Name: Zhenke Wu
Type: User
Company: University of Michigan
Bio: Associate Prof of Biostat UMichigan;
AI for Individualized health.
The future is already here — it’s just not very evenly distributed. -William Gibson
Twitter: ZhenkeWu
Location: Ann Arbor, Michigan, USA
Blog: http://zhenkewu.com
Zhenke Wu's Projects
Advanced R programming: a book
👩🍳 🥧 Bayesian Analysis Kit for Etiology Research via Nested Partially Latent Class Models
Example Code for 'baker' Package
.bug files for use in WinBUGS or OpenBUGS model fitting
Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"
Tree-regularized latent class models to improve estimation under weak separation and small sample sizes
Demonstration code for small problems
🎄🎄 Nested Latent Class Models for Domain-Adaptive and Semi-supervised Learning of Cause-of-Deaths using Verbal Autopsy
learning and implementing generative AI tools
Nested latent class model for Verbal Autopsy
🌲 Integrating Sample Similarity Information into Latent Class Models: A Tree-Structured Shrinkage Approach
Implementation of "A Reinforcement Learning Framework for Dynamic Mediation Analysis" (ICML 2023) in Python.
R package for estimating treatment effects in matched-pair cluster randomized trials (MPCR) using covariate calibration
Micro randomized trial with peer effects
R package for fitting nested partially latent class models (nplcm)
Building R packages
⏪ R package for: Reconstructing Etiology with Binary Decomposition
Fast Algorithms for Fitting Structured Latent Attribute Models (SLAM) in R
build and test structured latent variable models for verbal autopsy data that do regression, scale to large data sizes and work in the absence of gold-standard data
🔭 Subset Profiling and Organizing Tools for Gel Electrophoresis Autoradiography in R
The ultrametricMat is a package designed to conduct the Bayesian inference on the ultrametric matrices by the leveraging the bijection map between the ultrametric matrices and the tree space. We refer to more details to Yao et al. (2023+) Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices.
Zhenke Wu, PhD Research Website