Nicholas Syring

Syring, N., & Martin, R. (2023). Gibbs posterior concentration rates under sub-exponential type losses. BERNOULLI, 29(2), 1080–1108. https://doi.org/10.3150/22-BEJ1491

Martin, R., & Syring, N. (2022). Direct Gibbs posterior inference on risk minimizers: Construction, concentration, and calibration. ADVANCEMENTS IN BAYESIAN METHODS AND IMPLEMENTATION, Vol. 47, pp. 1–41. https://doi.org/10.1016/bs.host.2022.06.004

Syring, N., & Martin, R. (2020). ROBUST AND RATE-OPTIMAL GIBBS POSTERIOR INFERENCE ON THE BOUNDARY OF A NOISY IMAGE. ANNALS OF STATISTICS, 48(3), 1498–1513. https://doi.org/10.1214/19-AOS1856

Syring, N., Hong, L., & Martin, R. (2019). Gibbs posterior inference on value-at-risk. SCANDINAVIAN ACTUARIAL JOURNAL, (7), 548–557. https://doi.org/10.1080/03461238.2019.1573754

Syring, N., & Martin, R. (2019). Miscellanea Calibrating general posterior credible regions. BIOMETRIKA, 106(2), 479–486. https://doi.org/10.1093/biomet/asy054

Liu, C., Martin, R., & Syring, N. (2017). Efficient simulation from a gamma distribution with small shape parameter. COMPUTATIONAL STATISTICS, 32(4), 1767–1775. https://doi.org/10.1007/s00180-016-0692-0

Syring, N., & Martin, R. (2017). Gibbs posterior inference on the minimum clinically important difference. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 187, 67–77. https://doi.org/10.1016/j.jspi.2017.03.001