50 citations · 81 across the 6 of their papers we have counts for
6 papers
A note on Bayesian R-squared for generalized additive mixed models
Abdollah Jalilian, Aki Vehtari, Luigi Sedda
We present a novel Bayesian framework to decompose the posterior predictive variance in a fitted Generalized Additive Mixed Model (GAMM) into explained and unexplained components.…
Composite likelihood inference for space-time point processes
Abdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu +1
The dynamics of a rain forest is extremely complex involving births, deaths and growth of trees with complex interactions between trees, animals, climate, and environment. We consi…
A central limit theorem for a sequence of conditionally centered random fields
Abdollah Jalilian, Arnaud Poinas, Ganggang Xu +1
A central limit theorem is established for a sum of random variables belonging to a sequence of random fields. The fields are assumed to have zero mean conditional on the past hist…
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
Abdollah Jalilian, Jorge Mateu
The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a heterogeneous pattern. Understanding the underlying temporal and s…
Orthogonal series estimation of the pair correlation function of a spatial point process
Abdollah Jalilian, Yongtao Guan, Rasmus Waagepetersen
The pair correlation function is a fundamental spatial point process characteristic that, given the intensity function, determines second order moments of the point process. Non-pa…
Quasi-likelihood for Spatial Point Processes
Yongtao Guan, Abdollah Jalilian, Rasmus Waagepetersen
Fitting regression models for intensity functions of spatial point processes is of great interest in ecological and epidemiological studies of association between spatially referen…