Publications

• Bayesian machine learning model guiding iterative, personalized anticoagulant dosing decision-making: ENGAGE AF-TIMI 48 trial analysis (2025). Gibson, C.M., Chen, C., Buros-Novik, J., Novik, E., Timonen, J., Braunwald, E., Antman, E.M., Fronk, E., Clasen, M., Giugliano, R.P., Unverdorben, M., JACC: Advances (to appear)

• Scalable mixed-domain Gaussian process modeling and model reduction for longitudinal data (2025). Timonen, J. & Lähdesmäki, H., Bayesian Analysis (to appear)

• An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models (2023). Timonen, J., Siccha, N., Bales, B., Lähdesmäki, H. & Vehtari, A., Stat. 12, 1, e614.

• lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data (2021). Timonen, J., Mannerström, H., Vehtari, A. & Lähdesmäki, H., Bioinformatics. 37, 13, p. 1860-1867.

• A probabilistic framework for molecular network structure inference by means of mechanistic modeling (2018). Timonen, J., Mannerström, H., Lähdesmäki, H. & Intosalmi, J., IEEE-ACM Transactions on Computational Biology and Bioinformatics. 16, 6, p. 1843-1854