Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Lucia Paci"'
Publikováno v:
Journal of Computational and Graphical Statistics. :1-21
Within the framework of Gaussian graphical models, a prior distribution for the underlying graph is introduced to induce a block structure in the adjacency matrix of the graph and learning relationships between fixed groups of variables. A novel samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55789c39c2c8f4363599c2de28fab02e
https://doi.org/10.1080/10618600.2023.2210184
https://doi.org/10.1080/10618600.2023.2210184
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 183:169-192
Summary Hedonic models are widely used to predict selling prices of properties. Originally, they were proposed as simple spatial regressions, i.e. a spatially referenced response regressed on spatially referenced predictors. Subsequently, spatial ran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f98a2bfd75240be595c28b0bd03a030
https://doi.org/10.1111/rssa.12489
https://doi.org/10.1111/rssa.12489
Autor:
Laura Codazzi, Alessandro Colombi, Matteo Gianella, Raffaele Argiento, Lucia Paci, Alessia Pini
Publikováno v:
Computational Statistics and Data Analysis (2022)
Motivated by the analysis of spectrometric data, a Gaussian graphical model for learning the dependence structure among frequency bands of the infrared absorbance spectrum is introduced. The spectra are modeled as continuous functional data through a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::086bc48a69aa76c6c457cd7e27817674
Autor:
Guido Consonni, Lucia Paci
An objective Bayes approach based on graphical modeling is proposed to learn the contemporaneous dependencies among multiple time series within the framework of Vector Autoregressive (VAR) models. Assuming that, at any time, the covariance matrix is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bf1a2a8d6ee528165ce9ac2aef2b4a6
http://hdl.handle.net/10807/146682
http://hdl.handle.net/10807/146682
Twenty-eight early-career researchers in statistics, with the support of seven international professors, were given 48 hours to propose methods for state-of-the-art data analysis in neuroscience. Antonio Canale, Daniele Durante, Lucia Paci and Bruno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5999fc1b65653e86ed63d8b0198b76c7
http://hdl.handle.net/11565/4006088
http://hdl.handle.net/11565/4006088
Publikováno v:
Spatial Statistics. 21:149-165
Customarily, for housing markets, interest focuses on selling prices of properties at locations and times. Hedonic models are employed using property-level, neighborhood-level, and economic regressors. However, in hedonic modeling the fact that the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21213275f5d40d410571954a45a34dff
https://doi.org/10.1016/j.spasta.2017.06.007
https://doi.org/10.1016/j.spasta.2017.06.007
Autor:
Francesco Finazzi, Lucia Paci
Publikováno v:
Statistical Modelling. :1471082X1787033
SAGE Publishing regrets that due to an administrative error, this article was accidentally published Online First and in Volume 20 Issue 6 with different DOIs. There was no duplication of the article in the printed and online version of Volume 20 Iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f66aaf854e7e4cf1425f1417e7f915
https://doi.org/10.1177/1471082x17870331
https://doi.org/10.1177/1471082x17870331
Autor:
Lucia Paci, Francesco Finazzi
Publikováno v:
BiometricsREFERENCES. 75(4)
Personal exposure assessment is a challenging task that requires both measurements of the state of the environment as well as the individual's movements. In this paper, we show how location data collected by smartphone applications can be exploited t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::376992cb36003a9fe7a4dd4131d8772d
https://pubmed.ncbi.nlm.nih.gov/31180147
https://pubmed.ncbi.nlm.nih.gov/31180147
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783319557076
The paper proposes a Bayesian hierarchical model to scale down and adjusts deterministic weather model output of temperature and precipitation with meteorological observations, extending the existing literature along different direc-tions. These non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecb39fdfed06d75592bd6743de40388d
https://doi.org/10.1007/978-3-319-55708-3_12
https://doi.org/10.1007/978-3-319-55708-3_12
Autor:
Francesco Finazzi, Lucia Paci
In many research fields, scientific questions are investigated by analyzing data collected over space and time, usually at fixed spatial locations and time steps and resulting in geo-referenced time series. In this context, it is of interest to ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ed2574bd3f61b84672b4501a582729
http://hdl.handle.net/10807/98610
http://hdl.handle.net/10807/98610