Birs- 17w5076: Synthesis of Statistics, Data Mining and Environmental Sciences in Pursuit of Knowledge Discovery

  1. Title:
    Furthering Our Understanding of the Link between Health and Environment in an Urban Setting

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  2. Title:
    Big Data, Downscaling, and Interdisciplinary Approaches to Understanding Extreme Events

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    Multi-objective optimization for generating a weighted multi-model ensemble by applying the Virtual Information Fabric Infrastructure (VIFI) distributed analytics framework

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  4. Title:
    Data-geometry and resampling-based inference for selecting predictors for monsoon precipitation

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    Real-time Social Internet Data to Guide Desease Forecasting Models

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  6. Title:
    Agent-Based (and other) Modeling with Synthetic Populations

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  7. Title:
    Uncertainty Quantification of Spatio-Temporal Flows with Deep Learning

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  8. Title:
    Stochastic Modeling for Climate Change Velocities

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  9. Title:
    Bayesian Multiple Breakpoint Detection: Mixing Documented and Undocumented Changepoints

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  10. Title:
    Deep Learning: A Bayesian Perspective

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  11. Title:
    Paleoclimate constraints on the spatio-temporal character of past and future drought in climate models

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  12. Title:
    Spatiotemporal modelling of ocean surface drifter trajectories

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  13. Title:
    Statistical challenges in the analysis of high-dimensional spatial and spectral data in environmental science

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  14. Title:
    A projection-based approach for spatial generalized linear mixed models

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  15. Title:
    Two approaches to species distribution modeling to consider climate change

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  16. Title:
    Modeling Climate Change Impacts on Agricultural Production and Implications for Risk Management

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  17. Title:
    Genetic diversity in space and time, an insurance vs climate change

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  18. Title:
    Spatial trend analysis of gridded temperature data sets at varying spatial scales

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