Grouped integrative dynamic factor models for intra-and inter- individual brain networks Abstract: We introduce a novel framework for dynamic factor model-based data integration of multiple subjects, Grouped Integrative Dynamic factor models (GRIDY). This work is a pilot study to suggest … Read more
Julie Swann Department of Industrial and Systems Engineering North Carolina State University Analytics to Promote an Efficient, Effective, and Equitable Response to the Covid-19 Pandemic Planning and response to the Covid-19 pandemic is complex but can be informed by analytics … Read more
Qian Cheng 4-4:20 pm Aggregate Early Bed Requests for Admitted Patients in an Emergency Department Abstract: Long emergency department (ED) boarding is associated with adverse patient health outcomes and leads to ED crowding. The current practice is to request hospital … Read more
KPZ Fluctuations of Sticky Brownian Motion Sticky Brownian motion is a type of diffusion consisting of many interacting particles, where each individual particle behaves as standard Brownian motion but collectively the different particles may stick together and separate repeatedly. The … Read more
Data science outreach partnership with the North Carolina School of Science and Math Abstract: The North Carolina School of Science and Math is a two-year public high school for residents of North Carolina that focuses intensively on science, mathematics, and … Read more
Convergence of Gaussian kernelized graph Laplacian: eigen-convergence and bi-stochastic normalization Consider kernelized graph affinity matrix constructed from $N$ data points i.i.d. sampled from a general unknown $d$-dimensional manifold embedded in a possibly high-dimensional space. The setting is generic in graph-based … Read more
Group advising session with undergrad advisors Will Lassiter and Remi Abayomi will be held on Monday October 17th from 5-6pm in Hanes 130.
Title: Graph representation learning for single-cell genomics Abstract: Single-cell RNA sequencing measures gene expression at an unprecedented resolution and scale and allows the analysis of cellular phenotypes which was not possible before. In this context, graphs occur as a natural … Read more
Yiyun Luo Online Decision Making in Dynamic Pricing and Assortment Selection Under the direction of Yufeng Liu Online decision making is an interdisciplinary research field which lies at the interface of Statistics, Machine Learning, and Operations Research. … Read more
Reinforcement Learning under Unmeasured Confounding In practical reinforcement learning (RL), a representation of the full state which makes the system Markovian and therefore amenable to most existing RL algorithms is not known a priori. Decision makers are often facing so-called … Read more
This set of lectures is an introduction to the stochastic analysis of Markov jump processes with applications in biology. The goal is of using stochastic calculus in this context, the analogue of Itô’s calculus for Brownian motion, as an efficient … Read more
This set of lectures is an introduction to the stochastic analysis of Markov jump processes with applications in biology. The goal is of using stochastic calculus in this context, the analogue of Itô’s calculus for Brownian motion, as an efficient … Read more
