Taylor R. Brown's repositories
Using-gradeR-for-the-Gradescope-Autograder
Describes a fully-worked example on how to use Gradescope to automatically grade your students' .R assignment submission files
pfexamplesinr
examples of using the pf c++ library in an r session
stat7200_slides
Slides that accompany "A First Look at Rigorous Probability Theory" by Jeffrey Rosenthal
dask_on_slurm_demo
run python code (dask) on UVa's Rivanna Cluster
dockerized_trade_exec
dockerized Interactive Brokers trade execution client
stat_8120_slides
a class on particle filtering based on the textbook "Inference in Hidden Markov Models" by Cappe', Moulines, and Ryden https://www.springer.com/gp/book/9780387402642
tbrown122387.github.io
my academic website
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
autograder_samples
Examples of autograders for running on Gradescope
autograder_site
version 2 of autograder site
cpm
correlated pseudo-marginal sampler implementation
datascience
A Python library for introductory data science
depmixS4
R package to define and fit mixture and hidden Markov (dependent mixture) models
dockerized_logger
logs data from Interactive Brokers Gateway. Can be used as a template for execution apps.
IBrokers
R API to Interactive Brokers Trader Workstation
my_academic_site_v2
my website
naive_bayes
An Introduction to Naive Bayes in Python
NN-lecture
a quick 20 minute introduction to feedforward neural networks
pfR
pfR is the R interface to [pf](https://github.com/tbrown122387/pf)
sas_grading_macros
some sas macros to help with grading .sas assignment submissions
ssme
a c++ library for the estimation of state-space models
stat_4170_slides
slides for STAT 4170: Financial Time Series and Forecasting
stat_5170_slides
Slides to accompany the first few chapters of "Time Series Analysis and Its Applications (with R examples)" by Shumway and Stoffer