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Browsing by Author "Jonathan Williams, Member"

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    A Bayesian Interpretation of Renewable Estimation for Causal Inference.
    (2023-03-10) Settle, Annabel; Emily Hector, Chair; Emily Griffith, Member; Jonathan Williams, Member
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    Calibrating Generalized Posterior and Predictive Distributions.
    (2022-02-17) Wu, Pei-Shien; Ryan Martin, Chair; Paul Swartz, Graduate School Representative; Jonathan Williams, Member; Brian Reich, Member; Rui Song, Member
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    Classification, Regression and Dimension Reduction with High-Dimensional Data.
    (2022-07-13) Chen, Yin Jen; Minh Tang, Chair; Ilze Kalnina, Graduate School Representative; Wenbin Lu, Member; Jung-Ying Tzeng, Member; Jonathan Williams, Member
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    Deep-Sea Mussel Shell Geochemistry Infers Spatiotemporal Separation of Larval Population Pools and Methane Seep Environmental Variability.
    (2025-07-15) Grace, Ian James; David Eggleston, Chair; Jonathan Williams, Member; Ethan Hyland, Member; Joel Fodrie, Inter-Institutional
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    Global Optimization and Time Series Forecasting.
    (2024-04-09) Zhang, Xinyu; Sujit Ghosh, Chair; Marie Davidian, Member; Jonathan Williams, Member; Mehmet Caner, Member
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    Nonparametric Bayesian Inference Under Shape Restrictions.
    (2023-07-19) Wang, Kang; Subhashis Ghoshal, Chair; Sujit Ghosh, Member; Ryan Martin, Member; Jonathan Williams, Member; Craig Friend, Graduate School Representative
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    Sparsity-encouraging Data-driven Priors in High-dimensional Problems.
    (2023-07-18) Tang, Yiqi; Ryan Martin, Chair; Ana-Maria Staicu, Member; Sujit Ghosh, Member; Jonathan Williams, Member; Amanda Lietz, Graduate School Representative
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    Statistical Methodologies for Segmenting Spatial Point Patterns and Environmental Hazard Applications.
    (2024-06-24) Sheng, Alvin; Ana-Maria Staicu, Co-Chair; Brian Reich, Co-Chair; Luo Xiao, Member; Jonathan Williams, Member; Elizabeth Thompson, Graduate School Representative

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