Talks

2024, “Supervised stratified subsampling for regression problems”, The 2024 Joint Research Conference, June, Canada. [Invited]

2024, “Orthogonalized moment aberration for multi-stratum factorial designs”, The Design and Analysis of Experiments (DAE 2024) Conference, May, USA. [Organizer/Chair, Poster]

2023, “Moment aberration for multi-stratum factorial designs”, Conference on Experimental Design and Analysis 2023 (CEDA 2023), December, Taiwan. [Invited]

2023, “Supervised stratified subsampling for big data prediction”, The 6th International Conference on Econometrics and Statistics (EcoSta 2023), August, Tokyo, Japan. [Invited]

2023, “Supervised stratified subsampling for big data prediction”, The 32nd South Taiwan Statistics Conference, National Dong Hwa University, June, Taiwan. [Invited]

2023, “Supervised stratified subsampling for big data prediction”, Spring Research Conference 2023, Banff Centre, Alberta, Canada.

2023, “Supervised stratified subsampling for big data reduction”, ISI-ISM-ISSAS Joint Conference, Academia Sinica, February, Taiwan. [Invited]

2022, “Predictive subdata selection for large-scale deterministic computer models”, CMStatistics 2022, King's College London, December, United Kingdom. [Invited]

2022, “Predictive subdata selection for large-scale deterministic computer models”, IASC-ARS Interim Conference 2022 (virtual), December, Hong Kong. [Invited]

2022, “Predictive subdata selection for large-scale deterministic computer models”, 111年統計學術研討會, Tamkang University, December, Taiwan. [Invited]

2022, “Predictive subdata selection for large-scale deterministic computer models”, 2022 RSI Workshop: Robust Statistical Inference For High Dimensional Data And Deep Models, Academia Sinica, September, Taiwan. [Invited]

2022, “Designing experiments for general network structures”, The 24th International Conference on Computational Statistics, August. [Invited]

2022, “Predictive subdata selection for large-scale deterministic computer models”, The 31th South Taiwan Statistics Conference, Feng Chia University, July, Taiwan. [Invited]

2022, “Predictive subdata selection for computer models”, The 11th Conference of the IASC-ARS, February. [Invited]

2022, “Predictive subsampling for computer models”, ISI-ISM-ISSAS Joint Conference 2022, January. [Invited]

2021, “Predictive data reduction for computer models”, International Statistical Symposium CSA-KSS-JSS Special Invited Sessions, Fu Jen Catholic University, December, Taiwan. [Invited]

2020, “M-aberration: A unified approach to select factorial designs”, 109 年統計學術研討會, Academia Sinica, December, Taiwan. [Invited]

2020, “A unified framework for minimum aberration”, The 29th South Taiwan Statistics Conference, National Chung Cheng University, August, Taiwan. [Invited]

2019, “De-aliasing in two-level factorial designs: a Bayesian approach”, The 3rd International Conference on Econometrics and Statistics (EcoSta 2019), June, Taiwan. [Invited]

2019, “De-aliasing in two-level factorial designs: a Bayesian approach”, The 28th South Taiwan Statistics Conference, National Chung Hsing University, June, Taiwan. [Invited]

2019, “A Bayesian approach to the selection of two-level multi-stratum factorial designs”, International Conference on Design of Experiments, The University of Memphis, May, Memphis, TN, USA. [Invited]

2018, “Signal aliasing in Gaussian random fields”, Conference on Experimental Design and Analysis 2018 (CEDA 2018), National Tsing Hua University, December, Taiwan. [Invited]

2018, “Signal aliasing in Gaussian random fields for experiments with qualitative factors”, Joint Statistical Meetings, August, Vancouver, Canada.

2018, “Minimum aberration: the selection of complex factorial designs”, The 27th South Taiwan Statistics Conference, National Cheng Kung University, June, Taiwan. [Invited]

2018, “Designing experiments for general network structures”, The 2nd International Conference on Econometrics and Statistics (EcoSta 2018), June, Hong Kong, China. [Invited]

2018, “Minimum aberration: the selection of complex factorial designs”, 第十一屆海岸兩岸機率與統計學術研討會, National Taipei University, June, Taiwan. [Invited]

2017, “A Bayesian-inspired minimum aberration criterion for two-level multi-stratum factorial designs”, The Design and Analysis of Experiments (DAE 2017) Conference, October, Los Angeles, CA, USA. [Invited Poster]

2017, “Minimum aberration two-level multi-stratum factorial designs: a Bayesian approach”, The 26th South Taiwan Statistics Conference, National Taipei University, June, Taiwan. [Invited]

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors”, The 10th ICSA International Conference, December, Shanghai, China. [Statistica Sinica Special Invited Session]

2016, “Signal aliasing in Gaussian random fields for experiments with qualitative factors”, Conference on Experimental Design and Analysis 2016, Academia Sinica, December, Taiwan. [Poster]

2016, “Signal aliasing in Gaussian random fields for experiments with qualitative factors”, 2016 CSA & NCCU Joint Statistical Meetings, December, Taiwan. [Invited]

2016, “Signal aliasing in Gaussian random field for experiments with qualitative factors”, The KSS Autumn Conference 2016, November, Daejeon, Korean. [Invited]

2016, “Effect aliasing in Gaussian random field models”, The 25th South Taiwan Statistics Conference, National Sun Yat-sen University, June, Taiwan.

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors”, The 25th South Taiwan Statistics Conference, National Sun Yat-sen University, June, Taiwan.

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors”, International Conference on Design of Experiments, The University of Memphis, May, Memphis, TN, USA.

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioned factors”, ISI-ISM-ISSAS Joint Conference, Academia Sinica, January, Taiwan. [Poster]

2014, “Aliasing in random field model for qualitative factors”, Joint Statistical Meetings, August, Boston, MA, USA.

2014, “Aliasing in random field model for qualitative factors”, Joint Research Conference, June, Seattle, WA, USA. [Poster]

2024, ``Optimal multi-stratum factorial designs with applications to medical and health data'', ISM, Japan, April, 2024.

2023 Academia Sinica Open House (中研院統計所院區開放科普演講): 瞬息萬變中的永恆--中央極限定理的奧秘, October, 2023. [Slides]

2023, ``An Introduction to Multi-Stratum Design'', 中央研究院統計科學營, August, Taiwan. [Slides]

2023, ``Supervised stratified subsampling for big data prediction", Department of Applied Statistics and Information Science, Ming Chuan University, April, Taiwan.

2023, ``Supervised stratified subsampling: an approach to big data predictive analytics", Department of Mathematics, Statistics, and Computer Science, University of Illinois-Chicago, March, USA. [Virtual]

2023, ``Predictive subdata selection for large-scale deterministic computer models", Data Science Degree Program, National Taiwan University, February, Taiwan.

2022, ``Predictive subdata selection for large-scale deterministic computer models", Department of Statistics, Feng Chia University, October, Taiwan.

2021, “An Expected Improvement Approach to Subdata Selection ”, Institute of Statistics, National Tsing Hua University, October, Taiwan

2021, “Towards a unified theory to the selection of factorial designs”, Institute of Statistical Science, Academia Sinica, January, Taiwan.

2020, “Unreplicated Designs for Homogeneous Random Noise Exploration”, Institute of Statistical Science, Academia Sinica, December, Taiwan.

2020, “A unified framework for minimum aberration”, Department of Statistics, Tamkang University, October, Taiwan.

2020, “我們與統計的距離”, 國立中央大學理學院 109 學年院週會演講.

2020, “A unified framework for minimum aberration”, Institute of Statistical Science, Academia Sinica, May, Taiwan.

2019, “A general theory of multi-stratum factorial design”, Department of Statistics, National Chengchi University, October, Taiwan.

2019, “A general theory of multi-stratum factorial design”, Department of Statistics, National Taipei University, April, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Department of Statistics, National Cheng Kung University, October, Taiwan.

2018, “An introduction to multi-stratum factorial design”, Department of Industrial Engineering and Management, National Chiao Tung University, October, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Institute of Statistics, National University of Kaohsiung, September, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Department of Mathematics, National Chung Cheng University, May, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Institute of Statistics, National Tsing Hua University, April, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Department of Applied Mathematics & Institute of Statistics, National Chung Hsing University, April, Taiwan.

2018, “A general theory of multi-stratum factorial design”, Department of Statistics, Tunghai University, March, Taiwan.

2017, “The selection of efficient multi-stratum factorial designs: a Bayesian approach”, Department of Applied Mathematics, National Sun Yat-sen University, December, Taiwan.

2017, “The selection of efficient multi-stratum factorial designs: a Bayesian approach”, Department of Mathematics, Tamkang University, November, Taiwan.

2017, “The selection of efficient multi-stratum factorial designs: a Bayesian approach”, Graduate Institute of Statistics, National Central University, June, Taiwan.

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors”, Department of Applied Mathematics & Institute of Statistics, National Chung Hsing University, June, Taiwan.

2016, “Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors”, Postdoc Seminars, Institute of Statistical Science, Academia Sinica, June, Taiwan.

2015, “Aliasing in Gaussian random field regression models for qualitative factors”, Postdoc Seminars, Institute of Statistical Science, Academia Sinica, August, Taiwan.