Optimal Full Matching — method_full

kosukeimai.github.io/MatchIt/reference/method_full.html

Optimal Matching

r.iq.harvard.edu/docs/matchit/2.4-15/Optimal_Matching.html

Estimating Effects After Matching

cran.r-project.org/web/packages/MatchIt/vignettes/estimating-effects.html

Causal Inference The Mixtape - 3  Directed Acyclic Graphs

mixtape.scunning.com/03-directed_acyclical_graphs

Propensity Score Matching - StatsNotebook - Simple. Powerful. Reproducible.

statsnotebook.io/blog/analysis/matching/

10 - Matching — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/10-Matching.html

Causal Inference The Mixtape - 4  Potential Outcomes Causal Model

mixtape.scunning.com/04-potential_outcomes

Causal Inference The Mixtape - References

mixtape.scunning.com/references.html

Understanding Robust Standard Errors | University of Virginia Library Research Data Services + Sciences

data.library.virginia.edu/understanding-robust-standard-errors/

sand.pdf

www.stat.umn.edu/geyer/5601/notes/sand.pdf

Fisher_info.pdf

people.missouristate.edu/songfengzheng/Teaching/MTH541/Lecture%20notes/Fisher_info.pdf

matrix_OLS_NYU_notes.pdf

web.stanford.edu/~mrosenfe/soc_meth_proj3/matrix_OLS_NYU_notes.pdf

Causal Inference The Mixtape - 2  Probability and Regression Review

mixtape.scunning.com/02-probability_and_regression

Causal Inference The Mixtape - 1  Introduction

mixtape.scunning.com/01-introduction

01 - Introduction To Causality — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/01-Introduction-To-Causality.html

Key Challenges with Quasi Experiments at Netflix

netflixtechblog.com/key-challenges-with-quasi-experiments-at-netflix-89b4f234b852

Cluster randomized trials with a small number of clusters: which analyses should be used?

academic.oup.com/ije/article/47/1/321/4091562

Key considerations for designing, conducting and analysing a cluster randomized trial

academic.oup.com/ije/advance-article/doi/10.1093/ije/dyad064/7172835

Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials

www.annualreviews.org/doi/full/10.1146/annurev-publhealth-040119-094027

D:\df\tex\mlesan.dvi - mlesan.pdf

www.stat.berkeley.edu/~census/mlesan.pdf

Getting Started with Generalized Estimating Equations | University of Virginia Library Research Data Services + Sciences

data.library.virginia.edu/getting-started-with-generalized-estimating-equations/

Analysis of cluster randomised trials with an assessment of outcome at baseline

www.bmj.com/content/360/bmj.k1121

Cluster-Randomized Studies: Part 25 of a Series on Evaluating Scientific Publications

www.ncbi.nlm.nih.gov/pmc/articles/PMC5881078/

Quasi Experimentation at Netflix

netflixtechblog.com/quasi-experimentation-at-netflix-566b57d2e362

About Causal ML — causalml documentation

causalml.readthedocs.io/en/latest/about.html

Causal Inference for The Brave and True — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/landing-page.html

Proven Netflix Data Scientist interview guide (2023)

prepfully.com/interview-guides/netflix-data-scientist

journals.sagepub.com/doi/pdf/10.1177/1536867X0400400205

Delta Method: Definition

www.statisticshowto.com/delta-method-definition/

A Quick Uplift Modeling Introduction

towardsdatascience.com/a-quick-uplift-modeling-introduction-6e14de32bfe0

Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance

netflixtechblog.com/streaming-video-experimentation-at-netflix-visualizing-practical-and-statistical-significance-7117420f4e9a

Experimentation is a major focus of Data Science across Netflix

netflixtechblog.com/experimentation-is-a-major-focus-of-data-science-across-netflix-f67923f8e985

Netflix Research

research.netflix.com/research-area/experimentation-and-causal-inference

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

netflixtechblog.com/a-day-in-the-life-of-an-experimentation-and-causal-inference-scientist-netflix-388edfb77d21

arxiv.org/pdf/1904.07272.pdf

Multi-armed Bandits: an alternative to A/B testing

medium.com/@brunonishimoto/multi-armed-bandits-an-alternative-to-a-b-testing-8acce8e12549

What is Multi-Armed Bandit(MAB) Testing? | VWO

vwo.com/blog/multi-armed-bandit-algorithm/

Matrix Completion for Causal Models

causalinf.substack.com/p/matrix-completion-for-causal-models

1710.10251.pdf

arxiv.org/pdf/1710.10251.pdf

Did Facebook Hurt Our Mental Health? Probably

causalinf.substack.com/p/did-facebook-hurt-our-mental-health

jobs.netflix.com/culture?lang=English

jobs.netflix.com/candidateprivacy

Netflix - Overview - Long-Term View

ir.netflix.net/ir-overview/long-term-view/default.aspx

Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch

sebastianraschka.com/blog/2023/self-attention-from-scratch.html

Transformers from Scratch

e2eml.school/transformers.html

The Illustrated Transformer

jalammar.github.io/illustrated-transformer/

Transformer Architecture: The Positional Encoding - Amirhossein Kazemnejad's Blog

kazemnejad.com/blog/transformer_architecture_positional_encoding/

A.pdf

web.stanford.edu/~jurafsky/slp3/A.pdf

Tutorial — hmmlearn 0.2.8.post29+gba62fed documentation

hmmlearn.readthedocs.io/en/latest/tutorial.html

Logistic Regression with PyTorch

towardsdatascience.com/logistic-regression-with-pytorch-3c8bbea594be

Study Note: Comparing Logistic Regression, LDA, QDA, and KNN

nancyyanyu.github.io/posts/6084c2b2/