Øystein Sørensen
Papers
Software
Courses
2026
March
A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
2025
October
Gaining Brain Insights by Tapping into the Black Box: Linking Structural MRI Features to Age and Cognition using Shapley-Based Interpretation Methods
January
Modeling Cycles, Trends and Time-Varying Effects in Dynamic Structural Equation Models with Regression Splines
2024
December
Sequential Rank and Preference Learning with the Bayesian Mallows Model
September
Multilevel Semiparametric Latent Variable Modeling in R with “galamm”
2023
September
galamm - Generalized Additive Latent and Mixed Models
June
Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models
2021
February
A recipe for accurate estimation of lifespan brain trajectories, distinguishing longitudinal and cohort effects
January
Meta-analysis of generalized additive models in neuroimaging studies
2020
September
BayesianLaterality - Predict Brain Asymmetry Based on Handedness and Dichotic Listening
June
BayesMallows: An R Package for the Bayesian Mallows Model
May
From observed laterality to latent hemispheric differences: Revisiting the inference problem
February
metagam: Meta-Analysis of Generalized Additive Models
2019
May
hdme: High-Dimensional Regression with Measurement Error
2018
October
BayesMallows: Bayesian Preference Learning with the Mallows Rank Model
June
Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error
April
Probabilistic preference learning with the Mallows rank model
March
hdme: High-Dimensional Regression with Measurement Error
2015
April
Measurement Error in Lasso: Impact and Likelihood Bias Correction