RobinMDunn
Senior Principal Statistical Consultant, Novartis. PhD in Statistics, Carnegie Mellon, 2021.
NovartisEast Hanover, NJ
Pinned Repositories
TC-prediction-bands
Causal-inference-in-RCTs
This repository contains code examples for several methods in a Causal Inference in RCTs short course.
ConformalTwoLayer
Code for "Distribution-free prediction sets for two-layer hierarchical models"
GaussianUniv_sims
Code for "Gaussian universal likelihood ratio testing"
Hurricanes_701
LogConcaveUniv
Code for "Universal inference meets random projections: a scalable test for log-concavity"
RobinMDunn.github.io
Personal website
stat315_summer19_data
Stat 315 Summer 2019 Data
Universal_Inference_LogConcave
Code for "Universal inference meets random projections: a scalable test for log-concavity"
RobinMDunn's Repositories
RobinMDunn/ConformalTwoLayer
Code for "Distribution-free prediction sets for two-layer hierarchical models"
RobinMDunn/LogConcaveUniv
Code for "Universal inference meets random projections: a scalable test for log-concavity"
RobinMDunn/GaussianUniv_sims
Code for "Gaussian universal likelihood ratio testing"
RobinMDunn/Hurricanes_701
RobinMDunn/RobinMDunn.github.io
Personal website
RobinMDunn/stat315_summer19_data
Stat 315 Summer 2019 Data
RobinMDunn/Universal_Inference_LogConcave
Code for "Universal inference meets random projections: a scalable test for log-concavity"