteri, S. Leorato, C. Tommasi. SIS 2021 Book of short papers

(2021) Estimating multi-index models with response-conditional least squares

T. Klock, A. Lanteri, S. Vigogna. Electronic Journal of Statistics  

(2019) A biased Kaczmarz algorithm for clustered equations 

A. Lanteri, M. Maggioni, S. Vigogna. New Statistical Developments in Data Science, Springer 

(2017) A Multiscale Approach to Manifold Estimation

A. Lanteri, M. Maggioni. SIS 2017. Statistics and Data Science: new challenges, new generations 

(2016) Novel Methods for Intrinsic Dimension Estimation and Manifold Learning 

A. Lanteri, Supervisor: P. Brutti. PhD Thesis Università La Sapienza

(2016) Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing 

A. Profico, A. Veneziano, A. Lanteri, P. Piras, G. Sansalone, G. Manzi.. Methods in Ecology and Evolution 

(2016) Does the ESHRE/ESGE Classification of Mullerian Anomalies Correlate with the Occurrence Of Pregnancy? A Comparison between Two Definitions of Myometrial Thickness

F. Padula, M. Giorlandino, S. Capriglione, M.C. Teodoro, A. Lippa, S.E. Minutolo, A. Lena, A. Lanteri, P. Brutti, L. D’Emidio, L. Mangiafico, P. Cignini, C. Giorlandino. Acta Medica International 

(2014) Smoothing procedures in Geometric Morphometrics: a critical assessment 

A. Profico, A. Veneziano, A. Lanteri, G. Manzi. Proceedings in European Society for the study of Human Evolution 

(2014) Bayesian Inference for the Intrinsic Dimension

P. Brutti, A. Lanteri, C. Ricciuti. Proceedings in 47th SIS Scientific Meeting of the Italian Statistical Society

In preparation or under review

Multiscale Analysis for Subspace Clustering 

A. Lanteri, M. Maggioni , S. Vigogna

A Hierarchical Non Parametric Approach to Functional Regression

A. Lanteri, R. Argiento, S. Montagna,  J. Hopker