Research

Evaluation

• Binette, O., S. A. York, E. Hickerson, Y. Baek, S. Madhavan and C. Jones. (2023) Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org. The American Statistician (to appear) [link]

• Binette, O., S. Madhavan, J. Butler, B.A. Card, E. Melluso and C. Jones. (2023) PatentsView-Evaluation: Evaluation Datasets and Tools to Advance Research on Inventor Name Disambiguation. arXiv e-prints, arxiv:2301.03591 [link]

Multiple systems estimation

• Binette, O. and Steorts, R. C. (2021) On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery. Journal of the Royal Statistical Society, Series A [link] [pdf]
• Binette, O. and Steorts, R. C. (2020) Discussion of read paper “Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches” by Bernard Silverman. Journal of the Royal Statistical Society Series A 183 (3). pp. 35 [link]

Entity resolution

• Binette, O. and Steorts, R. C. (2021) Modern Bayesian Entity Resolution. Wiley StatsRef [link]
• Binette, O. and Steorts, R. C. (2021) (Almost) All of Entity Resolution. Science Advances 8 (12) [link]

Bayesian nonparametrics

• Binette, O. and Pati, D. and Dunson, D. B. (2020) Bayesian Closed Surface Fitting Through Tensor Products. Journal of Machine Learning Research 21 (119) pp. 1-26 [pdf]

• Binette, O. (2019). A Note on Reverse Pinsker Inequalities. IEEE Transactions on Information Theory 65 (7). pp.4094-4096. [pdf]

• Binette, O. and Guillotte, S. (2019). Bayesian Nonparametrics for Directional Statistics. arXiv e-prints. arxiv:1807.00305. [pdf]