M
Michela Cameletti
Researcher at University of Bergamo
Publications - 73
Citations - 2301
Michela Cameletti is an academic researcher from University of Bergamo. The author has contributed to research in topics: Medicine & Air quality index. The author has an hindex of 16, co-authored 66 publications receiving 1622 citations. Previous affiliations of Michela Cameletti include University of Milano-Bicocca & National Institute of Statistics.
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BookDOI
Spatial and Spatio-temporal Bayesian Models with R - INLA
TL;DR: In this article, the authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems.
Journal ArticleDOI
Spatial and spatio-temporal models with R-INLA
TL;DR: The Integrated Nested Laplace Approximation approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method.
Journal ArticleDOI
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
TL;DR: This work considers a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte and proposes a strategy to represent a GF with Matérn covariance function as a Gaussian Markov Random Field (GMRF) through the SPDE approach.
Journal ArticleDOI
Comparing spatio‐temporal models for particulate matter in Piemonte
TL;DR: In this article, the authors compared six alter-native models for PM10 concentration in Piemonte region (northwestern Po Valley), during the winter season October 2005-March 2006, and proposed a comparison approach based on a set of criteria summarized in a table that can be easily communicated to non-statisticians.
Journal ArticleDOI
Impact of SARS-CoV-2 Pandemic on Colorectal Cancer Screening Delay: Effect on Stage Shift and Increased Mortality.
Luigi Ricciardiello,Clarissa Ferrari,Michela Cameletti,Federica Gaianill,Francesco Buttitta,Franco Bazzoli,Gian Luigi de’Angelis,A. Malesci,Luigi Laghi +8 more
TL;DR: The data highlight the need to reorganize efforts against high-impact diseases such as CRC, considering possible future waves of SARS-CoV-2 or other pandemics, and also mortality if lasting beyond 12 months.