l-d-s Goto Github PK
Name: Leon Di Stefano
Type: User
Company: Johns Hopkins Bloomberg School of Public Health
Location: Baltimore, Maryland
Blog: l-d-s.github.io
Leon Di Stefano's Projects
2024spring
UCLA Biostat M257 - 2024 Spring
2024winter
ads2020
Advanced Data Science 2020 Edition
aml-book
are213
PhD Applied Econometrics class taught at UC Berkeley
arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
bayes_course_june_2024
Probabilistic Programming and Bayesian Computing with PyMC
bayesian_statistical_modeling_with_stan_r_and_python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
bda_course_aalto
Bayesian Data Analysis course at Aalto
beingagradstudent
Comments on the Nature of Being a Graduate Student
bi-be-cs-183-2023
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023
bios8366
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
compbio_src
Introduction to Computational Biology - source Rmarkdown files
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
data-science-labs-2023
deepr
Deep R Programming (Open-Access Textbook)
fp-ssc-course
An introduction to functional programming for scalable statistical computing
friendsdontletfriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
garychamberlainlecturenotes
gelmanhill
Examples and data from Gelman & Hill 2007
gov2002-book
Course notes for part of Gov 2002 at Harvard
hakyll-nix-template
Hakyll + Nix starter template
hcq_pooling_analysis
histdata
Data Sets from the History of Statistics and Data Visualization
histdatavis
Website for my book on the history of data visualization
hua-zhou.github.io
Hua Zhou's personal webpage
idris-lang.org
Idris web site
ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
jhsph753and4
Class github repository for 751 and 2; doctoral classes in the Department of Biostatistics at Johns Hopkins
jhu-thesis-template
JHU Unofficial Thesis Template
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