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Elife|March 2, 2026
Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing dataGuangzhao Cheng, Aki Vehtari, Lu ChengNeural Computation|October 25, 2002
Bayesian model assessment and comparison using cross-validation predictive densitiesAki Vehtari, Jouko LampinenNature Communications|April 19, 2019
An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal dataLu Cheng, Siddharth Ramchandran, Tommi Vatanen, et al.Health Care Management Science|July 16, 2010
Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approachJaakko Riihimäki, Reijo Sund, Aki VehtariStatistics in Medicine|February 15, 2021
Qualifying drug dosing regimens in pediatrics using Gaussian processesEero Siivola, Sebastian Weber, Aki VehtariStatistics in Medicine|June 17, 2010
Approximate inference for disease mapping with sparse Gaussian processesJarno Vanhatalo, Ville Pietiläinen, Aki VehtariPlos One|November 21, 2012
Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysisTomi Peltola, Pekka Marttinen, Aki VehtariThe Journal of Chemical Physics|January 2, 2025
Active learning of molecular data for task-specific objectivesKunal Ghosh, Milica Todorović, Aki Vehtari, et al.Bioinformatics (Oxford, England)|January 20, 2021
lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal dataJuho Timonen, Henrik Mannerström, Aki Vehtari, et al.Bayesian Analysis|September 19, 2025
Bayesian Hierarchical Stacking: Some Models Are (Somewhere) UsefulYuling Yao, Gregor Pirš, Aki Vehtari, et al.Pageof 83