Projects 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):
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Collaborations and top research areas from the last five years
Projects
- 4 Finished
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Covert Networks: How to learn as much as possible about the structure of a network from sampled subnetworks
Schweinberger, M. (PI)
8/1/21 → 8/1/21
Project: Research project
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Statistical Inference for Networks with Complex Topological Structures
Schweinberger, M. (PI)
8/1/18 → 7/31/21
Project: Research project
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Longitudinal network and behavior data: Markov models and latent variables
Schweinberger, M. (PI)
Netherlands Organisation for Scientific Research (NWO)
7/1/07 → 6/30/09
Project: Research project
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A LATENT PROCESS MODEL FOR MONITORING PROGRESS TOWARD HARD-TO-MEASURE TARGETS WITH APPLICATIONS TO MENTAL HEALTH AND ONLINE EDUCATIONAL ASSESSMENTS
Jeon, M. & Schweinberger, M., Sep 2024, In: Annals of Applied Statistics. 18, 3, p. 2123-2146 24 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Strategic Model of Software Dependency Networks
Fritz, C., Georg, C. P., Mele, A. & Schweinberger, M., Dec 17 2024, EC 2024 - Proceedings of the 25th Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 863-892 30 p. (EC 2024 - Proceedings of the 25th Conference on Economics and Computation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Non-asymptotic model selection for models of network data with parameter vectors of increasing dimension
Eli, S. & Schweinberger, M., Dec 2024, In: Journal of Statistical Planning and Inference. 233, 106173.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens
Schweinberger, M. & Fritz, C., 2023, In: Journal of the American Statistical Association. 118, 544, p. 2225-2227 3 p.Research output: Contribution to journal › Comment/debate › peer-review
1 Scopus citations -
A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
Schweinberger, M., Bomiriya, R. P. & Babkin, S., 2022, In: Journal of Nonparametric Statistics. 34, 3, p. 628-662 35 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations