Talks


Conference Presentations

  1. 1.
    Bias Correction and its Impact on Inference for Generalized Partially Linear Models

    International Conference on Frontiers of Data Science, Hangzhou, China, July 2024 (Invited talk).

  1. 2.
    Just Identified Indirect Inference Estimator: Accurate Inference through Bias Correction

    IMS International Conference on Statistics and Data Science (ICSDS), Lisbon, Portugal, December 2023 (Student Travel Award talk).

    1. 3.
      A Computationally Efficient Framework for Robust Estimation

      CFE-CMStatistics, Berlin, Germany, December 2023 (Invited talk).

    1. 4.
      A Computationally Efficient Framework for Robust Estimation

      International Conference on Robust Statistics (ICORS), Toulouse, France, May 2023.

    1. 5.
      A Flexible Bias Correction Method based on Inconsistent Estimators

      CFE-CMStatistics, Virtual Conference, December 2022.

    1. 6.
      Targeted Bias Correction for Parametric Models

      Bernoulli-IMS One World Symposium, Virtual Conference, August 2020.

      1. 7.
        Simulation-based Bias-reduced Robust Estimation in High Dimensional Settings

        Joint Statistical Meetings, Virtual Conference, August 2020.

      1. 8.
        A Study of Simulation Based Estimators for High Dimensional Generalized Linear Models

        47th Annual Meeting of the Statistical Society of Canada, Calgary, Alberta, Canada, May 2019.

      1. 9.
        A Study of Simulation-Based Estimators in Logistic Regression and Negative Binomial Regression

        International Chinese Statistical Association Conference on Data Science, Jinghong, Yunnan, China, January 2019.

      1. 10.
        An Optimal Virtual Inertial Sensor Framework using Wavelet Cross Covariance

        IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, USA, April 2018.


        Department Talks

        1. 1.
          A Flexible Bias Correction Method based on Inconsistent Estimators

          Laboratory of Epidemiology and Public Health, School of Public Health, Yale University, CT, USA, May 2022.

          1. 2.
            A Simulation-based Estimation Framework for Generalized Partially Linear Models

            Statistics and Data Science Seminar, Department of Mathematics and Statistics, Auburn University, AL, USA, May 2022.

          1. 3.
            A General Approach for Simulation-based Bias Correction in High Dimensional Settings

            Statistics and Data Science Seminar, Department of Mathematics and Statistics, Auburn University, AL, USA, February 2022.

          1. 4.
            A General Approach for Simulation-based Bias Correction in High Dimensional Settings

            Epidemiology and Biostatistics Research Seminar, School of Public Health, University of Illinois at Chicago, IL, USA, January 2022.

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