2 citations · 2 across the 3 of their papers we have counts for
5 papers
Multidimensional Integral Fractional Ornstein--Uhlenbeck Process with an Application to Animal Movement
J. H. Ramírez-González, Erick A. Chacón-Montalván, Paula Moraga +1
Fractional Ornstein--Uhlenbeck (fOU) processes model temporal dependence and memory, including long-range dependence, while retaining the classical Ornstein--Uhlenbeck process as a…
Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy
Fernando Rodriguez Avellaneda, Erick A. Chacón-Montalván, Paula Moraga
Air pollution remains a critical environmental and public health challenge, demanding high-resolution spatial data to better understand its spatial distribution and impacts. This s…
Bayesian spatial functional data clustering: applications in disease surveillance
Ruiman Zhong, Erick A. Chacón-Montalván, Paula Moraga
Our method extends the application of random spanning trees to cases where the response variable belongs to the exponential family, making it suitable for a wide range of real-worl…
Spatial Latent Gaussian Modelling with Change of Support
Erick A. Chacón-Montalván, Peter M. Atkinson, Christopher Nemeth +2
Spatial data are often derived from multiple sources (e.g. satellites, in-situ sensors, survey samples) with different supports, but associated with the same properties of a spatia…
A Model-Based General Alternative to the Standardised Precipitation Index
Erick A. Chacón-Montalván, Luke Parry, Gemma Davies +1
In this paper, we introduce two new model-based versions of the widely-used standardized precipitation index (SPI) for detecting and quantifying the magnitude of extreme hydro-clim…