Welcome to the
Department of Statistical Sciences
at Wake Forest University
Mission Statement: The mission of the Department of Statistical Sciences is to educate students to become leaders and advocates for sound statistical reasoning, and to improve our society through innovative statistical and interdisciplinary research. To succeed in this mission, the Department will:
- Offer a premier undergraduate educational experience to Statistics, Applied Statistics and Mathematical Business majors, preparing each for successful careers as well as further graduate study.
- Offer a personalized Master’s program in Statistics, creating pathways into the field and opportunities for mentored research.
- Contribute to the advancement of the statistical sciences through peer-reviewed research and scientific collaborations across disciplines.
- Support the wider Wake Forest community with high quality general statistics education offerings.
- Colloquium: Merging uncertainty sets via majority voteMerging uncertainty sets via majority voteAaditya Ramdas, PhD, Carnegie Mellon UniversityTuesday, February 276h 11:00am Given K uncertainty sets that are arbitrarily dependent – for example, confidence intervals for an unknown parameter obtained with K different estimators, or prediction sets obtained via conformal prediction based on K different algorithms on shared data — we address the […]
- Congratulations to Grad Students Mullan and WilesAshley Mullan has been selected by the Department of Statistical Sciences as the recipient of the Graduate Student Award for Outstanding Scholarship in the Statistical Sciences for 2024. Melita Wiles has been selected by the Department of Statistical Sciences as the recipient of the 2024 Department of Statistical Sciences Distinguished Teaching Assistant Award.
- Colloquium: What is a second-generation p-value, and why should you care?Jeffrey Blume, PhD, University of VirginiaZSR Auditorium. Tuesday, February 6th 11:00am Despite decades of controversy, p-values remain a popular tool for assessing when the data are incompatible with the null hypothesis. While it is widely recognized that p-values are imperfect, the consequences of ignoring their flaws remain elusive and p-values continue to flourish in the […]
- Colloquium: Text analytics and data acumenNicholas Horton, PhD, Amherst College ZSR Auditorium, Tuesday, January 23rd 11:00am 60 years ago, Fred Mosteller and David Wallace published a paper in JASA that made inferences in an important authorship problem: the Federalist papers. Notwithstanding this groundbreaking work, text continues to be an important example of unstructured data that has traditionally been nearly absent […]
- Colloquium: Operating under uncertainty:Statistical thinking in the earlystages of the COVID-19 pandemicDavid Kline, PhDWake Forest University School of MedicineOperating under uncertainty: Statistical thinking in the early stages of the COVID-19 pandemic ZSR AuditoriumTuesday, November 14th 11:00am The COVID-19 pandemic impacted all of our lives and reporting on epidemiological data became almost a routine, daily occurrence. In 2020, I was on the Ohio State Comprehensive Monitoring Team […]