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.
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.
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
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.
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.
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