Objective Prior for the Number of Degrees of Freedom of a t Distribution C Villa, SG Walker | 50 | 2014 |
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 | 29 | 2018 |
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 | 27 | 2015 |
An objective Bayesian criterion to determine model prior probabilities C Villa, S Walker Scandinavian Journal of Statistics 42 (4), 947-966, 2015 | 25 | 2015 |
On the mathematics of the Jeffreys–Lindley paradox C Villa, S Walker Communications in Statistics-Theory and Methods 46 (24), 12290-12298, 2017 | 19 | 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 | 15 | 2017 |
Bayesian estimation of the threshold of a generalised pareto distribution for heavy-tailed observations C Villa Test 26 (1), 95-118, 2017 | 14 | 2017 |
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 | 12 | 2020 |
On a class of objective priors from scoring rules (with discussion) F Leisen, C Villa, SG Walker Bayesian Analysis 15 (4), 1345-1423, 2020 | 11 | 2020 |
A cautionary note on the discrete uniform prior for the binomial N: comment C Villa, SG Walker Ecology 95 (9), 2674-2677, 2014 | 9 | 2014 |
Bayesian models applied to cyber security anomaly detection problems JA Perusquía, JE Griffin, C Villa International Statistical Review 90 (1), 78-99, 2022 | 8 | 2022 |
A loss-based prior for variable selection in linear regression methods C Villa, JE Lee | 7 | 2020 |
An objective Bayes factor with improper priors C Villa, SG Walker Computational Statistics & Data Analysis 168, 107404, 2022 | 6 | 2022 |
Objective bayesian analysis of the Yule–Simon distribution with applications F Leisen, L Rossini, C Villa Computational Statistics 33, 99-126, 2018 | 6 | 2018 |
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 | 6 | 2017 |
An objective prior from a scoring rule SG Walker, C Villa Entropy 23 (7), 833, 2021 | 5 | 2021 |
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 | 5 | 2020 |
Bayesian loss-based approach to change point analysis LC Hinoveanu, F Leisen, C Villa Computational statistics & data analysis 129, 61-78, 2019 | 4 | 2019 |
A Property of the Kullback--Leibler Divergence for Location-scale Models C Villa arXiv preprint arXiv:1604.01983, 2016 | 4 | 2016 |
A loss‐based prior for Gaussian graphical models LC Hinoveanu, F Leisen, C Villa Australian & New Zealand Journal of Statistics 62 (4), 444-466, 2020 | 3 | 2020 |