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2024

• Nonparametric Inference on Dose-Response Curves Without the Positivity Condition. (Slide, 2024, Nov.) Conference on Statistical Learning and Data Science 2024, Newport Beach, CA.

• Nonparametric Inference on Dose-Response Curves Without the Positivity Condition. (2024, Sep.) National Tsing-Hua University, Taipei, Taiwan.

• Nonparametric Inference on Dose-Response Curves Without the Positivity Condition. (2024, Aug.) National Taiwan University, Taipei, Taiwan.

• Nonparametric Inference on Dose-Response Curves Without the Positivity Condition. (Slide, 2024, Aug.) Academia Sinica, Taipei, Taiwan.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2024, Mar.) Washington University in St. Louis, St. Louis, MO.

2023

• Pattern graphs: a graphical approach to nonmonotone missing data. (2023, Nov.) Carnegie Mellon University, Pittsburgh, PA.

• Skeleton Clustering and Regression. (2023, Aug.) Joint Statistical Meeting 2023, Toronto, Canada.

• Skeleton Clustering and Regression. (Slide, 2023, Aug.) 2023 International Conference for Statistics and Data Science, Taipei, Taiwan.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2023, July) Academia Sinica, Institute of Statistical Sciences, Taipei, Taiwan.

• When geometry and statistics meet cosmology: the challenge of detecting cosmic webs. (Slide, June, 2023) SCMA 8, Penn State University, State College, PA.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2023, Apr.) University of Michigan, Ann Arbor, MI.

2022

• Pattern graphs: a graphical approach to nonmonotone missing data. (2022, Nov.) Biostatistics seminar, Thomas Jefferson University, Philadelphia, PA.

• Noether award: nonparametric missing data: pattern graph. (Slide, 2022, Aug.) Joint Statistical Meeting, Washington, DC.

• When geometry and statistics meet cosmology: the challenge of detecting cosmic webs. (2022, Aug.) Joint Statistical Meeting, Washington, DC.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2022, May) Biostatistics seminar, University of Washington, Seattle, WA.

• When geometry and statistics meet cosmology: the challenge of detecting cosmic webs. (Slide, 2022, Apr.) Washington State University, Pullman, WA.

2021

• Finding cosmic filament by directional ridge finding algorithm. (Slide, 2021, Dec.) CANSSI-Ontario Data Science Applied Research & Education Seminar,University of Toronto, Toronto, CA.

• Finding cosmic filament by directional ridge finding algorithm. (2021, Aug.) Joint Statistical Meeting, Seattle, WA.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2021, Jun.) Ecostat 2021, Hong Kong.

2020

• Pattern graphs: a graphical approach to nonmonotone missing data. (2020, Dec.) 2020 ICSA Applied Statistics Symposium, Houston, TX

• Pattern graphs: a graphical approach to nonmonotone missing data. (Slide, 2020, Nov.) University of California, Santa Cruz, California.

• Pattern graphs: a graphical approach to nonmonotone missing data. (2020, Oct.) INRIA-Saclay, Palaiseau, France.

• Solution manifold and its statistical applications. (Slide, 2020, Aug.; JSM Live session #438 on Thursday morning) Joint Statistical Meeting, Philadelphia, PA.

• Pattern graphs: a graphical approach to nonmonotone missing data. (Slide, 2020, Mar.) UW Causal-missing reading group, Seattle, WA.

• Analyzing GPS data using density ranking. (2020, Feb.) Texas A&M University, College Station, TX

• Two insights from nonparametric statistics on cosmology research. (Slide, 2020, Feb.) Workshop on Statistical Methods in Astronomy, College Station, TX

2019

• Nonparametric Pattern-Mixture Models for Inference with Missing Data. (Slide, 2019, Nov) AMS sectional meeting special session on Data Science, Riverside, CA.

• Analyzing GPS data using density ranking. (2019, Sep.) George Mason University, Fairfax, VA.

• Analyzing Cosmic Webs using Geometric Approaches. (2019, July) University of Rome-Tor Vergata, Rome, Italy.

• Statistical Inference with Local Optima. (2019, June) The 3rd International Conference on Econometrics and Statistics (EcoSta 2019), National Chung Hsing University , Taichung, Taiwan.

• Analyzing GPS data using density ranking. (Slides, 2019, Mar.) Workshop on Functional Inference and Machine Intelligence, the Institute of Statistical Mathematics, Tokyo, Japan.

• Statistical Inference with Local Optima. (Slides, 2019, Mar.) AMS Spring Southeastern Sectional Meeting, Auburn University, Auburn, AL.

• Density Tree and Density Ranking in Singular Measures. (Slides, 2019, Feb.) Biostatistics Seminar at the Fred Hutchinson Cancer Research Center, Seattle, WA.

• Density Tree and Density Ranking in Singular Measures. (Slides, 2019, Jan) Statistics and Data Science: Beyond big, corrupted or missing data. University of California, San Diego, La Jolla, CA.

2018

• Density Tree and Density Ranking in Singular Measures. (Slides, 2018, Mar.) The 42nd SIAM Southeastern Atlantic Sectional Conference, Chapel Hill, NC.

• Density Tree and Density Ranking in Singular Measures. (Slides, 2018, Jun.) The Conference on Statistical Learning and Data Science, New York City, NY.

• Density Tree and Density Ranking in Singular Measures. (Slides, 2018, Jun.) The IMS Asia Pacific Rim Meeting (IMS-APRM), Singapore.

• Analyzing Cosmic Webs using Geometric Approaches. (Slides, 2018, Jul.) 2018 IMS Annual Meeting on Probability and Statistics, Vilnius, Lithuania.

• Density Tree and Density Ranking in Singular Measures. (2018, Jul.) IMS New Researcher Meeting, Vancouver, BC.

• Analyzing Cosmic Webs Using Geometric Approaches. (2018, Aug.) 2018 Joint Statistical Meetings, Vancouver, BC.

2017

• Community Trees in Networks. (Slides, Paper, 2017, Dec) NIPS workshop “Synergies in Geometric Data Analysis”.
• Analyzing GPS datasets using density ranking. (Slides, 2017, Nov.) UW CSSS seminar.
• Density Tree and Density Ranking in Singular Measures. (Slides, 2017, Oct.) University of Tennessee, Knoxville, TN.
• Density Tree and Density Ranking in Singular Measures. (2017, Oct.) UW Machine Learning Seminar.
• Geometric and Topological Data Analysis. (Slides, 2017, Sep.) Departmental orientation.
• Nonparametric Inference via Bootstrapping the Debiased Estimator. (Slides, 2017, Aug.) 3rd ICSA Canada Chapter Symposium, Vancouver, BC, Canada.
• Nonparametric Inference via Bootstrapping the Debiased Estimator. (2017, Aug.) Joint Statistical Meeting 2017, Baltimore, MD.

2016

• Statistical Inference using Geometric Features. (Slides, 2016, Dec.) National Taiwan University, Taipei, Taiwan.
• Statistical Inference using Geometric Features. (Slides, 2016, Dec.) Academia Sinica, Taipei, Taiwan.
• Asymptotic Theory for Density Ridges. (2016, Aug.) 2016 International Indian Statistical Association Conference, Oregon State University, Corvallis, OR.
• Nonparametric Methods for Detecting Large-Scale Structure. (2016, Aug.) Joint Statistical Meeting, Chicago, IL.
• Cosmic Web Reconstruction through Density Ridges. (2016, June) Statistical Challenges in Modern Astronomy VI, Pittsburgh, PA.
• Cosmic Web Reconstruction through Density Ridges. (Slides, 2016, May) Statistical Challenges in 21st Century Cosmology, Chania, Greece.
• Statistical Inference using Geometric Features. (Slides, 2016)

2015

• Statistical Inference using Geometric Features. (2015, Dec.) INRIA-Saclay, Palaiseau, France.
• Statistical Inference using Geometric Features. (2015, Dec.) Pierre and Marie Curie University (UPMC Paris 6), Paris, France.
• Asymptotic Theory for Density Ridges. (Slides, 2015, Dec.) 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of London, London, UK.
• Asymptotic Theory for Density Ridges. (Slides, 2015, Nov.) AMS Fall Eastern Sectional Meeting, Rutgers University, New Brunswick, NJ.
• Cosmic Web Reconstruction from Density Ridges. (Slides, 2015, Sep.) University of Pittsburgh, Pittsburgh, PA.
• Nonparametric Modal Regression. (Slides, 2015, Aug.) Joint Statistical Meeting, Seattle, WA.
• Cosmic Web Reconstruction through Density Ridges. (Slides, 2015, Jun.) Academia Sinica Institute of Astronomy and Astrophysics, Taiwan.
• Statistical Inference for Shards. (Slides, 2015, May) National Taiwan University, Taiwan.
• Cosmic Web Reconstruction from Density Ridges. (Slides, 2015, Feb.) Carnegie Mellon University, Pittsburgh, PA.
• Nonparametric Modal Regression. (2015, Jan.) Carnegie Mellon University, Pittsburgh, PA.

2014

• Filament Estimation and Uncertainty Measures. (2014, Aug.) Joint Statistical Meeting, Boston, MA.
• Enhanced Mode Clustering. (Slides, 2014, May) National Taiwan University, Taiwan.

2013

• Filament Estimation and Uncertainty Measures. (2013, May) National Taiwan University, Taiwan.

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