Research output per year
Research output per year
Personal profile
Research Interests
My main research interests concern theory, methodology and applications in multivariate spatio-temporal statistics.
Specifically my research topics are the study of flexible covariance models, the study of likelihood approximation for the estimation of large spatio-temporal data and the study of flexible non Gaussian models for spatio-temporal data analysis.
Key Words
Spatial Data, Covariance Models, Likelihood Approximations, Non-Gaussian random fields.
Profession
Degree in Statistics, University of Padova 2001
Education/Academic qualification
PhD, Universitá Degli Studi di Padova
Award Date: 11 Apr 2008
Fingerprint
Dive into the research topics where Moreno Bevilacqua is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Convergence arguments to bridge cauchy and matérn covariance functions
Faouzi, T., Porcu, E., Kondrashuk, I. & Bevilacqua, M., 2023, (Accepted/In press) In: Statistical Papers.Research output: Contribution to journal › Article › peer-review
-
A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers
Bevilacqua, M., Caamaño-Carrillo, C., Arellano-Valle, R. B. & Gómez, C., Sep 2022, In: Test. 31, 3, p. 644-674 31 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A selective view of climatological data and likelihood estimation
Blasi, F., Caamaño-Carrillo, C., Bevilacqua, M. & Furrer, R., Aug 2022, In: Spatial Statistics. 50, 100596.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Asymptotically equivalent prediction in multivariate geostatistics
Bachoc, F., Porcu, E., Bevilacqua, M., Furrer, R. & Faouzi, T., Nov 2022, In: Bernoulli. 28, 4, p. 2518-2545 28 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach
Morales-Navarrete, D., Bevilacqua, M., Caamaño-Carrillo, C. & Castro, L. M., 2022, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
1 Scopus citations