Ying-Ju Tessa Chen

Invited Talks

Dec. 2024 - Generative AI and Statistical Practice: Enhancing Quality Control, Education, and Task Reliability with Large Language Models. Department of Statistics, National Taipei University, Taiwan
Sep. 2023 - Socal-Data Scraping in R. The Association for Consumer Research Conference.
Dec. 2022 - A New Computational Method for Estimating the Gini Index Based on Grouped Data. International Joint Symposium on Applied Mathematics, Science and Technology.
June 2022 - Dating with Data: A Machine Learning Approach to Predict Heart Transplantation Survival Probabilities Over Time. Department of Statistics, National Taipei University, Taiwan.
June 2022 - A new computational approach for bias reduction of the Gini index estimation based on grouped data. Department of Mathematics (Colloquium), National Cheng Kung University, Taiwan.
May 2022 - An Information Approach to a Lifetime Change-Point Model Based on an Exponential Logarithmic Distribution. The 35th New England Statistics Symposium (NESS).
Nov. 2020 - A New Computational Approach for Estimation of the D-Gini Index Based on Grouped Data. Department of Mathematics and Statistics (Colloquium), Wright State University, USA.
June 2019 - A Two-Stage Machine Learning Approach to Predict Heart Transplantation Survival Probabilities over Time with a Monotonic Probability Constraint. Department of Applied Mathematics, National University of Tainan, Taiwan.
May 2019 - Comparing Machine Learning Models with Data from Wearable Sensors to Model Physical Fatigue Occurrence. Graduate Institute of Educational Information and Measurement, National Taichung University of Education, Taiwan.
Jan. 2017 - Empirical Likelihood Based Detection Procedure for Change Point in Mean Residual Life Functions Under Random Censorship. Graduate Institute of Educational Information and Measurement. National Taichung University of Education, Taiwan.
Dec. 2016 - Jackknife Empirical Likelihood Method for Mean Residual Life Functions. Department of Applied Mathematics, National University of Tainan, Taiwan.
Oct. 2014 - Jackknife Empirical Likelihood Based Detection Procedure for Change-Point in Mean Residual Life Functions. International Conference on Advances in Interdisciplinary Statistics and Combinatorics, The University of North Carolina at Greensboro.

Contributed Talks

October 2023 - Mortality Rates from Violent Deaths by Racial and Ethnic Groups in the United States, 2016-2020. 2023 Women in Statistics and Data Science.
May 2023 - How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study. 2023 ASA/IMS Spring Research Conference on Statistics in Industry and Technology.
July 2019 - New Approach in Distribution Fitting for Grouped Data and its Application in Measuring Income Distribution. Joint Statistical Meeting, Denver. Speed Presentation.
July 2019 - A New Approach in Distribution Fitting for Grouped Data and its Applications on Correcting Bias in Gin Coefficient due to Grouping. The 23 International Congress on Insurance: Mathematics and Economics (IME 2019).
June 2018 - A data analytic framework for physical fatigue management using wearable sensors. 2018 Joint Research Conference on Statistics in Quality, Industry and Technology. Poster Presentation.
May 2016 - Adjusted Jackknife Empirical Likelihood. The 10th Lukacs Symposium, Bowling Green State University.
Fall, 2014 - A study of Jackknife Empirical Likelihood Approach on Equality of Variances. Statistics Seminar, Bowling Green State University.
Spring, 2014 - R Programming Seminar, Bowling Green State University.
April 2014- Jackknife Empirical Likelihood Methods on Testing for Equality of Variances of Two Samples. Ohio Section of The MAA, University of Toledo.
Fall, 2013 - Python Learning Workshop. Bowling Green State University.
Fall, 2013 - Introduction to Support Vector Machines. Statistics Seminar, Bowling Green State University.
Spring, 2013 - A Summary for Change-point Detection in a Shape-restricted Regression Model. Statistics Seminar, Bowling Green State University.
Spring, 2012 - A Study of Bimodal Extension Based on The Skew-normal Distribution. Statistics Seminar, Bowling Green State University.

General Talks for Students (Invited)

October, 2024 - Journey Across Borders: My Experience Living, Studying, and Working in the U.S., Department of Statistics, National Taipei University, Taiwan.
April 11, 2024 - Comparing Classifier Performance with Baselines, Pi Mu Epsilon Banquet, University of Dayton.
Feb. 12, 2024 - Advancing Statistical Quality Control with AI: Insights from ChatGPT and ChatSQC, Math Club, University of Dayton.
June 6, 2023 -Introduction to Design of Experiments. S.U.R.E. Student Professional Development Session, University of Dayton.
June 9, 2022 - Living, Studying, and Working in the USA. Department of Management Information Systems, National Chung Hsing University, Taiwan.
June 7-8, 2022 - Living, Studying, and Working in the USA. Department of Statistics, National Taipei University, Taiwan.
Oct. 5, 2021 - Dating with Data: EDA - Job Analysis. Math Club, University of Dayton, USA.
Mar. 10, 2018 - Bayes Theorem & Its Applications. The 22nd Annual High School Math Competition, University of Dayton.
Dec. 21, 2012 - International Students' Life in the USA. National University of Tainan, Taiwan.
Dec. 21, 2012 - A small talk in "Chance in Statistics". National University of Tainan, Taiwan.