The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Nonparametric Mixture Models for Covariance Matrix Estimation and Hypothesis Testing with Applications in Neuroscience »
Presenters: Glenn Palmer and Christine ShenModerator: Aidan GleichSpeaker: Glenn PalmerTitle: Quantifying heterogeneity in sleep apnea severity using hierarchical Bayesian modelingAbstract:… read more about STA 701 Talks »
In many fields, including medicine, education, and public policy, researchers and practitioners are interested in determining what works for whom - in other words, identifying subgroups for whom… read more about Data integration approaches to estimate heterogeneous treatment effects »
Speakers: Steve Winter and John Miller Moderator: Derek Cho read more about STA 701 Talk »
Regularization plays a pivotal role in tackling challenging ill-posed problems by guiding solutions towards desired properties. This talk covers three key problems---sparse signal recovery, low-rank… read more about Two Tales of L1 Variants for Sparse Signal and Low-rank Tensor Recovery »
A significant challenge in vaccine design is the elicitation of broadly-neutralizing antibodies (bnAbs) to protect against viral escape. We are developing computational models of affinity maturation… read more about Randomized Algorithms, Bayesian Phylogenetics, and Computational Vaccine Design »
As part of Duke Centennial events, the department of Statistical Science is hosting a doctoral and postdoctoral research alumni symposium from Oct 31 through Nov 2 to celebrate the… read more about StatSci Research Alumni Symposium: A Posteriori Celebration of Statistical Science on Duke Centennial »
Speakers: Bo Liu and Jennifer KampeModerator: Vivek SinghSpeaker: Bo LiuTitle: Power and sample size calculation for propensity score analysis of observational studiesAbstract: Power and sample… read more about STA 701 Talk »
Mixtures of experts (MoEs), a class of statistical machine learning models that combine multiple models, known as experts, to form more complex and accurate models, have been combined into deep… read more about On Mixture of Experts in Large-Scale Statistical Machine Learning Applications »
ARDS, pneumonia, and sepsis are common critical illnesses with high mortality. The conditions are overlapping, and diagnosis, prognosis and prediction are all challenging. Decades of research has… read more about AI Health Virtual Seminar Series: Building a platform for discovery: the ARDS, Pneumonia and Sepsis Phenotyping Consortium »
Moderator: Gwen JacobsonSpeakers: Alexander Dombowsky and Yuren ZhouSpeaker: Alex DombowskyTitle: Bayesian Clustering via Fusing of Localized DensitiesAbstract: Bayesian clustering typically relies… read more about STA 701 Talk »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Advances in Efficient and Scalable Bayesian Record Linkage »
Across the physical sciences, there has been a shift in paradigm from a theory-driven to a data-driven era. In this new regime, we let the data speak for themselves by using modern machine learning… read more about Phystatistics: The Rise of the Data Physicist »
Society for Women in Science: Women in the History of Quantum PhysicsPhysics building Room 130October 16, 3:30 pm - 4:30 pmSpeaker(s): Daniela MonaldiThe book Women in the History of Quantum Physics… read more about Wed Oct 16 Talk by Society for Women in Science: Women in the History of Quantum Physics »
Interested in applying to Duke’s Master’s of Statistical Science program? Join Dr. Dawn Strickland and Megan Kelly Deyncourt to learn more about our world-class program. We’ll give a… read more about Upcoming MSS Information Session »
Interested in applying to Duke’s Master’s of Statistical Science program? Join Dr. Dawn Strickland and Megan Kelly Deyncourt to learn more about our world-class program. We’ll give a brief overview… read more about Upcoming Graduate Program Virtual Info Sessions »
Are you considering applying to graduate school in Statistical Science, Data Science, ML/AI or related quantitative fields? Are you juggling essays, applications, and campus visits? The… read more about Applying to Graduate Programs in Statistical Science and related fields? 2 Info Sessions »
Kepos Capital, founded in 2010, is a boutique alternative investment firm focused on constructing niche, uncorrelated strategies. With over $2 billion in assets and more than a decade of trading,… read more about Kepos Capital Summer Internship Information Session »
The frequentist variability of Bayesian posterior expectations can provide meaningful measures of uncertainty even when models are misspecified. Classical methods to asymptotically approximate the… read more about The Bayesian Infinitesimal Jackknife for Variance »
Moderator: Patrick WoitschigSpeakers : Zeki Kazan and Rick PresmanZeki KazanBayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data… read more about STA 701 Talk »
We introduce the BREASE framework for the Bayesian analysis of randomized controlled trials with a binary treatment and a binary outcome. Approaching the problem from a causal inference perspective,… read more about Causally Sound Priors for Binary Experiments »
Moderator: Shuo WangSpeakers: Joe Mathews and Kevin LiPresenter: Joseph MathewsTitle: "Finite sample complexity of sequential Monte Carlo estimators on multimodal target distributions"Abstract: In… read more about STA 701 Talk »
Rubrics are thought to improve quality and decrease social bias in scientific peer review. However, rubrics cannot serve these functions if reviewers sequence their judgments in a normatively… read more about Normatively Backwards Rubric Scoring: Evidence from NIH Peer Review »
The Department of Statistical Science and its Undergraduate and MSS programs welcome back 2nd Order Solutions, the employer of several of our alumni, including Martha Pahren BS '21, 2OS Senior… read more about 2nd Order Solutions Recruiting Information Session »
The Department of Statistical Science and the StatSci Majors Union welcome back our Alumnus Matthew Ralph BS '22 for an information session on Freddie Mac's Capital Markets Analyst program (two… read more about Freddie Mac Career & Internships Information Session »