Home Research Teaching CV

Published or accepted

• N. Syring and M. Li. BayesBD: An R Package for Bayesian Inference on Image Boundaries. R Journal. (2017+).

• N. Syring and R. Martin. Gibbs Posterior Inference on the Minimum Clinically Important Difference. Journal of Statistical Planning and Inference. 187 (2017): 67-77.  [online]

• C. Liu, R. Martin, and N. Syring. Efficient Simulation from a Gamma Distribution with Small Shape Parameter. Comput. Stat. (2016).  [online]

Papers submitted or under revision

• Calibrating general posterior credible regions, with Ryan Martin.  [arXiv]

• Robust and rate-optimal Gibbs posterior inference on the boundary of a noisy image, with Ryan Martin.  [arXiv]

Software

• R Package BayesBD.

  Paper: "BayesBD: An R Package for Bayesian Inference on Image Boundaries."
    CRAN BayesBD

• Gibbs posterior scaling algorithm.

  Paper: "Scaling the Gibbs posterior credible regions"
  Downloadable file:   gps_qr.R

• Gamma distribution with small shape parameter.

  Paper: "Simulating from gamma distribution with small shape parameter"
  Downloadable file:   rgamss.R

Some presentations

• Joint Statistical Meetings Invited Poster Presentation.
  "Inferential Models for Instrumental Variables"
  JSM Baltimore, July, 2017.

• Summer Research Conference.
  "Image Boundary Detection via a Gibbs Model"
  Illinois Institute of Technology, May, 2016.

• Undergraduate Mathematics Seminar.
  "Misspecified Statistical Models: What happens when the model is wrong?"
  Wheaton College, November, 2015.

• Statistics Seminar.
  "Scaling the Gibbs posterior."
  University of Illinois at Chicago, September, 2015.

• Statistics Seminar.
  "On Bayesian inference without a model."
  University of Illinois at Chicago, November, 2014.