Cristiano Villa
Cristiano Villa
Senior Lecturer in Statistics, Newcastle University
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Cited by
Cited by
Objective prior for the number of degrees of freedom of at distribution
C Villa, SG Walker
Bayesian Analysis 9 (1), 197-220, 2014
An objective approach to prior mass functions for discrete parameter spaces
C Villa, SG Walker
Journal of the American Statistical Association 110 (511), 1072-1082, 2015
An objective Bayesian criterion to determine model prior probabilities
C Villa, S Walker
Scandinavian Journal of Statistics 42 (4), 947-966, 2015
On the mathematics of the Jeffreys–Lindley paradox
C Villa, S Walker
Communications in Statistics-Theory and Methods 46 (24), 12290-12298, 2017
A note on the posterior inference for the Yule–Simon distribution
F Leisen, L Rossini, C Villa
Journal of statistical computation and simulation 87 (6), 1179-1188, 2017
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula
C Villa, FJ Rubio
Computational Statistics & Data Analysis 124, 197-219, 2018
Objective bayesian analysis of the Yule–Simon distribution with applications
F Leisen, L Rossini, C Villa
Computational Statistics 33 (1), 99-126, 2018
A cautionary note on the discrete uniform prior for the binomial N: comment
C Villa, SG Walker
Ecology 95 (9), 2674-2677, 2014
Objective Bayesian modelling of insurance risks with the skewed Student‐t distribution
F Leisen, JM Marin, C Villa
Applied Stochastic Models in Business and Industry 33 (2), 136-151, 2017
Model prior distribution for variable selection in linear regression models
C Villa, JE Lee
arXiv preprint arXiv:1512.08077, 2015
On a loss-based prior for the number of components in mixture models
C Grazian, C Villa, B Liseo
Statistics & Probability Letters 158, 108656, 2020
Bayesian loss-based approach to change point analysis
LC Hinoveanu, F Leisen, C Villa
Computational Statistics & Data Analysis 129, 61-78, 2019
On a global objective prior from score rules
F Leisen, C Villa, SG Walker
arXiv preprint arXiv:1706.00599, 2017
A Property of the Kullback--Leibler Divergence for Location-scale Models
C Villa
arXiv preprint arXiv:1604.01983, 2016
A cautionary note on using the scale prior for the parameter n of a binomial distribution
C Villa
Ecology 95 (9), 2674-2677, 2014
Loss-based approach to two-piece location-scale distributions with applications to dependent data
F Leisen, L Rossini, C Villa
Statistical Methods & Applications 29 (2), 309-333, 2020
Predicting Cycling Usage for Improving Bike-Sharing Systems
G Manzi, S Salini, C Villa
Data Science & Social Research 2019 Book of Abstracts, 80, 2019
A loss-based prior for variable selection in linear regression methods
C Villa, JE Lee
Bayesian Analysis, 2018
Bayesian estimation of the threshold of a generalised pareto distribution for heavy-tailed observations
C Villa
Test 26 (1), 95-118, 2017
Bayesian Models Applied to Cyber Security Anomaly Detection Problems
JA Perusquía, JE Griffin, C Villa
arXiv preprint arXiv:2003.10360, 2020
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