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Jennifer Starling's Projects

bigdata icon bigdata

SDS385 Big Data with Prof. James Scott | Fall 2016

deepprobmodels icon deepprobmodels

Deep Probability Models reading group with Prof. James Scott (2017)

ercot icon ercot

ERCOT energy load forecasting

spatialsmoothing icon spatialsmoothing

SDS385 Big Data (2016). Final project: spatial smoothing for radiation data.

starlib icon starlib

Python package with some useful functions.

starlibr icon starlibr

R Package containing useful functions, code snippets and examples.

starmcmc icon starmcmc

My R scripts from: SDS386D | MCMC | Dr. Stephen Walker | Spring 2017

starutils icon starutils

Tools for project setup and report creation. Based on keithUtils by Keith Baggerly.

tools4rr icon tools4rr

Materials for a one-credit course on reproducible research

tsbart icon tsbart

R package for BART with Targeted Smoothing (Starling, AOAS 2019). Includes implementation for Projective Smooth BART (Starling 2019).

tsbcf icon tsbcf

R package for Targeted Smooth Bayesian Causal Forests (Starling 2019).

uganda-analysis icon uganda-analysis

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)

varstar icon varstar

TAMU STAT 685 - Fall 2016 - Variable Star Classification R Package

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