Yanghao Wang
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札记

Blog

Practical tutorials and methodological deep dives into A/B testing, causal inference, SQL, and Python from the perspective of an applied economist.

Process Missing Data in Python

Python
Missing Data

Learn essential techniques and best practices for identifying, handling, and imputing missing data in Python using Pandas.

Mar 19, 2023

Compare An Unknown with A Known Distribution

Probability

Learn statistical techniques to compare an unknown empirical distribution with a known theoretical distribution in data science.

Jan 12, 2023

Extreme Value Distribution and Logit Regression

Probability

Explore the connection between Extreme Value Distribution and Logit Regression for modeling choice probabilities in economics.

Jan 2, 2023

Conditional Probability Application: Association Rule Learning

Probability

Explore the application of conditional probability in association rule learning for market basket analysis and recommendation systems.

Dec 5, 2022

Sample Size: Testing or Survey

A/B Testing
Hypothesis Testing
Sample Size

A practical guide to calculating the optimal sample size for statistical testing, A/B tests, and survey research.

Sep 2, 2022

Derivation of Sample Size for Two-group AB Testing

A/B Testing
Hypothesis Testing
Sample Size

A step-by-step mathematical derivation of the required sample size for conducting rigorous two-group A/B testing.

Aug 30, 2022

Noncompliance and LATE/CACE

Causal
Causal-IV
Causal-CACE/LATE

Learn how to handle noncompliance in experiments using Local Average Treatment Effect (LATE) and Complier Average Causal Effect (CACE).

Jul 22, 2022
 

IPTW Estimator and Doubly Robust Estimator

Causal
Causal-IPW
Causal-DoublyRobust

An overview of Inverse Probability of Treatment Weighting (IPTW) and Doubly Robust Estimators in causal inference.

Jul 16, 2022
 

Greedy Matching and Propensity Score Matching

Causal
Causal-Matching

Learn how to reduce selection bias using Greedy Matching and Propensity Score Matching techniques in observational studies.

Jul 9, 2022

Observational Studies and Matching Overview

Causal
Causal-Matching

An overview of observational studies in causal inference and how matching methods can help estimate unbiased treatment effects.

Jul 8, 2022

不一样的清明节

札记

My father’s heartfelt memoir on the first Qingming Festival since my grandpa’s passing, honoring his memory and our family heritage.

Apr 5, 2022

Directed Acyclic Graphs (DAGs)

Causal
Causal-DAG

Understand Directed Acyclic Graphs (DAGs) and their crucial role in causal inference and identifying confounding variables.

Mar 10, 2022

Review on Causal Inference (Part 3)

Part 3 of a comprehensive review on causal inference in economics, diving into instrumental variables and quasi-experiments.

Feb 20, 2022

Review on Causal Inference (Part 2)

Causal
Causal-IV
Causal-CACE/LATE

Part 2 of a comprehensive review on causal inference in economics, focusing on advanced matching methods and regression designs.

Feb 12, 2022

Review on Causal Inference (Part 1)

Causal
Causal-ATE/CATE
Causal-DAG
Causal-Matching
Causal-IPW
Causal-DID

Part 1 of a comprehensive review on causal inference in economics, covering fundamental concepts and the potential outcomes framework.

Feb 6, 2022

Short Notes on A/B Testing

A/B Testing

Quick and actionable short notes on A/B testing methodology, experimental design, and evaluating business metrics.

Sep 16, 2021
 

How to Use Class Objects in Python

Python

A practical tutorial on Object-Oriented Programming (OOP) in Python, focusing on how to define and use class objects effectively.

Aug 10, 2021

Path to Virtual Drive

CMD
Work Efficiency

A practical guide to configuring and syncing a virtual drive path for seamless cloud storage integration.

Jul 20, 2021

GitHub Authentication and Basic Functionalities

Git
Github
Work Efficiency

A beginner-friendly guide to setting up GitHub authentication and mastering basic version control functionalities.

Jun 15, 2021

Brief Introduction of Essential Methods in Causal Inference

Causal
Machine Learning

An introduction to essential causal inference methods for data science, covering controlled regression, RDD, DID, and synthetic control.

May 6, 2021

Aggregate Data in SQL Using GROUP BY or Window Functions

SQL

Learn how to effectively aggregate data in SQL using GROUP BY clauses and Window Functions for advanced data analysis.

Apr 10, 2021
 

Aggregating and Filtering at One Time in SQL

SQL

A comprehensive guide to performing data aggregation and filtering simultaneously in SQL for optimized query performance.

Apr 6, 2021
 

Hypothesis Testing vs. A/B Testing

A/B Testing
Hypothesis Testing

Understand the theoretical differences and practical applications of traditional Hypothesis Testing versus modern A/B Testing.

Apr 5, 2021

Error Types and Measures

Error Types
Confusion Matrix
Hypothesis Testing

A deep dive into statistical error types (Type I & II) and performance measures like AUC, Precision, and Recall in machine learning.

Mar 27, 2021

SQL JOIN with the WHERE and the ON Clause

SQL

Master SQL JOINs by understanding the critical differences between filtering data in the WHERE clause versus the ON clause.

Feb 6, 2021
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