Academics

Statistical Topics with Missing Data

Time:Wed.,19:20-21:45, Feb.22~Jun.7, 2023

Venue:Zoom:271 534 5558 PW: YMSC

Speaker:Prof. Donald Rubin

Abstract:

In some sense, many issues in statistics can be viewed as being focused on issues involving missing data, from predicting future observations from past observations, to the design and analysis of surveys and experiments, to the understanding of economic models involving instrumental variables, to medical data that are unobservable due to the death of patients. This course will consider a variety of such topics using two classic texts, Little and Rubin (2020) and Imbens and Rubin (2015), as well as other widely cited publications.

DATEFebruary 22, 2023
SHARE
Related News
    • 0

      Topics in Statistics and Data Science

      Description: Research results of the Instructor over the years, including more recent on Foundations of Data Science for Algorithmic (Black-Box) models, i.e. without model assumptions for the data.Topics include: Cluster and Structures detection with the Variance Components Split (VCS) method. Application in the separation of cryptocurrencies from other assets.EDI-graph: A Tool to determine, vi...

    • 1

      Topics in Statistical Theory

      Description:This course will recover research results of the Instructor over the years:1) Elegant nonparametric, minimum distance estimation of a density and a regression type function and of their derivatives, with upper and lower rates of convergence; the parameter space is assumed to be either totally bounded or regular. Plug-in upper convergence rates for estimates of a mixing density in R...