1 citations · 2 across the 5 of their papers we have counts for
7 papers
Global and local indicators of spatial connectivity for areal data
Álvaro Briz-Redón, Marco Ruiz-Valderrama
Methods for areal data commonly describe spatial structure through global autocorrelation measures or local indicators based on neighboring values. In many applications, however, i…
A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
Álvaro Briz-Redón, Ana Corberán-Vallet, Adina Iftimi +1
Environmental exposures, such as air pollution and extreme temperatures, have complex effects on human health. These effects are often characterized by non-linear exposure-lag-resp…
A Bayesian aoristic logistic regression to model spatio-temporal crime risk under the presence of interval-censored event times
Álvaro Briz-Redón
From a statistical point of view, crime data present certain peculiarities that have led to a growing interest in their analysis. In particular, a characteristic that some property…
A doubly self-exciting Poisson model for describing scoring levels in NBA basketball
Álvaro Briz-Redón
In this paper, Poisson time series models are considered to describe the number of field goals made by a basketball team or player at both the game (within-season) and the minute (…
On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain
Álvaro Briz-Redón, Ángel Serrano-Aroca
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19), has led to the deepest global health and economic crisis of…
The impact of modelling choices on modelling outcomes: a spatio-temporal study of the association between COVID-19 spread and environmental conditions in Catalonia (Spain)
Álvaro Briz-Redón
The choices that researchers make while conducting a statistical analysis usually have a notable impact on the results. This fact has become evident in the ongoing research of the…
DRHotNet: An R package for detecting differential risk hotspots on a linear network
Álvaro Briz-Redón, Francisco Martínez-Ruiz, Francisco Montes
One of the most common applications of spatial data analysis is detecting zones, at a certain investigation level, where a point-referenced event under study is especially concentr…