Objective Bayesian inference with proper scoring rules F Giummolè, V Mameli, E Ruli, L Ventura Test, 2018 | 34 | 2018 |
Approximate Bayesian computation with composite score functions E Ruli, N Sartori, L Ventura Statistics and Computing 26 (3), 679-692, 2016 | 33 | 2016 |
Improved Laplace Approximation for Marginal Likelihoods E Ruli, N Sartori, L Ventura Electronic Journal of Statistics 10 (2), 3986-4009, 2016 | 26 | 2016 |
Approximate Bayesian computation by modelling summary statistics in a quasi-likelihood framework S Cabras, ME Castellanos Nueda, E Ruli | 19 | 2015 |
Marginal posterior simulation via higher-order tail area approximations E Ruli, N Sartori, L Ventura | 17 | 2014 |
Robust inference for non‐linear regression models from the Tsallis score: Application to coronavirus disease 2019 contagion in Italy P Girardi, L Greco, V Mameli, M Musio, W Racugno, E Ruli, L Ventura Stat 9 (1), e309, 2020 | 16 | 2020 |
Dynamic psychophysiological correlates of a learning from text episode in relation to reading goals S Scrimin, E Patron, E Ruli, CEK Pagui, G Altoè, L Mason Learning and Instruction 54, 1-10, 2018 | 16 | 2018 |
Grp94 in complexes with IgG is a soluble diagnostic marker of gastrointestinal tumors and displays immune-stimulating activity on peripheral blood immune cells PF Elisa Tramentozzi, Erlis Ruli, Imerio Angriman, Romeo Bardini, Michela ... Oncotarget, 2016 | 16 | 2016 |
SERRS multiplexing with multivalent nanostructures for the identification and enumeration of epithelial and mesenchymal cells L Litti, A Colusso, M Pinto, E Ruli, A Scarsi, L Ventura, G Toffoli, ... Scientific Reports 10 (1), 15805, 2020 | 13 | 2020 |
Robust approximate Bayesian inference E Ruli, N Sartori, L Ventura Journal of Statistical Planning and Inference 205, 10-22, 2020 | 11 | 2020 |
A Quasi likelihood approximation of posterior distributions for likelihood-intractable complex models S Cabras, ME Castellanos, E Ruli Metron 72, 153-167, 2014 | 8 | 2014 |
Can Bayesian, confidence distribution and frequentist inference agree? E Ruli, L Ventura Statistical Methods & Applications 30 (1), 359-373, 2021 | 7 | 2021 |
Optimal B-robust posterior distributions for operational risk IL Danesi, F Piacenza, E Ruli, L Ventura Journal of Operational Risk, 2016 | 7 | 2016 |
Robust inference from robust Tsallis score: application to COVID-19 contagion in Italy P Girardi, L Greco, V Mameli, M Musio, W Racugno, E Ruli, L Ventura Stat, 2020 | 6 | 2020 |
Higher-order Bayesian approximations for pseudo-posterior distributions E Ruli, L Ventura Communications in Statistics-Simulation and Computation 45 (8), 2863-2873, 2016 | 6 | 2016 |
A note on approximate Bayesian credible sets based on modified loglikelihood ratios L Ventura, E Ruli, W Racugno Statistics & Probability Letters 83 (11), 2467-2472, 2013 | 5 | 2013 |
Robust confidence distributions from proper scoring rules E Ruli, L Ventura, M Musio Statistics 56 (2), 455-478, 2022 | 3 | 2022 |
Robust approximate Bayesian inference with an application to linear mixed models E Ruli, N Sartori, L Ventura arXiv preprint arXiv:1706.01752, 2017 | 3 | 2017 |
Approximate Bayesian computation with proper scoring rules E Ruli, N Sartori, L Ventura Proceedings of the 47th SIS Scientific Meeting of the Italian Statistica …, 2014 | 3 | 2014 |
Dipartimento di Scienze Statistiche E Ruli | 2 | |