I am currently a student from MS in Statistics and Data Science program at Yale University. I graduated from Nanjing University in 2023 majoring in Statistics. I have interests in machine learning theory and applications. Theoretically, I would like to study under what conditions, machine learning methods can work well and how to design new learning procedure for different scenarios. For the aspect of applications, I am interested at large-scale implementations of machine learning methods and their applications to practical problems.
Please also see my current CV and some of my notes.
In this article, I will introduce why jackknife can be used to do debiasing and variance estimation and why it works well. Specifically, I will focus on its statistical properties e.g. consistency and biasedness.
Given a set of 12 balls , one of which is defective (it weighs either less or more) . You are allow to weigh 3 times to find the defective and also tell which weighs less or more.
