CV
A PDF of my CV can be found [HERE].
Employment
- (Aug. 2020 - Present) Assistant Professor (tenure-track), Department of Statistics, Florida State University
Education
- Ph.D., in Statistics, Rice University, 2020
- M.A., in Statistics, Rice University, 2018
- B.A., in Statistics, Rice University, 2013
Published papers and papers in press
- Babkin, S., Stewart, J., Long, X., and Schweinberger, M. Large-scale estimation of random graph models with local dependence. Computational Statistics and Data Analysis, (2020), 107029. [PDF]
- Schweinberger, M., Krivitsky, P., Butts, C., T., and Stewart, J. Exponential-family models of random graphs: Inference in finite-, super-, and infinite-population scenarios. Statistical Science, 35 (4) (2020), 627-662. [PDF]
- Stewart, J. Consistent estimation of high-dimensional random graph models with dependent edge variables. Ph.D. Thesis, Rice University, (2020).
- Schweinberger, M. and Stewart, J. Concentration and consistency results for canonical and curved exponential-family models of random graphs. The Annals of Statistics, 48 (2020), 374-396. [PDF]
- Stewart, J., Schweinberger, M., Morris, M., and Bojanowski, M. Multilevel network data facilitate statistical inference for curved ergms with geometrically weighted terms. Social Networks, 59 (2019), 98-119. [PDF]
- Campbell, I. M., Stewart, J. R., James, R. A., Lupski, J. R., Stankiewicz, P., Olofsson, P., and Shaw, C. A. Parent of origin, mosaicism, and recurrence risk: Probabilistic modeling explains the broken symmetry of transmission genetics. The American Journal of Human Genetics, 95 (4) (2014), 345-359. [PDF]
Papers in preparation
- Stewart, J. R. and Schweinberger, M. Pseudo-likelihood-based M-estimation of random graphs with dependent edges and parameter vectors of increasing dimension, in preparation (2021+). [Preprint]
Invited talks
- 2020 International Conference on Computational and Methodological Statistics (CMStatistics), virtual
Maximum pseudolikelihood estimation for models of social network data - 2020 Department of Statistics, Florida State University, Tallahassee, FL
Scalable and consistent estimation of random graph models using the pseudolikelihood - 2020 Joint Statistical Meetings, delivered virtually
A Probabilistic Framework for Models of Dependent Network Data, with applications to brokerage in social networks - 2020 Department of Mathematics, Tulane University, New Orleans, LA
A Probabilistic Framework for Models of Dependent Network Data, with Statistical Guarantees - 2020 Department of Statistics and Data Science, Cornell University, Ithaca, NY
A Probabilistic Framework for Models of Dependent Network Data, with Statistical Guarantees - 2020 Department of Statistical Science, Southern Methodist University, Dallas, TX
A Probabilistic Framework for Models of Dependent Network Data, with Statistical Guarantees - 2020 Department of Statistics, Florida State University, Tallahassee, FL
A Probabilistic Framework for Models of Dependent Network Data, with Statistical Guarantees - 2019 International Conference on Computational and Methodological Statistics (CMStatistics), London, UK
Generalized β-models with dependent edges and parameter vectors of increasing dimension
Contributed talks
- 2019 International Sunbelt Social Network Conference, Montreal, CA
Multilevel ERGMs with overlapping subsets of nodes: models, methods, and statistical theory - 2012 Joint Statistical Meeting (JSM), Section on Statistical Graphics, San Diego
Graphical inference and the hanging rootogram
Honors
- Inaugural winner of the 2019 James R. Thompson Student Award, Rice University
Awarded annually to up to two Ph.D. students in the Department of Statistics for excellence in research - Travel Award, Department of Statistics, Rice University
Funding to attend and present at the 2019 CMStatistics conference in London - Travel Award, International Network for Social Network Analysis
Funding to attend and present at the 2019 INSNA Sunbelt conference in Montreal - Travel Award, Department of Statistics, Rice University
Funding to attend and present at the 2019 INSNA Sunbelt conference in Montreal