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Introducing Impressions at Netflix

netflixtechblog.com/introducing-impressions-at-netflix-e2b67c88c9fb

Zero-Inflated Negative Binomial Regression - Zero-Inflated_Negative_Binomial_Regression.pdf

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Introduction to Pyro — Pyro Tutorials 1.8.4 documentation

pyro.ai/examples/intro_long.html

SVI Part I: An Introduction to Stochastic Variational Inference in Pyro — Pyro Tutorials 1.9.1 documentation

pyro.ai/examples/svi_part_i.html

Designing difference in differences: lessons from concealed carry laws in crime

causalinf.substack.com/p/designing-difference-in-differences

Hallucinations, Errors, and Dreams

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Generative AI is a hammer and no one knows what is and isn’t a nail

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2410.09267v1.pdf

arxiv.org/pdf/2410.09267

2103.06392v3.pdf

arxiv.org/pdf/2103.06392

译介丨宫本茂《纽约客》访谈：想要创造一个更加友好的世界 | 机核 GCORES

www.gcores.com/articles/132249

lecture11.pdf

people.eecs.berkeley.edu/~jordan/courses/260-spring10/lectures/lecture11.pdf

Bayesian Adaptive Methods for Clinical Trials (Chapman & Hall/CRC Biostatistics Series) - 21.pdf

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The utility of Bayesian predictive probabilities for interim monitoring of clinical trials

www.ncbi.nlm.nih.gov/pmc/articles/PMC4247348/

An Introduction to Markov Chain Monte Carlo

jaketae.github.io/study/MCMC/

What is Gibbs Sampling? - GeeksforGeeks

www.geeksforgeeks.org/what-is-gibbs-sampling/

How UMAP Works — umap 0.5 documentation

umap-learn.readthedocs.io/en/latest/how_umap_works.html

jeffreys.pdf

www2.stat.duke.edu/courses/Fall11/sta114/jeffreys.pdf

The Bayesian Design of Adaptive Clinical Trials

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Adaptive designs in clinical trials: why use them, and how to run and report them - BMC Medicine

bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1017-7

Chapter 21 - A Gallery of Rogues: Other Methods | The Effect

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Synthetic Difference-in-Differences Estimation - dp15907.pdf

docs.iza.org/dp15907.pdf

1712.09089v10.pdf

arxiv.org/pdf/1712.09089

Conformal Inference Tutorial

cdsamii.github.io/cds-demos/conformal/conformal-tutorial.html

1604.04173v2.pdf

arxiv.org/pdf/1604.04173

25 - Synthetic Difference-in-Differences — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/25-Synthetic-Diff-in-Diff.html

A Penalized Synthetic Control Estimator for Disaggregated Data - A Penalized Synthetic Control Estimator for Disagg.pdf

economics.mit.edu/sites/default/files/publications/A%20Penalized%20Synthetic%20Control%20Estimator%20for%20Disagg.pdf

15 - Synthetic Control — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/15-Synthetic-Control.html

Synthetic Controls for Experimental Design.pdf

economics.mit.edu/sites/default/files/2023-12/Synthetic%20Controls%20for%20Experimental%20Design.pdf

Cluster-robust inference: A guide to empirical practice

www.sciencedirect.com/science/article/pii/S0304407622000781

Cameron_Miller_JHR_2015_February.pdf

cameron.econ.ucdavis.edu/research/Cameron_Miller_JHR_2015_February.pdf

pubs.aeaweb.org/doi/pdfplus/10.1257/jel.20191450

How to report an accident to insurance in WA - ZBHLaw

zbhlaw.com/blog/how-to-report-an-accident-to-insurance-in-washington-state/

Calling Insurance After Accident: What You Need to Know

www.caranddriver.com/car-insurance/a36532263/calling-insurance-after-accident/

[PDF] A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention | Semantic Scholar

www.semanticscholar.org/paper/A-Framework-for-Synthetic-Control-Methods-With-a-Robbins-Saunders/bcf424532b37fd85e7fc6e671e48e1b6ec508013

12409.pdf

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Conformal Inference for Synthetic Controls — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/Conformal-Inference-for-Synthetic-Control.html

16 - Regression Discontinuity Design — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/16-Regression-Discontinuity-Design.html

Surrogate for Long-Term User Experience in Recommender Systems - 3534678.3539073.pdf

dl.acm.org/doi/pdf/10.1145/3534678.3539073

Long-Term Value of Exploration: Measurements, Findings and Algorithms - 2305.07764.pdf

arxiv.org/pdf/2305.07764.pdf

1603.09326.pdf

arxiv.org/pdf/1603.09326.pdf

Learn XGBoost in Python: A Step-by-Step Tutorial

www.datacamp.com/tutorial/xgboost-in-python

Features in Boosted Tree Algorithms: Engineering, Encoding, Interaction, etc

queirozf.com/entries/features-in-boosted-tree-algorithms-engineering-encoding-interaction-etc

Machine Learning with XGBoost (in R)

www.kaggle.com/code/rtatman/machine-learning-with-xgboost-in-r/notebook

Complier average causal effect? Exploring what we learn from an RCT with participants who don't do what they are told

www.rdatagen.net/post/cace-explored/

Encouragement Designs and Instrumental Variables for A/B Testing - Spotify Engineering

engineering.atspotify.com/2023/08/encouragement-designs-and-instrumental-variables-for-a-b-testing/

Missing Data Analysis - Complier-Average-Causal-Effect.pdf

opremethodsmeeting.org/wp-content/uploads/2017/07/Complier-Average-Causal-Effect.pdf

On the Use of Propensity Scores in Principal Causal Effect Estimation

www.ncbi.nlm.nih.gov/pmc/articles/PMC2757143/

What is principal stratification in causal inference?

statisticaloddsandends.wordpress.com/2022/04/30/what-is-principal-stratification-in-causal-inference/

Merrill Edge - Login

olui2.fs.ml.com/login/signin.aspx?sgt=3

Basic concepts in transformation of data distributions|Tao's Tips

unaettie.com/en-us/pz/transform_xplain.php