Erlis Ruli
Erlis Ruli
Email verificata su stat.unipd.it
Titolo
Citata da
Citata da
Anno
Approximate Bayesian computation with composite score functions
E Ruli, N Sartori, L Ventura
Statistics and Computing 26 (3), 679-692, 2016
252016
Improved Laplace Approximation for Marginal Likelihoods
E Ruli, N Sartori, L Ventura
Electronic Journal of Statistics 10 (2), 3986-4009, 2016
152016
Approximate Bayesian computation by modelling summary statistics in a quasi-likelihood framework
S Cabras, MEC Nueda, E Ruli
Bayesian Analysis 10 (2), 411-439, 2015
152015
Marginal posterior simulation via higher-order tail area approximations
E Ruli, N Sartori, L Ventura
Bayesian Analysis 9 (1), 129-146, 2014
122014
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
102020
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
102018
Objective Bayesian inference with proper scoring rules
F Giummolè, V Mameli, E Ruli, L Ventura
Test, 2018
102018
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
92016
A Quasi likelihood approximation of posterior distributions for likelihood-intractable complex models
S Cabras, ME Castellanos, E Ruli
Metron 72 (2), 153-167, 2014
72014
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
52013
Robust approximate Bayesian inference
E Ruli, N Sartori, L Ventura
Journal of Statistical Planning and Inference 205, 10-22, 2020
42020
Robust approximate Bayesian inference with an application to linear mixed models
E Ruli, N Sartori, L Ventura
arXiv preprint arXiv:1706.01752, 2017
42017
Optimal B-robust posterior distributions for operational risk
IL Danesi, F Piacenza, E Ruli, L Ventura
Journal of Operational Risk, 2016
42016
Approximate Bayesian computation with proper scoring rules
E Ruli, N Sartori, L Ventura
Proceedings of the 47th Scientific Meeting of the Italian Scientific Society, 2014
42014
Higher-order Bayesian approximations for pseudo-posterior distributions
E Ruli, L Ventura
Communications in Statistics-Simulation and Computation 45 (8), 2863-2873, 2016
32016
Can Bayesian, confidence distribution and frequentist inference agree?
E Ruli, L Ventura
Statistical Methods & Applications 30 (1), 359-373, 2021
12021
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), 1-10, 2020
12020
Modern Bayesian Inference in Zero-Inflated Poisson Models
E Ruli, L Ventura
46th Scientific Meeting of the Italian Statistical Society 2012, 2012
12012
Accurate likelihood inference for the volume under the ROC surface
E Ruli, L Ventura
Cancer Reports 3 (4), e1206, 2020
2020
Robust Composite Inference
V Mameli, M Musio, E Ruli, L Ventura
SIS 2020, 1332-1337, 2020
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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