Oswaldo Gressani
oswaldogressani.bsky.social
Oswaldo Gressani
@oswaldogressani.bsky.social
Postdoc at Hasselt University
✨ New article published in Statistics and Computing. Discover how the Laplacian-P-splines methodology provides a flexible framework in Distributed lag non-linear models (DLNMs). doi.org/10.1007/s112...
Penalized distributed lag non-linear models for small area data using Laplacian-P-splines - Statistics and Computing
Distributed lag non-linear models (DLNMs) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced data, these models mus...
doi.org
December 8, 2025 at 4:33 PM
👉 This paper proposes a flexible spatio-temporal modeling framework for analysis of areal data with spatially correlated Gaussian processes. doi.org/10.48550/arX...
A Time-Series Model for Areal Data Using Spatially Correlated Gaussian Processes
Traditional spatio-temporal models for areal data typically begin with spatial structure imposed at the level of random effects and later extend to include temporal dynamics. We propose an alternative...
doi.org
September 16, 2025 at 9:50 AM
Working with symptom onset data without imposing parametric assumptions. This new inferential method leverages uniform mixtures and the bootstrap to estimate serial interval features in a nonparametric way. doi.org/10.1371/jour...
Nonparametric serial interval estimation with uniform mixtures
Author summary Epidemiological delay distributions play a key role in outbreak analyses and in modeling infectious diseases. The serial interval is the time from illness onset in a primary case to ill...
doi.org
August 7, 2025 at 6:41 AM