Presentation

2022

  1. Missing Data Workshop (at University of Maryland)

    1. Part 1: Information Bias and Its Remedies

    2. Part 2: Selection bias and its remedies

    3. Part 3:




2021

  1. Propensity score estimation using density ratio model under item nonresponse, presented at AMSI workshop, University of Melbourne

  2. Missing data framework for applied statistical modeling.



2019

  1. Combining Non-probability and Probability Survey Samples Through Mass Imputation, presented at Joint Statistical Meetings

  2. Doubly robust inference when combining probability and non-probability samples with high-dimensional data, Conference on Current Trends in Survey Statistics 2019, NUS, Singapore.


2018

  1. Semiparametric Fractional Imputation using Gaussian Mixture Models, presented at CANSSI workshop

  2. Approximate Bayesian Inference under informative sampling, presented at Small Area Estimation conference at Eastern China Normal University, Shanghai.

  3. Semiparametric propensity score model with nonignorable nonresponse data, presented at Joint Statistical Meetings, Vancouver, Canada.



2017

1. Fractional imputation for handling missing data in survey sampling, presented at NCI.

2. Predictive mean matching imputation in survey sampling, presented at 2017 Canadian Statistical Meeting.

3. Statistical Analysis of Non-ignorable nonresponse, presented at CANSSI spring school, Field Institute, Toronto, Canada.

4. An approximate Bayesian inference on propensity score estimation under nonresponse, presented at Albert Einstein College of Medicine.

5. Some sampling techniques for big data analysis, presented at KIAS in Korea

6. A measurement error model approach to survey data integration, presented at 2017 Small Area Estimation conference in Paris, France.

7. 빅데이터 시대의 통계학, presented in Statistics Korea. (In Korean)