Lucia Paci

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All published works

Action	Title	Year	Authors
+	Hierarchical Mixture of Finite Mixtures (with Discussion)	2024	A. Colombi Raffaele Argiento Federico Camerlenghi Lucia Paci
+ PDF Chat	Learning Block Structured Graphs in Gaussian Graphical Models	2023	Alessandro Colombi Raffaele Argiento Lucia Paci Alessia Pini
+	Survival modelling of smartphone trigger data for earthquake parameter estimation in early warning. With applications to 2023 Turkish-Syrian and 2019 Ridgecrest events	2023	Luca Maria Aiello Raffaele Argiento Francesco Finazzi Lucia Paci
+	Mixture modeling via vectors of normalized independent finite point processes	2023	Alessandro Colombi Raffaele Argiento Federico Camerlenghi Lucia Paci
+ PDF Chat	Gaussian graphical modeling for spectrometric data analysis	2022	Laura Codazzi Alessandro Colombi Matteo Gianella Raffaele Argiento Lucia Paci Alessia Pini
+	Learning block structured graphs in Gaussian graphical models	2022	A. Colombi Raffaele Argiento Lucia Paci Alessia Pini
+	Model-based clustering of categorical data based on the Hamming distance	2022	Raffaele Argiento Edoardo Filippi-Mazzola Lucia Paci
+ PDF Chat	Score-Driven Modeling of Spatio-Temporal Data	2021	Francesca Gasperoni Alessandra Luati Lucia Paci Enzo D’Innocenzo
+	Functional graphical model for spectrometric data analysis	2021	Laura Codazzi Alessandro Colombi Matteo Gianella Raffaele Argiento Lucia Paci Alessia Pini
+	Gaussian graphical modeling for spectrometric data analysis	2021	Laura Codazzi Alessandro Colombi Matteo Gianella Raffaele Argiento Lucia Paci Alessia Pini
+	Model-based clustering clustering for categorical data via Hamming distance	2021	Raffaele Argiento Edoardo Filippi-Mazzola Lucia Paci
+	Group-dependent finite mixture model	2021	Paola Costa Fontichiari Miriam Giuliani Raffaele Argiento Lucia Paci
+	Gaussian graphical modeling for spectrometric data analysis	2021	Laura Codazzi A. Colombi Matteo Gianella Raffaele Argiento Lucia Paci Alessia Pini
+	Graphical model selection for air quality time series	2019	Lucia Paci Guido Consonni
+ PDF Chat	Dynamic model-based clustering for spatio-temporal data	2017	Lucia Paci Francesco Finazzi
+	A practical approach for assessing the effect of grouping in hierarchical spatio-temporal models	2012	Francesca Bruno Daniela Cocchi Lucia Paci
+	A comparison between hierarchical spatio-temporal models in presence of spatial homogeneous groups: the case of Ozone in the Emilia-Romagna Region	2011	Francesca Bruno Lucia Paci

Common Coauthors

Coauthor	Papers Together
Raffaele Argiento	12
Alessia Pini	6
Alessandro Colombi	5
Matteo Gianella	4
Laura Codazzi	4
A. Colombi	3
Edoardo Filippi-Mazzola	2
Francesco Finazzi	2
Francesca Bruno	2
Federico Camerlenghi	2
Alessandra Luati	1
Paola Costa Fontichiari	1
Enzo D’Innocenzo	1
Luca Maria Aiello	1
Guido Consonni	1
Daniela Cocchi	1
Miriam Giuliani	1
Francesca Gasperoni	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bayesian Inference of Multiple Gaussian Graphical Models	2014	Christine B. Peterson Francesco C. Stingo Marina Vannucci	5
+ PDF Chat	Experiments in Stochastic Computation for High-Dimensional Graphical Models	2005	Beatrix Jones Carlos M. Carvalho Adrian Dobra Chris Hans Chris Carter Mike West	4
+ PDF Chat	An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach	2011	Finn Lindgren Håvard Rue Johan Lindström	3
+ PDF Chat	Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling	2019	Andrea Cremaschi Raffaele Argiento Katherine Shoemaker Christine B. Peterson Marina Vannucci	3
+	Feature-Inclusion Stochastic Search for Gaussian Graphical Models	2008	James G. Scott Carlos Marinho Carvalho	3
+ PDF Chat	Exact formulas for the normalizing constants of Wishart distributions for graphical models	2018	Caroline Uhler Alex Lenkoski Donald Richards	3
+	Hyper Inverse Wishart Distribution for Non‐decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models	2002	Alberto Roverato	3
+ PDF Chat	A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI	2017	Bing Li Eftychia Solea	3
+ PDF Chat	Bayesian Regularization via Graph Laplacian	2014	Fei Liu Sounak Chakraborty Fan Li Yan Liu Aurélie Lozano	2
+ PDF Chat	Functional Graphical Models	2017	Xinghao Qiao Shaojun Guo Gareth James	2
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	2
+	Bayesian P-Splines	2004	Stefan Lang Andreas Brezger	2
+	Estimating the covariance function with functional data	2002	Sik‐Yum Lee Wenyang Zhang Xin‐Yuan Song	2
+	Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis	2013	Anindya Bhadra Bani K. Mallick	2
+ PDF Chat	Model-based clustering based on sparse finite Gaussian mixtures	2014	Gertraud Malsiner‐Walli Sylvia Frühwirth‐Schnatter Bettina Grün	2
+ PDF Chat	A direct sampler for G‐Wishart variates	2013	Alex Lenkoski	2
+	Sparse seemingly unrelated regression modelling: Applications in finance and econometrics	2010	Hao Wang	2
+ PDF Chat	Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian Prior	2019	Qingpo Cai Jian Kang Tianwei Yu	2
+	None	2003	Paolo Giudici Robert Castelo	2
+ PDF Chat	<b>BFDA</b>: A <i>MATLAB</i> Toolbox for Bayesian Functional Data Analysis	2019	Jingjing Yang Peng Ren	2
+	A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models	2005	Aliye Atay-Kayis Hélène Massam	2
+ PDF Chat	Optimal predictive model selection	2004	Maria Maddalena Barbieri James O. Berger	2
+	Model choice: a minimum posterior predictive loss approach	1998	Alan E. Gelfand Sujit K. Ghosh	2
+ PDF Chat	<b>BDgraph</b>: An <i>R</i> Package for Bayesian Structure Learning in Graphical Models	2019	Reza Mohammadi Ernst C. Wit	2
+	Bayesian Functional Data Analysis Using<b>WinBUGS</b>	2010	Ciprian M. Crainiceanu Alfred Goldsmith	2
+ PDF Chat	FDR and Bayesian Multiple Comparisons Rules	2007	Peter Müller Giovanni Parmigiani Kenneth Rice	2
+ PDF Chat	Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework	2016	Yang Ni Francesco C. Stingo Veerabhadran Baladandayuthapani	2
+ PDF Chat	Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling	2005	Ajay Jasra Chris Holmes David A. Stephens	1
+ PDF Chat	Generalized Spatial Dirichlet Process Models	2007	Jin‐Ao Duan Michele Guindani Alan E. Gelfand	1
+ PDF Chat	Conditional Prior Proposals in Dynamic Models	1999	Leonhard Knorr‐Held	1
+	Multivariate T-Distributions and Their Applications	2004	Samuel Kotz Saralees Nadarajah	1
+ PDF Chat	Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models	1993	A. P. Dawid Steffen L. Lauritzen	1
+	A practical approach for assessing the effect of grouping in hierarchical spatio-temporal models	2012	Francesca Bruno Daniela Cocchi Lucia Paci	1
+ PDF Chat	Deviance information criteria for missing data models	2006	Gilles Celeux Florence Forbes Caroline Robert D. M. Titterington	1
+ PDF Chat	The Statistical Analysis of fMRI Data	2008	Martin A. Lindquist	1
+	Posterior Analysis for Normalized Random Measures with Independent Increments	2008	Lancelot F. James Antonio Lijoi Igor Prünster	1
+ PDF Chat	Overfitting Bayesian Mixture Models with an Unknown Number of Components	2015	Zoé van Havre Nicole White Judith Rousseau Kerrie Mengersen	1
+	Gaussian Markov Random Fields	2005	Håvard Rue Leonhard Held	1
+	Multivariate mixtures of normals with unknown number of components	2006	Πέτρος Δελλαπόρτας Ι. Παπαγεωργίου	1
+	Information-theoretic optimality of observation-driven time series models for continuous responses	2015	F. Blasques Siem Jan Koopman André Lucas	1
+ PDF Chat	Space-time areal mixture model: relabeling algorithm and model selection issues	2014	Md Monir Hossain A Lawson Bo Cai Jungsoon Choi Jihong Liu Russell S. Kirby	1
+	Maximum Likelihood Estimation and Inference in Multivariate Conditionally Heteroscedastic Dynamic Regression Models With Student<i>t</i>Innovations	2003	Gabriele Fiorentini Enrique Sentana Giorgio Calzolari	1
+ PDF Chat	Fast covariance estimation for high-dimensional functional data	2014	Luo Xiao Vadim Zipunnikov David Ruppert Ciprian M. Crainiceanu	1
+	Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging	2007	Michael S. Smith Ludwig Fahrmeir	1
+	Spatiotemporal Models for Region of Interest Analyses of Functional Neuroimaging Data	2007	F. DuBois Bowman	1
+ PDF Chat	Dealing With Label Switching in Mixture Models	2000	Matthew Stephens	1
+ PDF Chat	Modelling Spatially Correlated Data via Mixtures: A Bayesian Approach	2002	Carmen Fernández Peter J. Green	1
+	Bayesian Nonparametric Estimation of the Probability of Discovering New Species	2007	Antonio Lijoi Ramsés H. Mena Igor Prünster	1
+	Decomposable graphical Gaussian model determination	1999	Paolo Giudici Peter J Green	1
+	Filtering With Heavy Tails	2014	Andrew Harvey Alessandra Luati	1