EphaStat PROJECT FINAL MEETING
DUE TO THE CORONAVIRUS EMERGENCY
THE MEETING HAS BEEN CANCELLED
EphaStat FINAL MEETING - PART I
Bologna, 06-07 April 2020
Dipartimento di Scienze Statistiche "Paolo Fortunati"
Università degli Studi di Bologna
Via delle Belle Arti n. 41
Local organizing committee: D. Cocchi, L. Altieri, M. Ventrucci
PROGRAM
Monday 6 April
10:30 – 11:00: Opening session
11.00 – 11.45 - Special Invited Talk 1
- Janine Illian, University of Glasgow, Spatial point process modelling in practice -- considering the observation process
11.45 – 12.45 - Session 1: Statistical models for ecology
- Linda Altieri - UniBO, Entropy in spatial sampling
- Crescenza Calculli, Alessio Pollice - UniBA, A joint space-time model for the analysis of multi-response marine litter data with INLA
- Gianluca Mastrantonio - Politecnico di Torino, New formulation of the logistic-Gaussian process to analyze trajectory tracking data
12.45 – 14.00: Lunch
14.00 – 15.00 - Session 2: Ecology and statistics
- Alex Laini - Università di Parma, Challenges in community ecology: insights from freshwater invertebrates
- Francesco Colloca - Stazione Zoologica di Napoli Anton Dohrn. Understanding the impact of climate change and fisheries on Mediterranean fish communities
- Daniele Ventura - Dipartimento di Biologia Ambientale ed Evoluzionistica – Sapienza Roma. Understanding morphological evolution of biogenic reef of Sabellaria alveolata (Polychaeta: Sabellariidae) through underwater close-range photogrammetry
15.00 – 15.45 - Special Invited Talk 2
- Miguel A. Martínez Beneito - University of Valencia, A proposal for estimating spatial weight matrices for disease mapping studies (joint work with Francisca Corpas-Burgos: Foundation for the Promotion of Health and Biomedical Research of Valencia).
15.45 – 16.15: Coffee break
16.15 – 17.15 - Session 3: Environmental epidemiology
- Michela Cameletti - UniBG, Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach
- Pasquale Valentini - UniPE, A Hierarchical Bayesian Spatio-Temporal Model to Estimate the Short-term Effects of Air Pollution on Human Health
- Aldo Gardini - UniBO, Conditional means estimation with Bayesian log-normal linear mixed models: environmental applications
17.15 – 18.15 - Session 4: Modelling complex spatio-temporal data
- Giovanna Jona Lasinio – Sapienza Roma, Hierarchical Bayesian models for climate data analysis
- Luigi Ippoliti - UniPE, Simple spatio-temporal models for complex spatial and spatio-temporal data
- Francesco Finazzi - UniBG, Quantifying personal exposure to air pollution from smartphone‐based location data
20.00 - : Dinner
Tuesday 7 April
09.15 – 10.15 - Session 1: Latent variable models
- Francesco Lagona - UniRoma3, Copula-based hidden markov models for directional data
- Antonello Maruotti - Roma LUMSA, A finite mixture regression model for discrete circular data, with application to animal orientation
- Shaho Zarei - Università del Kurdistan, Hierarchical Bayesian heavy-tailed model for Small area estimation
10.15 – 11.00 - Special Invited Talk 3
- Fabian Scheipl, LMU Munich , Registering Large Incomplete Non-Gaussian Functional Data
11.00 – 11.30: Coffee
11.30 – 12.45 - Poster session (see below for the list of poster)
12.45 – 14.00: Lunch
14.00 – 14.45 - Special Invited Talk 4
- Simone Vantini - Politecnico Milano, Object-Oriented Data Analysis for Climate Change and Energy Economics
14.45 – 15.45 - Session 2: New topics in design of experiments
- Chiara Tommasi - UniMI, An improved asymptotic approximation in a two stage adaptive design
- Rosamarie Frieri - UniBO, Multi-purpose optimal designs in exponential trials
- Marco Novelli - UniBO, Compound optimal allocations for clinical trials with censored data
15.45 – 16.00: Coffee break
16.00 – 17.00 - Session 3: Modelling Functional Data
- Rosalba Ignaccolo - UniTO, Gaussian Processes for curve prediction and classification
- Sara Fontanella - UniTO & Imperial College London, Network Analysis for Functional Data
- Francesca Fortuna - UniCH, Functional Horvitz-Thompson estimator for constrained curves
17.00 – 17.15: Closing session
POSTER LIST
- Alessio Pollice - UniBA; Giovanna Jona Lasinio - Sapienza Roma; Mattias Gaglio – University of Ferrara; Guillaume Blanchet - Sherbrooke University; Elisa Fano – University of Ferrara. Modelling the effect of directional spatial ecological processes for a river network in Northern Italy.
- Giovanna Jona Lasinio – Sapienza Rome, Alessio Pollice - UniBA, Sabrina Sarrocco – University of Pisa, Giovanni Vannacci – University of Pisa. A new statistical protocol to describe nutrient fungal competition.
- Enzo Papandrea - Istituto di Scienze dell'Atmosfera e del Clima, ISAC-CNR. Exploiting the AIRWAVEv2 Total Column Water Vapor dataset: atmospheric lee waves detection over the Mediterranean Basin.
- Elisa Castelli - Istituto delle Scienze dell’Atmosfera e del Clima, ISAC – CNR. ITCZ Trend analysis via Geodesic P-Spline smoothing of the AIRWAVE TCWV and cloud frequency dataset.
- Francesco Angelini – UniBO; Gloria Finotto – University Ca’ Foscari, Venice, Fabiana Zollo – University Ca’ Foscari, Venice. Measuring sustainability of European Capital of Culture: A novel text-analysis-based index with an application to the 2019 Italian case.
- Guido Fioravanti - ISPRA Roma. Spatio-temporal interpolation of monthly temperature Italian time series using INLA and the SPDE approach.
- Luigi Ippoliti– UniCH; Angela Ferretti – UniCH. Long memory spatial models.
- Luigi Ippoliti - UniCH, Eugenia Nissi – UniCH. Spatio-temporal analysis and prediction of air quality using Discrete Fourier Transform.
- Lara Fontanella – UniCH; Luigi Ippoliti - UniCH; Annalina Sarra – UniCH; Eugenia Nissi - UniCH; Palermi Sergio – ARTA Abruzzo. Investigating the association between indoor radon concentrations and some potential influencing factors through a profile regression approach.
- Nicola Pronello - UniTO, Rosaria Ignaccolo - UniTO, Sara Fontanella - Imperial College London, Luigi Ippoliti - UniCH-PE. Model based clustering for functional data: a dimensional reduction approach via shrinkage methods
- Lorenzo Picco – UniTO; Rosaria Ignaccolo - UniTO, Sara Fontanella - Imperial College London, Luigi Ippoliti - UniCH-PE. Bayesian methods for sparse modeling: no “turning back” on the path to variable selection.
- Francesca Fortunato - UniBO. Small-area statistical estimation of claim risk.
- J. Paul Elhorst - University of Groningen; Silvia Emili – UniBO. A simultaneous system of dynamic spatial panel data equations on Okun’s law.
- Roberta Amorati, Giulia Giovannini, Michele Stortini - ARPAE Emilia Romagna. Operational use of a Bayesian spatio-temporal statistical post-processing for air quality prediction in Emilia-Romagna"
EphaStat FINAL MEETING - PART II
DUE TO THE CORONAVIRUS EMERGENCY
THE WORKSHOP HAS BEEN CANCELLED
Bologna, 08-12 June 2020
Università degli Studi di Bologna
Via Irnerio n. 46 - Room 2
Internal workshop based on the STAN code ("Bayesian inference using Stan with focus on environmental case studies").
Participation is limited to the members of the EphaStat project.
PROGRAM
Day 1
9.30-12.30 Session 1: The Stan language: Bayesian hierarchical modelling and inference
14.30-16 Session 2: An introduction to Hamiltonian Monte Carlo
16.30-17.30 Roundtable: case studies discussion TBA
Day 2
9.30-12.30 Session 1: The Stan language: Centered vs uncentered parametrization
14.30-16 Session 2: Diagnosing biased Inference with divergences
16.30-17.30 Roundtable: case studies discussion TBA
Day 3
9.30-12.30 Session 1: The Stan language: Generalized linear mixed models
14.30-16 Session 2: Visualization in Bayesian workflow
16.30-17.30 Roundtable: case studies discussion TBA
Day 4
9.30-12.30 Session 1: The Stan language: Spatial models for areal data
14.30-16 Session 2: Intrinsic autoregressive models for areal data
16.30-17.30 Roundtable: case studies discussion TBA
Day 5
9.30-12.30 Session 1: The Stan language: Spatial models for large datasets
14.30-16 Session 2: Gaussian Markov Random Fields
16.30-17.30 Roundtable: case studies discussion TBA