Name: Jennifer Starling
Type: User
Company: Mathematica Policy Research
Bio: Statistician at Mathematica Policy Research. PhD from Department of Statistics and Data Sciences, UT Austin.
Location: Cambridge, MA
Blog: jestarling.github.io
Jennifer Starling's Projects
SDS385 Big Data with Prof. James Scott | Fall 2016
Deep Probability Models reading group with Prof. James Scott (2017)
ERCOT energy load forecasting
My personal website.
R walkthroughs
SDS383C Statistical Modeling 1 (2016). Final Project: Penalized Matrix Decomposition.
Links to slides for rstudio::conf 2019
SDS385 Big Data (2016). Final project: spatial smoothing for radiation data.
STA 380: Predictive Modeling
Demo for STA380 second half.
Python package with some useful functions.
R Package containing useful functions, code snippets and examples.
My R scripts from: SDS386D | MCMC | Dr. Stephen Walker | Spring 2017
Playing with shiny apps.
Tools for project setup and report creation. Based on keithUtils by Keith Baggerly.
SDS383D Statisical Modeling 2 (2017)
Materials for a one-credit course on reproducible research
R package for BART with Targeted Smoothing (Starling, AOAS 2019). Includes implementation for Projective Smooth BART (Starling 2019).
Analysis for BART with Targeted Smoothing (Starling et al. 2020)
R package for Targeted Smooth Bayesian Causal Forests (Starling 2019).
Analysis for Starling et al. 2019 - Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda. (https://arxiv.org/abs/1912.06946)
TAMU STAT 685 - Fall 2016 - Variable Star Classification R Package