16 citations · 32 across the 10 of their papers we have counts for
9 papers · 1 filter
Double zero-inflated spatio-temporal modeling of daily precipitation under detection thresholds
Juan Marcen-Gutierrez, Jorge Castillo-Mateo, Alan E. Gelfand +2
Explaining precipitation behavior at daily scale is important for fine scale understanding of the mechanisms driving precipitation. However, this effort is challenging because of t…
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
Adrián Aurensanz-Crespo, Cristóbal M Rodríguez-Leal, Rosario Susi +4
Applied researchers in biomedicine and related fields are often interested in estimating the causal effect of a treatment or intervention. Although randomized clinical trials are c…
Evaluating the performance of GCM trajectories using Weather Type frequencies for persistence and transitions: the Iberian Peninsula and Lamb classification
Elsa Barrio-Torres, Swen Brands, Jesús Asín +3
This study evaluates the performance of 36 historical CMIP6 GCM trajectories (1979-2005) in reproducing atmospheric circulation over the Iberian Peninsula in the summer months (Jun…
Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
Jorge Castillo-Mateo, Zeus Gracia-Tabuenca, Jesús Asín +2
Record-breaking temperature events are now frequently in the news, proffered as evidence of climate change, and often bring significant economic and human impacts. Our previous wor…
Spatio-temporal modeling for record-breaking temperature events in Spain
Jorge Castillo-Mateo, Alan E. Gelfand, Zeus Gracia-Tabuenca +2
Record-breaking temperature events are now very frequently in the news, viewed as evidence of climate change. With this as motivation, we undertake the first substantial spatial mo…
Bayesian joint quantile autoregression
Jorge Castillo-Mateo, Alan E. Gelfand, Jesús Asín +2
Quantile regression continues to increase in usage, providing a useful alternative to customary mean regression. Primary implementation takes the form of so-called multiple quantil…
Model-based tools for assessing space and time change in daily maximum temperature: an application to the Ebro basin in Spain
Ana C. Cebrián, Jesús Asín, Jorge Castillo-Mateo +2
There is continuing interest in the investigation of change in temperature over space and time. We offer a set of tools to illuminate such change temporally, at desired temporal re…
Spatial modeling of day-within-year temperature time series: an examination of daily maximum temperatures in Aragón, Spain
Jorge Castillo-Mateo, Miguel Lafuente, Jesús Asín +3
Acknowledging a considerable literature on modeling daily temperature data, we propose a multi-level spatio-temporal model which introduces several innovations in order to explain…
Distribution-free changepoint detection tests based on the breaking of records
Jorge Castillo-Mateo
The analysis of record-breaking events is of interest in fields such as climatology, hydrology or anthropology. In connection with the record occurrence, we propose three distribut…