Publications
  • Yanchenko, E., Murata, T. and Holme, P. (2023+) Link prediction for ex ante influence maximization on temporal networks, arXiv link: https://arxiv.org/abs/2305.09965
  • Yanchenko, E. and Sengupta, S. (2023) Core-periphery structure in networks: a statistical exposition, Statistics Surveys​, 17, 42-74. https://doi.org/10.1214/23-SS141 
  • Yanchenko, E., Bondell, H.D. and Reich, B.J. (2023+) R2D2 goes to space! A principled approach to setting prior distributions on spatial parameters, arXiv link: https://arxiv.org/abs/2301.09951
  • Yanchenko, E. (2022) A divide-and-conquer algorithm for core-periphery identification in large networks. Stat. pp. e475.​ https://doi.org/10.1002/sta4.475
  • Swaminathan, A.C., Snyder, L.D., Hong, H., Stevens, S.R., Long, A.S., Yanchenko, E., Qiu, Y., Liu, R., Zhang, H., Fischer, A., Burns, L., Wruck, L., Palmer, S.M. (2022+) Generalizability of External Clinical Trial and Electronic Health Record Control Arms in Idiopathic Pulmonary Fibrosis. ​In review.
  • Yanchenko, E. (2022) Quantifying the presence/absence of meso-scale structures in networks, arXiv link: ​arxiv.org/abs/2203.16620
  • Yanchenko, E., Bondell, H.D. and Reich, B.J. (2021+) The R2D2 prior for generalized linear mixed models, arXiv link: arxiv.org/abs/2111.10718
  • Yanchenko, E. and Sengupta, S. (2021+) A generalized hypothesis test for community structure in networks​, arXiv link: arxiv.org/abs/2107.06093

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​​Presentations
  • Comparing Bayesian methods for combining multiple historical controls in clinical trials, Annual Meeting of the Japanese Society of Biometrics, Sapporo, Japan, 2023
  • The R2D2 prior for generalized linear mixed models, Faculty of Economics, The University of Tokyo, Tokyo, Japan, 2023 
  • A generalized hypothesis test for community structure in networks, Center for Computational Social Science, Kobe University, Kobe, Japan, 2023
  • A divide-and-conquer algorithm for core-periphery identification in large networks, Invited talk, North Carolina State University, Raleigh, NC, ​2022
  • A divide-and-conquer algorithm for core-periphery identification in large networks (poster), SRCOS Summer Research Conference, Jekyll Island, GA, ​2022
  • A generalized hypothesis test for community structure and homophily in networks, Sunbelt 2022, International Network for Social Network Analysis, Cairns, Australia, 2022.
  • Quantifying the presence/absence of meso-scale structures in networks, North Carolina State University​, Raleigh, NC, 2022.
  • A model-agnostic hypothesis test for community structure and homophily in networks (poster), SRCOS Summer Research Conference, Jekyll Island, GA, 2021. ​Poster link. (won best graduate student poster)
  • A model-agnostic hypothesis test for community structure and homophily in networks, Joint Statistical Meeting, Seattle, WA, 2021. Recording link. Slides link.
  • Big Data Summer Institute Symposium and Poster Presentation, Department of Biostatistics, University of Michigan, 2018. Poster link.

Physics Publications
  • Asel, T., Yanchenko, E., Yang, X., Jiang, S., Krymowski, K., Wang, Y., Trout, A., McComb, D., Windl, W., Goldberger, J., Brillson, L., (2018) Identification of Ge Vacancies as Electronic Defects in Methyl- and Hydrogen-Terminated Germanane, Appl. Phys. Lett., 113, 061110. 
  • Jiang, S., Krymowski, K., Asel, T., Arguilla, M., Cultrara, N., Yanchenko, E., Yang, X., Brillson, L., Windl W., Goldberger, J.G., (2016) Tailoring the Electronic Structure of Covalently Functionalized Germanane via the Interplay of Ligand Strain and Electronegativity, Chem. Mat., 28, 8071-8077.