Classical statistical inference relies on numerous tools from probability theory to study the properties of estimators. However, these same tools are often inadequate to study modern machine problems… read more about Asymptotics of learning on dependent and structured random objects »
Archaeology provides a unique opportunity to reconstruct the past and study human activity through the recovery and analysis of material culture. For instance, written material contains a lot of… read more about Data Dialogue: From Ink Traces on clay Sherds to the Literacy Rate in the Iron Age using Mathematical Tools »
Lecture part of Research Week 2022, Duke's week-long celebration of research. Join us January 31 through February 4 at dukeresearchweek.vfairs.com. read more about Enhancing the Research Enterprise at Duke »
84.51° is a retail data science, insights and media company strategically aligned with Kroger, and many of our research problems are driven by Kroger needs. This often comes down to three core… read more about Data Science for Retail: Forecasting, Optimization, and Measurement »
Co-Sponsored by the Master in Interdisciplinary Data Science programEmployer representatives/experts will virtually engage with Master's students in Data Science (MIDS) and Statistical Science while… read more about 2022 Virtual Industry Day »
The Research Week Climate Panels will highlight the convergence of disciplines necessary to mitigate the effects of and adapt to climate change as we consider consequences across our global community… read more about Climate Change Science »
Join us virtually for this week-long celebration of research including an exciting array of faculty lectures and panel discussions; graduate student, trainee, and postdoctoral fellow flash talks; and… read more about Duke Research Week 2022 »
Friday 4 March is the deadline for sophomores to declare a major. Here's the process. If you are ready, why not go ahead and declare now? If you are getting ready to declare… read more about Sophomores! Ready to declare a major? »
Social media sites are often blamed for exacerbating political polarization by creating "echo chambers" that prevent people from being exposed to information that contradicts their preexisting… read more about Experimental design for studying political polarization »
Open to all MS students. If you are not already registered, use the "More Information" button to register. In this second workshop, with the right mindset and self-awareness that we developed from… read more about Salary Negotiations Workshop »
Since their creation nearly 70 years ago, Reed-Muller codes have been used to help transmit data in wireless communication, particularly in deep-space applications. However, the question of whether… read more about Reed-Muller codes achieve capacity on BMS channels »
Data+ is a full-time ten week summer research experience that welcomes Duke undergraduate and masters students interested in exploring new data-driven approaches to interdisciplinary challenges. It… read more about Data+ 2022 Information Fair »
In this session, Sunith broadly discuss his experience in building AI software for the enterprise. Along the way, he will share some thoughts on career success for entry-level data scientists.Bio:… read more about Data Science for the Enterprise »
One hour, one dataset, a pair of programmers. In each episode Dr. Mine Çetinkaya-Rundel will team up with an undergraduate student to collaboratively explore and visualize a dataset with the goal of… read more about CCT vLE: Coding out loud, Episode 2 »
Abstract Thanks to neural networks (NNs), faster computation, and massive datasets, machine learning (ML) is under increasing pressure to provide automated solutions to even harder real-world tasks… read more about Optimization Challenges in Adversarial Machine Learning »
Probability surveys are an essential source of data for the public good. Not only are survey estimates valuable in their own regard for multiple purposes, but probability-based survey data can be… read more about Survey data science and reducing nonresponse bias »
One hour, one dataset, a pair of programmers. In each episode Dr. Mine Çetinkaya-Rundel will team up with an undergraduate student to collaboratively explore and visualize a dataset with the goal of… read more about CCT vLE:Coding out loud, Episode 1 »
Curse of dimensionality refers to sparse phenomena of high-dimensional data, and it presents substantial challenges in the theory and computation of nonparametric models. In this talk I will present… read more about Sparse and Smooth Function Estimation in Reproducing Kernel Hilbert Spaces »
Come learn about the Statistical Science MS and Ph.D programs! read more about MS and Ph.D. Admissions Information Session »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Multivariate Dynamic Modeling and Bayesian Decision Analysis for Macroeconomic Policy »
Ethical AI & Data Science: As statisticians, data scientists, students, and teachers, we collect data, store data, transform data, visualize data, and ultimately impact how data are used. With… read more about Ethical AI & Data Science »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Hierarchical Time Series Modeling with Business & Audio Applications »
Join us on Tuesday, November 16th 5:30-6:30pm, for a virtual info session with Wells Fargo! Panelists will briefly share their education/career path and current "day in the life of" work team/project… read more about Virtual info session with Wells Fargo! »
Contemporary technologies for recording neural activity from an alert animal have created great scientific opportunities and substantial data analytic challenges. One of the big opportunities is to… read more about Statistical Assessment of Interaction Among Brain Regions from Multielectrode Recordings »
Keynote Industry Careers Panel Mock Interviews Ph.D., Careers read more about Alumni Day »