B. Scarpa

发表

Fitting age‐specific fertility rates by a flexible generalized skew normal probability density function

S. Mazzuco, B. Scarpa, 2015 .

Invariance-based estimating equations for skew-symmetric distributions

M. Genton, A. Azzalini, B. Scarpa, 2010 .

Probabilistic and Statistical Models for Conception

B. Scarpa, 2010 .

Enriched Stick-Breaking Processes for Functional Data

Bruno Scarpa, David B Dunson, D. Dunson, 2014, Journal of the American Statistical Association.

Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes

B. Scarpa, Daniele Durante, Emanuele Aliverti, 2020, Developments in Demographic Forecasting.

Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors

Bruno Scarpa, David B Dunson, D. Dunson, 2009, Biometrics.

CICLO XXVIII NONPARAMETRIC MODELS FOR DEPENDENT FUNCTIONAL DATA

M. Vannucci, B. Scarpa, A. Canale, 2016 .

Customer base segmentation of a telecommunication company by using Bayesian semi-parametric analysis of traffic data

B. Scarpa, 2010 .

Bayesian non parametric modelling of Higgs pair production

T. Dorigo, B. Scarpa, 2017 .

A composite likelihood approach to predict the sex of the baby

N. Sartori, B. Scarpa, Simone Tiberi, 2018, Statistical methods in medical research.

Bayesian selection of predictors of conception probabilities across the menstrual cycle.

D. Dunson, B. Scarpa, 2006, Paediatric and perinatal epidemiology.

Cervical mucus secretions on the day of intercourse: an accurate marker of highly fertile days.

D. Dunson, B. Colombo, B. Scarpa, 2006, European journal of obstetrics, gynecology, and reproductive biology.

Over ten years overall survival in glioblastoma: A different disease?

B. Scarpa, S. Rossi, A. Feletti, 2019, Journal of the Neurological Sciences.

A mortality model based on a mixture distribution function

S. Mazzuco, B. Scarpa, L. Zanotto, 2018, Population studies.

Probabilistic and Inferential Aspects of Skew-Symmetric Models Special Issue : “ IV International Workshop in honour of Adelchi Azzalini ’ s 60 th Birthday ” A wrapped flexible generalized skew-normal model for a bimodal circular distribution of wind directions

B. Scarpa, Estefańıa Hernández-Sánchez, 2012 .

Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus.

D. Dunson, B. Scarpa, E. Giacchi, 2007, Fertility and sterility.

Non-parametric Bayesian modeling of cervicalmucus symptom

B. Scarpa, R. D. Bin, 2014 .

Bayesian nonparametric location–scale–shape mixtures

B. Scarpa, A. Canale, 2015, TEST.

Analysis of association football playing styles: An innovative method to cluster networks

Bruno Scarpa, Jacopo Diquigiovanni, B. Scarpa, 2018, Statistical Modelling.

Bayesian modelling of networks in complex business intelligence problems

Daniele Durante, David B. Dunson, Sally Paganin, 2015, 1510.00646.

Locally adaptive factor processes for multivariate time series

Daniele Durante, David B. Dunson, Bruno Scarpa, 2012, J. Mach. Learn. Res..

Locally Adaptive Bayesian Multivariate Time Series

Daniele Durante, David B. Dunson, Bruno Scarpa, 2013, NIPS.

Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider pdf

Christophe Delaere, Andrea Giammanco, Pietro Vischia, 2021, ArXiv.

Advances in multi-variate analysis methods for new physics searches at the Large Hadron Collider

Christophe Delaere, Andrea Giammanco, Pietro Vischia, 2021, Reviews in Physics.

Age-specific probability of childbirth. Smoothing via bayesian nonparametric mixture of rounded kernels

B. Scarpa, A. Canale, 2015 .

Bayesian nonparametric location–scale–shape mixtures

Antonio Canale, Bruno Scarpa, B. Scarpa, 2013, 1311.7582.

RanBox: anomaly detection in the copula space

T. Dorigo, B. Scarpa, G. Strong, 2021, Journal of High Energy Physics.

Dynamic modelling of mortality via mixtures of skewed distribution functions

Bruno Scarpa, Stefano Mazzuco, Emanuele Aliverti, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Locally adaptive Bayesian covariance regression

Daniele Durante, David B. Dunson, Bruno Scarpa, 2012 .

PLS for classification

Bruno Scarpa, Matteo Stocchero, Martino De Nardi, 2021 .

Bayesian inference on group differences in multivariate categorical data

Daniele Durante, Massimiliano Russo, Bruno Scarpa, 2016, Comput. Stat. Data Anal..

Cervical mucus symptom and daily fecundability: first results from a new database

Bruno Scarpa, Katia Passarin, Bernardo Colombo, 2006, Statistical methods in medical research.

Data Analysis and Data Mining: An Introduction

Bruno Scarpa, Adelchi Azzalini, A. Azzalini, 2012 .

Multivariate measures of skewness for the skew-normal distribution

N. Balakrishnan, Bruno Scarpa, B. Scarpa, 2009, J. Multivar. Anal..

Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy

Bruno Scarpa, David B Dunson, D. Dunson, 2007, Statistics in medicine.

Bayesian Inference on Predictors of Sex of the Baby

B. Scarpa, 2016, Front. Public Health.

Sequential predictions of menstrual cycle lengths.

Bruno Scarpa, Guido Masarotto, Paola Bortot, 2010, Biostatistics.

A flexible two-piece normal dynamic linear model

R. Arellano-Valle, B. Scarpa, F. Kahrari, 2023, Computational statistics (Zeitschrift).

Non parametric space-time modeling of SO2 in presence of many missing data

Bruno Scarpa, B. Scarpa, 2005, Stat. Methods Appl..

Omitting continuous covariates in binary regression models: implications for sensitivity and mediation analysis

B. Scarpa, E. Stanghellini, Matteo Gasparin, 2023, 2306.09969.

Enriched Pitman-Yor processes

Sonia Petrone, B. Scarpa, T. Rigon, 2020, 2003.12200.