Main presentations

by Ryan Maguire

CONFERENCES

• Conditional likelihood inference for binary and ordinal responses: review and developments, invited presentation at the Workshop in honor of Franco Peracchi, January 2024 (slides)

• Discrete latent variable models: recent advances and perspectives, persentation as keynote speaker at CLADAG 2023, September 14, 2023 (slides)

• A causal latent transition model with multivariate outcomes and unobserved heterogeneity: Application to human capital development, invited presentation at workshop BW-WISPA (special session in honor of R.Colombi), January 27, 2023 (slides)

• Discrete latent variable models with a special focus on hidden Markov models, presentation as keynote speaker at ICDSBA2022, December 17, 2022 (slides)

• Hidden Markov and regime switching copula models for state allocation in multiple time-series, invited presentation at CLADAG2021, September 9, 2021 (slides)

• A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropout, invited presentation at 30th International Biometric Conference, August 2020 (slides)

• Latent Markov models for longitudinal data in R by LMest package, The European R Users (eRum), Milan, June 2020 (slides)

• Conditional inference for binary/ordinal repeated observations: recent developments, invited presentation at "Categorical Data Analysis & Friends - Celebrating Alan Agresti's Italian citizenship", Florence, September 2019 (slides)

• Latent variable models for evaluation systems, presentation as keynote speaker at "IES 2019 - Statistical evaluation systems at 360°: techniques, technologies and new frontiers", Rome, July 2019 (slides)

• Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks, invited presentation at "Challenges for Categorical Data Analysis", Aachen (D), October 2018 (slides)

• Latent Markov model for causal inference with dynamic clustering: an application to the effectiveness of degree programs, invited presentation at "SKAD conference", Danzic (PL), September 2015 (slides)

• Model selection in generalized linear finite mixture regression models by Hausman testing, invited presentation as keynote speaker at MCB2, Catania (IT), September 2014 (slides)

• Modeling Longitudinal Data with Application to Educational and Psychological Measurement,  invited presentation as keynote speaker at JCS-CLADAG 2012, Anacapri (IT), September 2012 (slides)

SEMINARS

• A Bayesian Multinomial model for repeated contingency tables with observed margins, SIde Webinar, July 1, 2021 (slides)

• Advances in conditional maximum likelihood estimation of models for binary panel data, Seminar at CEMFI, Madrid, October 9, 2018 (slides)

• Dealing with reciprocity in static and dynamic stochastic block models, Serminar at CEIS, Tor Vergata, April 20, 2018 (slides)

• Shedding light on the mystery of Data Science: Statistician’s view, Seminar at the University of Rhode Island, April 4, 2017 (poster, slides)

• Latent Markov models for longitudinal data, Seminar at the University of Rhode Island, April 7, 2017

• Stochastic block models: inferential developments in the context of static and dynamic social networks, 2016

• Composite likelihood inference for hidden Markov models for dynamic networks: a new perspective for stochastic blockmodels, Univerty of Lugano (USI), 15/03/2016 (slides)

• Quadratic exponential model for estimating the dynamic logit model and testing for state dependence in binary panel data, University of Luxembourg, 14/01/2015 (slides)

• Study of the effect of the university degree on the work path by a latent Markov model, Università di Bolzano, 25/03/2014 (slides).

• Testing for time-invariant unobserved heterogeneity in nonlinear panel-data models, Université de Genève, 05/10/2012 (slides) and Università di Bologna, 31/01/2013

• Ranking scientific journals via latent class models for polytomous item response data, EIEF 29/09/2012 (slides)

• Continuous and discrete latent variable models for longitudinal data: comparison and new proposal, Università di Catania, 10/12/12 (slides)

• Latent variable models for longitudinal data, Università di Roma 3, 01/02/12 (slides)

• Performance evaluation of nursing homes via latent Markov models, Università Milano-Bicocca, 12/10/2010 (slides)

• Analysis of binary panel data by static and dynamic logit models , Università di Napoli – Federico II, 03/12/2009 (slides)

• Pseudo conditional ML estimation of the dynamic logit model for binary panel data , UPF - Barcelona, 21/01/2009 and University of Leaven 27/04/09 (slides)

• Dynamic logit model: pseudo conditional likelihood estimation and latent Markov extension, Luiss Roma, 14/11/2008 (slides)

• Likelihood inference for a latent Markov Rasch model, with application to educational assessment, Laboratoire de Statistique Théorique et Appliquée (LSTA), Université Pierre et Marie Curie - Paris VI, 06/03/2006 (slides)

• A class of latent marginal models for capture-recapture data with continuous covariates, Dipartimento di Economia Politica e Metodi Quantitativi, Università di Pavia, 21/04/2005 (slides)

• Empirical likelihood control charts for the process mean, Department of Applied Statistics and Operational Research, Università Politecnica de Valencia, 26/07/04 (slides)

• Analisi di dati cattura-ricattura tramite una versione estesa del modello di Rasch, Rasch Analysis: aspetti teorici e pratici, Università Milano, 28/06/04 (slides)

• A Markov Chain Approach to Quality Control, Department of Applied Statistics and Operational Research, Università Politecnica de Valencia, 17/07/03 (slides)

• Introduzione all'ottimizzazione stocastica, Scuola estiva di ottimizzazione, Università dell'Insubria, 10/07/03 (slides)

• Modelli mistura per l'analisi di dati cattura-ricattura, Istituto di Metodi Quantitativi, Università Bocconi, 05/06/03 (slides)

• Analisi di dati categorici con modelli marginali espressi tramite vincoli di uguaglianza e disuguaglianza, Ente per gli studi monetari, bancari e finanziali Luigi Einaudi, Roma, 25/10/02 (slides)

• Una classe di modelli a variabile latente per l'analisi di dati di tipo cattura-ricattura, Istituto di Economia, Facoltà di Economia, Università dell’Insubria, Varese, 04/06/02 (slides)

• A Likelihood Ratio Test for MTP2 within Binary Variables, Department of Statistics of Penn State University, USA, 29/06/00 (slides)