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

Participation is open and free. For attending the meeting, please fill the registration form (link).

Click here to get further information about the meeting.


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

    1. Linda Altieri - UniBO, Entropy in spatial sampling
    2. Crescenza Calculli, Alessio Pollice - UniBA, A joint space-time model for the analysis of multi-response marine litter data with INLA
    3. 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

    1. Alex Laini - Università di Parma, Challenges in community ecology: insights from freshwater invertebrates
    2. Francesco Colloca - Stazione Zoologica di Napoli Anton Dohrn. Understanding the impact of climate change and fisheries on Mediterranean fish communities
    3. 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

    1. Michela Cameletti - UniBG, Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach
    2. Pasquale Valentini - UniPE, A Hierarchical Bayesian Spatio-Temporal Model to Estimate the Short-term Effects of Air Pollution on Human Health
    3. 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

    1. Giovanna Jona Lasinio – Sapienza Roma, Hierarchical Bayesian models for climate data analysis
    2. Luigi Ippoliti - UniPE, Simple spatio-temporal models for complex spatial and spatio-temporal data
    3. 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

    1. Francesco Lagona - UniRoma3, Copula-based hidden markov models for directional data
    2. Antonello Maruotti - Roma LUMSA, A finite mixture regression model for discrete circular data, with application to animal orientation
    3. 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

    1. Chiara Tommasi - UniMI, An improved asymptotic approximation in a two stage adaptive design
    2. Rosamarie Frieri - UniBO, Multi-purpose optimal designs in exponential trials
    3. 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

    1. Rosalba Ignaccolo - UniTO, Gaussian Processes for curve prediction and classification
    2. Sara Fontanella - UniTO & Imperial College London, Network Analysis for Functional Data
    3. Francesca Fortuna - UniCH, Functional Horvitz-Thompson estimator for constrained curves

17.00 – 17.15: Closing session


  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Guido Fioravanti - ISPRA Roma. Spatio-temporal interpolation of monthly temperature Italian time series using INLA and the SPDE approach.
  7. Luigi Ippoliti– UniCH; Angela Ferretti – UniCH. Long memory spatial models.
  8. Luigi Ippoliti - UniCH, Eugenia Nissi – UniCH. Spatio-temporal analysis and prediction of air quality using Discrete Fourier Transform.
  9. 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.
  10. 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
  11. 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.
  12. Francesca Fortunato - UniBO. Small-area statistical estimation of claim risk.
  13. J. Paul Elhorst - University of Groningen; Silvia Emili – UniBO. A simultaneous system of dynamic spatial panel data equations on Okun’s law.
  14. 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"




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.


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