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  1. Analyzing Spatial Correlation Patterns of Water Quality Variables in Fluvial Networks

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  2. Convolution-Smoothing-Based Locally Sparse Estimation for Functional Quantile Regression

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  3. Riemannian Bilevel Optimization

    Published in JMLR (2026)
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  4. Learning Network Structure for Ordinal Outcomes: An Application of Inductive Causation to Food Safety in Cambodia

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  5. A Spatial Capture–Recapture Model with Hawkes-Inspired Detection Rates to account for Animal Movement

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  6. Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff–Gaussian Processes

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  7. Biologically Informed Clustering of Gene Expression Density Patterns and Identification of Spatially Variable Genes

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  8. A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains

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  9. Clustered Temporal Decomposition for High-Dimensional Data

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  10. A Dimension-Reduced Multivariate Spatial Model for Extreme Events: Balancing Flexibility and Scalability

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  11. Spatiotemporal Analysis of Land Surface Plant Phenology

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  12. A Bayesian Parametric Approach to Capture–Recapture with Misidentification

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  13. A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires

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  14. Supervised Learning with Evolving Tasks and Performance Guarantees

    Published in JMLR (2026)
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  15. Correction: Square Array Designs for Unreplicated Test Treatments with Replicated Controls

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  16. Post-Stratified Inference for Pairwise Treatment Comparisons in Randomized Block Designs

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  17. Assessment of Local Influence in the Fitting of Lactation Curves Using Nonlinear Mixed Models

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  18. Comparison of the Growth Dynamics of Invasive Pseudorasbora parva in Three Different Freshwater Systems in Türkiye

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  19. California Statewide Action Plan for Asian Citrus Psyllid and Huanglongbing

    Published in Journal of Citrus Pathology (2025)
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