5 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic
Wei Zhang, Antonietta Mira, Ernst C. Wit
COVID-19 has led to excess deaths around the world, however it remains unclear how the mortality of other causes of death has changed during the pandemic. Aiming at understanding t…
A Stochastic Gradient Relational Event Additive Model for modelling US patent citations from 1976 until 2022
Edoardo Filippi-Mazzola, Ernst C. Wit
Until 2022, the US patent citation network contained almost 10 million patents and over 100 million citations. To overcome limitations in analyzing such complex networks, we propos…
Efficient implementation of sets and multisets in R using hash tables
Giacomo Ceoldo, Ernst C. Wit
The package hset for the R language contains an implementation of a S4 class for sets and multisets of numbers. The implementation, based on the hash table data structure from the…
Fast inference of latent space dynamics in huge relational event networks
Igor Artico, Ernst Wit
Relational events are a type of social interactions, that sometimes are referred to as dynamic networks. Its dynamics typically depends on emerging patterns, so-called endogenous v…
Analysing ecological dynamics with relational event models: the case of biological invasions
Rūta Juozaitienė, Hanno Seebens, Guillaume Latombe +2
Aim: Spatio-temporal processes play a key role in ecology, from genes to large-scale macroecological and biogeographical processes. Existing methods studying such spatio-temporally…