2 papers
math.ST2024
Computationally Efficient Algorithms for Simulating Isotropic Gaussian Random Fields on Graphs with Euclidean Edges
Alfredo Alegría, Xavier Emery, Tobia Filosi +1
This work addresses the problem of simulating Gaussian random fields that are continuously indexed over a class of metric graphs, termed graphs with Euclidean edges, being more gen…
stat.ME2024
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
Alfredo Alegría
This paper focuses on block likelihood estimation for geostatistical data, a method that balances statistical accuracy and computational efficiency. Central to this approach is the…