Join us for tea, coffee and snacks in the Rhodes iiD Atrium in Gross Hall. Meet new people working on cool things! read more about iiD TeaTime »
Tea/social begins at 1 pm followed by a talk and Q&A at 2 pm in Gross Hall 304B. Richard Allen will provide practical insights on math-bio-pharma pathways, discuss skills, roles and transitions… read more about Introduction to Mathematical Biology in Industry: careers and Interetsing Problems »
The informal discussion will take place from 11:15 am - 11:45 am in Gross Hall 103, followed by the colloquium talk at noon in French Sciences 2231Q&A on research, career paths, and industry-… read more about Forums With Industry Mathematicians »
In recent years, longitudinal studies increasingly collect data where the primary measurements are functions or surfaces observed repeatedly over time. This talk introduces parsimonious modeling… read more about Longitudinal Functional Data Methods for Emerging Repeated Measurements »
Please join the Duke StatSci Alumni Advisory Council at 4pm on October 11th for an informal social gathering at JB Duke bar/restaurant area. read more about Social with Duke StatSci Alumni Advisory Council »
How can AI, Natural Language Processing, machine learning, and computational approaches advance research and education in the humanities and interpretive social sciences? how can humanistic… read more about LLM Working Group »
Every weighted, undirected graph describes a random walk on its vertex set, which is reversible Markov chain. I will describe recent work on graph joinings, which leverages this connection and ideas… read more about Graph Joinings and Reversible Markov Chains »
Join us for tea, coffee and snacks in the Rhodes iiD Atrium in Gross Hall. Meet new people working on cool things! read more about iiD Tea Time »
Join us for tea, coffee and snacks in the Rhodes iiD Atrium in Gross Hall. Meet new people working on cool things! read more about iiD TeaTime »
Markov chain Monte Carlo (MCMC) algorithms are foundational methods for Bayesian statistics. However, most MCMC algorithms are inherently sequential, and their time complexity scales linearly with… read more about Parallelizing MCMC Across the Sequence Length: T samples in O(log2 T) time »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Innovations in Bayesian Latent Structure Modeling with Biomedical Applications »
Conditional moment equality models are regularly encountered in empirical economics, yet they are difficult to estimate. These models map a conditional distribution of data to a structural parameter… read more about Semiparametric Bayesian Inference for a Conditional Moment Equality Model »
We propose an algorithm that iteratively transforms a target distribution, specified by an unnormalized density, into a standard Gaussian. At each iteration, the target is rotated to make the… read more about Sampling via Iterative Gaussianization »
Modeling autocovariance functions (ACFs) is fundamental in time-series, spatial, and spatio-temporal statistics. Standard parametric models can struggle with complex, non-separable dependence, and… read more about The Fast and the Fourier-ous: Non-Parametric Autocovariance Modeling with Spline Kernels »
Online open information sessions for new students making Statistical Science course selections or needing program information are listed below. Please fill out this form to RSVP(link opens in a… read more about Open Advising on Zoom for incoming first-year undergraduates »
Come see what Data+, Code+, CS+, Climate+, and AE+ have been doing this summer! Over 54 projects will be featured at the poster session, and AE+ will be featuring a video showcase of their work in… read more about +Programs Poster Session and Finale »
Online open information sessions for new students making Statistical Science course selections or needing program information are listed below. Please fill out this form to RSVP(link opens in a… read more about Open Advising on Zoom for incoming first-year undergraduates »
Online open information sessions for new students making Statistical Science course selections or needing program information are listed below. Please fill out this form to RSVP and get more… read more about Open Advising on Zoom for incoming first-year undergraduates »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Scalable Bayesian Inference and Multiple Hypothesis Testing for Tree-structured Data »
The Statistical Science Department invites all to attend this dissertation defense. read more about Scalable Multi-Stage Bayesian Inference in Constrained and Structured Models »
Online open information sessions for new students making Statistical Science course selections or needing program information are listed below. Please fill out this form to RSVP and get more… read more about Open Advising on Zoom for incoming first-year undergraduates »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Advances in Bayesian Latent Factor Interaction Models for Ecological and Environmental Health Applications »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Advances in Sequential Monte Carlo Methods and Site-Dependent DNA Evolution Models »
We are excited to announce that the 2025 Graduation Reception and Awards Ceremony will take place at the JB Duke Hotel on Saturday, May 10, 2025, from 8:00 AM to 12:00 PM. This special event… read more about 2025 Graduation Diploma Reception and Awards Ceremony »
Traditional expert-based biodiversity surveys are increasingly replaced by semi-automated sensors that produce completely new types and volumes of data. As one example, our ongoing ERC-synergy… read more about Surveying the World's Biodiversity with DNA, Audio, Image, Machine Learning and Statistics »