Publications and Presentations

Publications:

  •  Sewell, D. K. and Chen, Y. (2014). Latent space models for dynamic networks. Accepted at Journal of the American Statistical Association. DOI: 10.1080/01621459.2014.988214
  • Sewell, D. K.and Y. Chen (2014). Analysis of the formation of the structure of social networks using latent space models for ranked dynamic networks. Accepted at Journal of the Royal Statistical Society. Series C. DOI: 10.1111/rssc.12093
  • Dore, K. M., Sewell, D. K., Mattenet, E. and Turner, T. R. (2014). GIS and GPS techniques in an ethnoprimatological investigation of St. Kitts vervet monkey (Chlorocebus aethiops sabaeus) crop-raiding behavior. In GIS and GPS in Primatology. Cambridge: Cambridge University Press.
  • Sewell, D. K., Chen, Y., Bernhard, W. and Sulkin, T. (2014). Model-based longitudinal clustering. Accepted at Statistica Sinica.
  • Sewell, D. K. and Chen, Y. (2014). Latent space models for dynamic networks with weighted edges. Invited revision.
  • Sewell, D. K. and Chen, Y. (2014). Community detection in dynamic networks. Submitted.
  • Bernhard, W., Sulkin, T., and Sewell, D. K. (2014). Explaining legislative style in the House of Representatives. Submitted.
  • Sewell, D. K., Kim, H., Ha, T. and Ma, P. (2013). A parameter estimation method for single molecule fluorescence lifetime data. Accepted at BMC Research Notes.
  • Sewell, D. K., and Chen, Y. (2014). Deriving the harmonic mean estimator via discrete approximation of the parameter space. Technical Report.

Presentations:

  • Presentation on “Detecting Influence in Dynamic Networks,” Joint Statistical Meetings, Boston, MA, August 2014.
  • Invited Presentation on “Latent Space Models for Dynamic Networks,” Midwest Statistics Research Colloquium, Chicago IL, March 2014.
  • Presentation on “Latent Space Models for Dynamic Networks,” Bohrer Workshop in Statistics, Department of Statistics, University of Illinois at Urbana-Champaign, November 2013.
  • Presentation on “A Parameter Estimation Method for Single Molecule Fluorescence Lifetime Data,” Bohrer Workshop in Statistics, Department of Statistics, University of Illinois at Urbana-Champaign, November 2011.