Dr. Zachary Abzug, Manager, Vectra AI and Daniel Salo, Manager, Proofpoint Have you ever trained a perfect classification model on the Iris dataset on your laptop in eight lines of… read more about Machine Learning Metamorphosis: Breaking Models Out from your Local Machine and Releasing them into the Cloud »
Randomized experiments allow for consistent estimation of the average treatment effect based on the difference in mean outcomes without strong modeling assumptions. Appropriate use of pretreatment… read more about To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates »
We develop the sparse VAE for unsupervised representation learning on high-dimensional data. The sparse VAE learns a set of latent factors (representations) which summarize the associations in the… read more about Identifiable Deep Generative Models via Sparse Decoding »
Professor Jerry Reiter will present the annual ASA Links Lecture, discussing integration of data from multiple sources, often known as data blending, which is a core activity for many statistical… read more about Links Lecture: "Protecting Privacy in a Blended Data World" »
This in-person Researcher Fundamentals session is designed to familiarize faculty investigators with navigating various research enterprise tools, resources and services at Duke through the… read more about Navigating Research at Duke: The myRESEARCH Suite Advantage - Duke Researcher Fundamentals Session »
This in-person Researcher Fundamentals session will explore the importance of diversity in the workplace and provide practical tips and best practices for creating a more inclusive and equitable work… read more about Effective Strategies for Workforce Diversity Development - Duke Researcher Fundamentals Session »
Electronic recordkeeping is an important aspect of modern research, and LabArchives is a useful tool for managing research data and documents. In this in-person Researcher Fundamentals session,… read more about Electronic Recordkeeping Featuring LabArchives - Duke Researcher Fundamentals Session »
In this talk I will give an overview of my two main lines of research, Bayesian nonparametric modelling and theory of Bayesian computation, by discussing hierarchical models, widely applied… read more about Hierarchical Structures in Bayesian Statistics »
Students, come learn about Duke's summer +Programs on Thursday, January 19 from 11am - 1pm at the Gross Hall Energy Hub (West Campus)! Representatives from Data+, Code+, CS+, Climate+ and Applied… read more about PLUS PROGRAMS 2023 INFORMATION FAIR »
Variables contained within the global oceans can detect and reveal the effects of the warming climate as the oceans absorb huge amounts of solar energy. Hence, information regarding the joint spatial… read more about 3D Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity Profiles »
Several fields of science are experiencing a massive growth in the complexity and size of data being collected. In forestry, ecology and the environmental health sciences, satellite images, remotely… read more about Make your own kind of sparse DAG; Fit your own special scalable Gaussian process. Bayesian geostatistics for massive data »
In the world of Pokémon, trainers often rely on their trusty Pokémon to battle against other trainers and their Pokémon. However, when a trainer wants to defeat a particularly powerful opponent, they… read more about iiD Seminar: Fast Matrix Multiplication That Does Not Slow Down »
Factor models are widely used for dimension reduction in the analysis of multivariate data. This is achieved through decomposition of a p x p covariance matrix into the sum of two components. Through… read more about Structured prior distributions for the covariance matrix in latent factor models »
This talk contributes to a fine-grained understanding of the random forests algorithm by discussing its consistency and variable selection properties in a general high-dimensional nonparametric… read more about High Dimensional Random Forests Estimation and Inference »
Statistical Science faculty members, Dr. Eric Laber and Dr. Yue Jiang will join the Proseminar to talk about their personal/professional history, research interests, potential research topics with… read more about StatSci Faculty Lightning Research Talks »
Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding Mediation analysis assesses the extent to which the treatment affects the outcome indirectly… read more about Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding »
Curious About PopHealth? Attend a Beginner's Guide to Population Health!Population health, you've probably heard about it-but what is it exactly, and what makes it different from other health… read more about Beginners Guide to Population Health »
The Duke AI Health Data Science Fellowship Program is a 2-year training program in data science with direct application for healthcare. Designed for early-career data scientists with strong… read more about Data Science Fellowship Program »
Representation learning constructs low-dimensional representations tosummarize essential features of high-dimensional data like images andtexts. Ideally, such a representation should efficiently… read more about Representation Learning: A Causal Perspective »
If you are thinking of applying for Ph.D. programs, this is a great opportunity to hear more about Ph.D. programs and how to build a strong application. Reviewers will sit with applicants, review… read more about Ph.D. Applications Review Session »
Statistical practitioners face difficult conversations in their interactions with their clients and collaborators. The topics of these conversations vary widely, from completion timelines to the use… read more about Training the Next Generation of Collaborative Statisticians »
This is the third of three Department of Statistical Science Spring Registration information sessions for undergraduate students who are not yet majors or who have questions about our courses. … read more about Spring Registration Info Session »
Nonsense associations can arise when an exposure and an outcome of interest exhibit similar patterns of dependence. Confounding is present when potential outcomes are not independent of treatment.… read more about Disentangling confounding and nonsense associations due to dependence »
The Duke Master in Interdisciplinary Data Science and Master in Statistical Science programs are teaming up to provide our first ever in-person Career Fair this November on Duke's beautiful campus!… read more about Duke MIDS and MSS Career Fair: November 2022 »
Will Barfield, President & CEO of Barfield Revenue Consulting, has been working in the recruiting industry for over 18 years, and his primary focus has been on staffing positions for fast-growing… read more about Networking & Interviewing Skills »