publications.qmd

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title: "Publications"
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* **Scalable mixed-domain Gaussian process modeling and model reduction for longitudinal data**. Timonen, J. & Lähdesmäki, H., 2024, [arXiv](https://arxiv.org/abs/2111.02019)

* **An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models**. Timonen, J., Siccha, N., Bales, B., Lähdesmäki, H. & Vehtari, A., 2023, [Stat](https://onlinelibrary.wiley.com/doi/10.1002/sta4.614). 12, 1, e614.

* **lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data**. Timonen, J., Mannerström, H., Vehtari, A. & Lähdesmäki, H., 2021, [Bioinformatics](https://academic.oup.com/bioinformatics/article/37/13/1860/6104850). 37, 13, p. 1860-1867.

* **A probabilistic framework for molecular network structure inference by means of mechanistic modeling**. Timonen, J., Mannerström, H., Lähdesmäki, H. & Intosalmi, J., 2018, [IEEE-ACM Transactions on Computational Biology and Bioinformatics](https://ieeexplore.ieee.org/document/8334413). 16, 6, p. 1843-1854

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