Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction. - Tomi Peltola; Aki S. Havulinna; Veikko Salomaa; Aki Vehtari (BMA@UAI, 2014)

FINEMAP: efficient variable selection using summary data from genome-wide association studies. - Christian Benner; Chris C. A. Spencer; Aki S. Havulinna; Veikko Salomaa; Samuli Ripatti; Matti Pirinen (Bioinform., 2016)

Multiple Output Regression with Latent Noise. - Jussi Gillberg; Pekka Marttinen; Matti Pirinen; Antti J. Kangas; Pasi Soininen; Mehreen Ali; Aki S. Havulinna; Marjo-Riitta Järvelin; Mika Ala-Korpela; Samuel Kaski (J. Mach. Learn. Res., 2016)

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. - Iiris Sundin; Tomi Peltola; Luana Micallef; Homayun Afrabandpey; Marta Soare; Muntasir Mamun Majumder; Pedram Daee; Chen He 003; Baris Serim; Aki S. Havulinna; Caroline Heckman; Giulio Jacucci; et al. (Bioinform., 2018)

Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks. - Tianyu Cui; Aki S. Havulinna; Pekka Marttinen; Samuel Kaski (CoRR, 2020)