research
∙
05/17/2023
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Quasi-periodicity refers to a pattern in a function where it appears per...
share
research
∙
05/07/2023
Profile likelihoods for parameters in Gaussian geostatistical models
Profile likelihoods are rarely used in geostatistical models due to the ...
research
∙
02/04/2023
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
In many applications that involve the inference of an unknown smooth fun...
research
∙
01/17/2022
A tool set for random number generation on GPUs in R
We introduce the R package clrng which leverages the gpuR package and is...
research
∙
03/12/2021
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
We define a novel class of additive models called Extended Latent Gaussi...
research
∙
08/06/2020
Red Light Green Light Method for Solving Large Markov Chains
Discrete-time discrete-state finite Markov chains are versatile mathemat...
research
∙
04/21/2020
INLA-MRA: A Bayesian method for large spatiotemporal datasets
Large spatiotemporal datasets are a challenge for conventional Bayesian ...
research
∙
08/15/2019