Jeroen Goedhart

Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression Trees

Goedhart, J. M., Klausch, T., Janssen, J. & van de Wiel, M. A., 28 Feb 2025, In: Statistics in Medicine. 44, 5, e70004.

Research output: Contribution to journal › Article* › Academic › peer-review

Estimation of predictive performance in high-dimensional data settings using learning curves

Goedhart, J. M., Klausch, T. & van de Wiel, M. A., 1 Apr 2023, In: COMPUTATIONAL STATISTICS & DATA ANALYSIS. 180, 107622.

Research output: Contribution to journal › Article* › Academic › peer-review

Trade-offs between cost and information in cellular prediction

Tjalma, A. J., Galstyan, V., Goedhart, J., Slim, L., Becker, N. B. & ten Wolde, P. R., 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 41, e2303078120.

Research output: Contribution to journal › Article* › Academic › peer-review

Specialization

Focus of research

Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression Trees

Estimation of predictive performance in high-dimensional data settings using learning curves

Trade-offs between cost and information in cellular prediction

Jeroen Goedhart

Specialization

Focus of research

Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression Trees

Estimation of predictive performance in high-dimensional data settings using learning curves

Trade-offs between cost and information in cellular prediction

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