Projection predictive model selection for Gaussian processes. - Juho Piironen; Aki Vehtari (MLSP, 2016)

On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior. - Juho Piironen; Aki Vehtari (AISTATS, 2017)

Comparison of Bayesian predictive methods for model selection. - Juho Piironen; Aki Vehtari (Stat. Comput., 2017)

Iterative Supervised Principal Components. - Juho Piironen; Aki Vehtari (AISTATS, 2018)

Alarm Prediction in LTE Networks. - Simon Holmbacka; Jarno Niemelä; Henri Karikallio; Karri Sunila; Ilkka Raiskinen; Eero Siivola; Juho Piironen; Tuomas Sivula (ICT, 2018)

Projective Inference in High-dimensional Problems: Prediction and Feature Selection. - Juho Piironen; Markus Paasiniemi; Aki Vehtari (CoRR, 2018)

Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution. - Topi Paananen; Juho Piironen; Michael Riis Andersen; Aki Vehtari (AISTATS, 2019)

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (CoRR, 2019)

Bayesian Predictive Inference and Feature Selection for High-Dimensional Data; (Bayesilainen ennustava päättely ja piirrevalinta korkeaulotteisille aineistoille). - Juho Piironen (2019)

A decision-theoretic approach for model interpretability in Bayesian framework. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (Mach. Learn., 2020)

Implicitly adaptive importance sampling. - Topi Paananen; Juho Piironen; Paul-Christian Bürkner; Aki Vehtari (Stat. Comput., 2021)

Using reference models in variable selection. - Federico Pavone; Juho Piironen; Paul-Christian Bürkner; Aki Vehtari (Comput. Stat., 2023)