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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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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Causal Inference under Interference: External Validity
Schweinberger, M. (PI) & Jrstewart@fsuedu, J. R. S. (CoPI)
9/1/25 → 8/31/28
Project: Research project
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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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Pseudo-likelihood-based M-estimation of random graphs with dependent edges and parameter vectors of increasing dimension
Stewart, J. R. & Schweinberger, M., 2026, In: Annals of Statistics. 54, 1, p. 74 92 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
A continuous-time stochastic process for high-resolution network data in sports
Grieshop, N., Feng, Y., Hu, G. & Schweinberger, M., 2025, In: Statistica Sinica. 35, p. 1899 1916 p.Research output: Contribution to journal › Article › peer-review
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A Socio-demographic Latent Space Approach to Spatial Data When Geography Is Important But not All-Important
Nandy, S., Holan, S. H. & Schweinberger, M., 2025, In: International Statistical Review. 93, 3, p. 351 373 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Rejoinder: A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important
Nandy, S., Holan, S. H. & Schweinberger, M., Dec 2025, In: International Statistical Review. 93, 3, p. 380-384 5 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
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
Open Access3 Link opens in a new tab Scopus citations