If you're an undergraduate at Duke and a female and doing research at Duke, I would like to encourage you to apply to give a spotlight presentation at Duke Undergraduate Machine Learning Day.
MS and PhD students can also apply, but first priority will be given to undergraduate students.
If you're interested in giving a poster presentation on your work, I'd also like to encourage you to submit a poster based upon your research at this event.
There will be prizes to all the top spotlight… read more about Machine Learning Day - Saturday, March 23, 2019 News »
Justice by the Numbers: Meet the Statistician trying to fix Bias in Criminal Justice Algorithms
When the underlying data they rely on is incomplete—and it often is—the growing use of machine learning tools in America's criminal justice system can have devastating effects read more about Alumna Kristian Lum in the News »
Abbas Zaidi was awarded Best Student Paper award titled GaussianProcess Mixtures for EstimatingHeterogeneousTreatmentEffects
The Business and Economic Statistics Section (B&E) of the American Statistical Association (ASA) offers this award for student members in doctoral programs in business, economics, econometrics, statistics, or… read more about Abbas Zaidi receives JSM 2019 Best Student Paper Award »
Please save the date for DataFest 2019, which will be held over the April 5-7 weekend at Penn Pavillion. More information to follow in the next month. We'll post updates at https://www2.stat.duke.edu/datafest/ read more about DataFest 2019 has been scheduled! »
Mike West, the Arts & Sciences Professor of Statistics & Decision Sciences in the Department of Statistical Science at Duke University, is the recipient of the 2018 Akaike Memorial Lecture Award. Professor West, was selected to receive the award and present the Akaike Memorial Lecture at the Japanese Joint Statistical Meetings in Tokyo this September. The Award recognized Mike as “one of the pioneers who have led the field of the Bayesian statistics” and who has “significantly influenced the development of the… read more about Mike West Receives Akaike Award »
DURHAM, N.C. -- Since it began in 2011, the Syrian Civil War has left hundreds of thousands of people dead. But as the conflict continues, many monitoring groups say they are starting to lose count of the bodies.
Realities on the ground make it increasingly hard to pinpoint precise numbers -- so much so that in 2014 the United Nations announced it would stop updating its death toll due to accuracy concerns.
But some researchers are determined to do the best they can to keep Syria’s death count -- which may have reached half… read more about Making Sense of Syria's Murky Death Toll »
The University of Florida recognized alumnus Beka Steorts for her statistical work on humanitarian efforts, specifically regarding the ongoing conflict in Syria. https://publications.clas.ufl.edu/ytori-magazine/ytori-fall-2017/beka-steorts/
Beka was also featured in Duke Today about her 5 years using machine learning to assess the death toll in the Syrian Civil War. https://today.duke.edu/2018/09/making-sense-syrias-murky-death-toll
read more about Beka Steorts Uses Stats for Humanitarian Purposes »
The Department of Statistical Science at Duke University invites applications for open rank faculty position as Professor of the Practice to begin in Fall 2019. This position is a regular rank faculty with a term renewable appointment. Preference will be given to candidates demonstrating outstanding teaching and strong interests in data science education and developing and growing our undergraduate major in Statistical Science and interdepartmental major in Data Science.
The Department is an internationally recognized… read more about Open Rank Professor of the Practice »
Lorin Crawford (Duke PhD 2018) received the 2017 Savage Award in Applied Methodology at the 2018 World Meeting of the International Society for Bayesian Analysis for his outstanding dissertation Bayesian Kernel Models for Statistical Genetics and Cancer Genomics.
The Savage Award, named in honor of Leonard J. “Jimmie” Savage, is bestowed each year to two outstanding doctoral dissertations in Bayesian econometrics and statistics, one each in: Theory and Methods: for a dissertation that makes… read more about Lorin Crawford Receives Savage Award for Outstanding Dissertation »
Jim Berger was awarded the Zellner Medal from the International Society of Bayesian Analysis at the 2018 World Meeting in Edinburgh, Scotland. The Zellner Medal honors Arnold Zellner, one of the founders of ISBA and ISBA’s first president. The purpose of the Zellner Medal is to recognize ISBA members who have rendered exceptional and distinguished service to ISBA over an extended period of time, and whose contributions have had an impact on the society beyond the time of his or her incumbency.
The citation for the award… read more about Jim Berger Awarded Zellner Medal from the International Society for Bayesian Analysis »
David Banks, and coauthors Jesus Rios, and David Rios Insua were awarded the DeGroot Prize for their book, Adversarial Risk Analysis published by CRC Press.
The Prize is named for Morris H. (“Morrie”) DeGroot, and recognizes the impact and importance of his work in Statistics and Decision Theory, and his marked influence on the evolution of the discipline over several decades through his personal scholarship, educational and professional leadership. The prize particularly recognizes DeGroot’s authorship and… read more about David Banks Awarded DeGroot Prize from the International Society for Bayesian Analysis »
Jerry Reiter will be the next editor of Statistics and Public Policy, an open access journal of the American Statistical Association. The journal publishes papers that apply statistical methods to answer problems in public policy or relevant political science. Jerry is professor and associate chair of Statistical Science, and Deputy Director of the Information Initiative at Duke. read more about Jerry Reiter named editor of Statistics and Public Policy »
Sayan Mukherjee, Professor. Duke University, has been named Fellow of the Institute of Mathematical Statistics (IMS). An induction ceremony will take place on July 2, 2018, at the IMS Annual Meeting in Vilnius, Lithuania.
Dr. Mukherjee received the award for significant contributions to mathematical statistics, including kernel methodology, distributions on manifolds, and inference for dynamical systems, and for extensive work in computational biology and genomics.
Each Fellow nominee is assessed by a committee of his/her… read more about Sayan Mukherjee Named IMS Fellow »
Peter Hoff, Professor of Statistical Science, Duke University, has been named Fellow of the Institute of Mathematical Statistics (IMS). An induction ceremony will take place on July 2, 2018, at the IMS Annual Meeting in Vilnius, Lithuania.
Dr. Hoff received the award for sustained and important contributions to sparse, interval and spectral estimation, for applied work in the area of networks and for service to the IMS through editorial responsibilities.
Each Fellow nominee is assessed by a committee of his/her peers… read more about Peter Hoff Named IMS Fellow »
Duke University awarded distinguished professorships to 26 members of its faculty May 2 at the annual University Distinguished Professors dinner, including Amy Herring, from Statistical Science, who will become the Sara and Charles Ayres Professor of Statistical Science, effective July 1, 2018. https://today.duke.edu/2018/05/duke-awards-distinguished-professors-26-f...
Congratulations Amy! read more about Amy Herring Awarded Distinguished Professor »
Peter Hoff has been selected as a Fellow of the American Statistical Association. The ASA selects up to one third of one percent of its members as fellows, in recognition of "outstanding contributions to statistical science." read more about Peter Hoff designated an ASA Fellow »
Elizabeth C. Lorenzi received an honorable mention for the ASA Cox Scholarship Award. She is pursuing a PhD in Statistics at Duke University. She has excelled in both academics and research. Most extraordinarily, she has grown a statistical research project on prediction of complications after surgery into a funded start-up business that is installing working software in health care settings. This business helps surgeons make real world treatment decisions to help patients. Elizabeth is continuing to develop statistical… read more about Elizabeth Lorenzi Received Honorable Mention for the ASA Cox Scholarship Award »
Saturday, March 31, 2018 | Gross Hall, Duke University
9am: Registration and breakfast
10am: Introduction and keynote
12pm: Networking lunch
3pm: Research spotlight
4pm: Panel discussions
Come to Duke's first-ever Machine Learning Day, for undergraduates, on Saturday, March 31 in Gross Hall! At ML Day, you'll have the opportunity… read more about Duke Undergraduate Machine Learning Day »
Sponsor: Alibaba Innovative Research
Title: Scalable probabilistic inference for huge multi-domain graphs
“There has been abundant interest in recent years in developing improved models and algorithms for analysis of very large graphs or networks. There has been a dual focus on developing models that can accurately characterize real-world network data and on developing algorithms for efficient inference. Modeling strategies range from elaborations on stochastic block models (SBMs), which break nodes of… read more about David Dunson wins awards »
DataFest 2018 registration is now open, you can sign up at this link.! Seats are limited, don't wait till the last minute!
ASA DataFest is a data analysis competition where teams of up to five students attack a large, complex, and surprise dataset over a weekend. Your job is to represent your school by finding and communicating insights into these data. The teams that impress the judges will win prizes as well as glory for their school. Everyone will have a great experience, lots of food, and fun!
We'll have another… read more about DataFest 2018 registration open »
The title of the project is: “An Integrated Nonparametric Bayesian and Deep Neural Network Framework for Biologically-Inspired Lifelong Learning” with MIT and UC Berkeley.
There have been remarkable advances in recent years using deep neural networks, but generalizing them to new situations has proven significantly more difficult, presenting barriers to the creation of many of the artificial-intelligence-based systems. In order to create systems that are capable of learning continually, generalizing to novel situations,… read more about Katherine Heller receives DARPA award »