3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.CO2022★ 3 cited
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models
Juho Timonen, Nikolas Siccha, Ben Bales +2
Statistical models can involve implicitly defined quantities, such as solutions to nonlinear ordinary differential equations (ODEs), that unavoidably need to be numerically approxi…
stat.CO2021
Scalable mixed-domain Gaussian process modeling and model reduction for longitudinal data
Juho Timonen, Harri Lähdesmäki
Gaussian process (GP) models that combine both categorical and continuous input variables have found use in analysis of longitudinal data and computer experiments. However, standar…
stat.ML2019
lgpr: An interpretable nonparametric method for inferring covariate effects from longitudinal data
Juho Timonen, Henrik Mannerström, Aki Vehtari +1
Longitudinal study designs are indispensable for studying disease progression. Inferring covariate effects from longitudinal data, however, requires interpretable methods that can…