Pinned Repositories
2024spring
UCLA Biostat M257 - 2024 Spring
2024winter
arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
hcq_pooling_analysis
l-d-s.github.io
lambda-repl
A bare-bones REPL for the untyped lambda calculus
latex_paper_template
bionix
Functional highly reproducible bioinformatics pipelines
l-d-s's Repositories
l-d-s/l-d-s.github.io
l-d-s/2024spring
UCLA Biostat M257 - 2024 Spring
l-d-s/2024winter
l-d-s/aml-book
l-d-s/are213
PhD Applied Econometrics class taught at UC Berkeley
l-d-s/Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
l-d-s/hakyll-nix-template
Hakyll + Nix starter template
l-d-s/latex_paper_template
l-d-s/bayes_course_june_2024
Probabilistic Programming and Bayesian Computing with PyMC
l-d-s/BI-BE-CS-183-2023
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023
l-d-s/compbio_src
Introduction to Computational Biology - source Rmarkdown files
l-d-s/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
l-d-s/Data-science-labs-2023
l-d-s/deepr
Deep R Programming (Open-Access Textbook)
l-d-s/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
l-d-s/gov2002-book
Course notes for part of Gov 2002 at Harvard
l-d-s/HistData
Data Sets from the History of Statistics and Data Visualization
l-d-s/Hua-Zhou.github.io
Hua Zhou's personal webpage
l-d-s/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.
l-d-s/latex_beamer_template
l-d-s/latex_note_template
l-d-s/martin-lof
papers of Per Martin Löf
l-d-s/physalia-gam-course
Generalized Additive Models; a data-driven approach to estimating regression models
l-d-s/pml-teaching
l-d-s/pymc_sdss_2024
SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC
l-d-s/sdss_2024_course
SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC
l-d-s/SER_competing_events_workshop
"Causal inference with competing events" workshop for the Society of Epidemiologic Research conference, 2022
l-d-s/stat_rethinking_2024
l-d-s/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
l-d-s/uncertainty-vis-course