Fields Notes Summer/Fall 2019 2 | Page 20

LIFE AT FIELDS Statistics Graduate Student Research Day April 25, 2019 • Fields Institute Organizers: Michaël Lalancette, Radu Craiu, Kamal Ra, Jeffrey Rosenthal, Qiang Sun, Stanislav   Volgushev, and Zhou Zhou (University   of   Toronto) The Statistics Graduate Research Day is an annual one-day conference organized by the Department of Statistical Sciences (DOSS) at the University of Toronto and the Statistics Graduate Students Union. First organized in 2009, the event offers graduate students an opportunity to learn from and be introduced to leading experts, and to present their work in either a talk or poster competition. The 2019 edition of Research Day focused on high-dimensional inference and computation, and their applications to big data. The slate of speakers at the event was of exceptionally high stature and included a recipient of the 2018 COPSS award, Richard Samworth, who presented the idea of shape-constrained non-parametric density estimation with an emphasis on high‑dimensional log-concave densities. Biostatistician Bhramar Mukherjee spoke of the ongoing and unprecedented information and data revolution and the potential impact on the field, particularly for those who are classically trained. The audience also heard from Edward George, whose talk demonstrated how the spike-and-slab methodology often used in Bayesian variable selection can be used for likelihood-based estimation and variable selection in a linear regression framework. The final speaker of the day, Elizabeth Schifano, outlined recent work in the analysis of big stream data, defined as large amounts of data being received in streams, with a particular focus on survival data. Developing methodology in the 18 framework of big data requires significant thought to produce statistically sound inference in a computationally feasible way. Students from DOSS made presentations that exposed the audience to the promising statistical research done at the University of Toronto on subjects including learning theory, mathematical finance, Bayesian non- parametric estimation, and survey sampling theory. Graduate students also showcased their research in a poster competition. Feedback from the participants, including the esteemed invited speakers, praised the organization of the conference, the quality of the research presented, and the fruitful exchange between participants. 