Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctoral degree, Natural Sciences, Universität Münster
Award Date: 4 Sep 2017
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Dive into the research topics where Paul-Christian Burkner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort
Malén, T., Karjalainen, T., Isojärvi, J., Vehtari, A., Bürkner, P. C., Putkinen, V., Kaasinen, V., Hietala, J., Nuutila, P., Rinne, J. & Nummenmaa, L., 15 Jul 2022, In: NeuroImage. 255, p. 1-9 9 p., 119149.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)11 Downloads (Pure) -
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison
Säilynoja, T., Bürkner, P. C. & Vehtari, A., 15 Apr 2022, In: STATISTICS AND COMPUTING. 32, 2, p. 1-21 21 p., 32.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile18 Downloads (Pure) -
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Catalina, A., Burkner, P. & Vehtari, A., 2022, INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151. Camps-Valls, G., Ruiz, FJR. & Valera (eds.). JMLR, 16 p. (Proceedings of Machine Learning Research; vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile5 Downloads (Pure) -
Using reference models in variable selection
Pavone, F., Piironen, J., Bürkner, P. C. & Vehtari, A., 14 May 2022, (E-pub ahead of print) In: Computational Statistics.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Amortized Bayesian Model Comparison With Evidential Deep Learning
Radev, S. T., D'Alessandro, M., Mertens, U. K., Voss, A., Kothe, U. & Burkner, P. C., 11 Nov 2021, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems .Research output: Contribution to journal › Article › Scientific › peer-review
Open Access
Datasets
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thurstonianIRT: Thurstonian IRT Models in R
Burkner, P. (Creator), 2019
DOI: 10.5281/zenodo.3515748, https://zenodo.org/record/3515749
Dataset