Fields- Statistical Inference, Learning and Models in Data Science
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Title: How much information is required to well-constrain local estimates of future precipitation extremes?
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Title: Sensor network analytics and applications
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Title: The analysis of extreme values: the challenges of «more» data
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Title: Towards A General Theory of Visualization Weirdness
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Title: The communicative value of data visualizations
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Title: Criminological Data Science, with examples on police shootings, marijuana, gangs, and performance measurement
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Title: Omitted and included variable bias in tests for disparate impact
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Title: Why Ontologies Matter in the World of Opend Data
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Title: Data integration and analysis for personalized medicine
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Title: Risk prediction and decision modeling for precision early detection in prostate cancer
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Title: Methods for difference-in-differences studies
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Title: Principled Statistical Inference in Data Science
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Title: High-dimensional Semi-supervised Learning: in search of optimal inference
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Title: ABC Variable Selection with Bayesian Forests
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Title: Statistical Analysis of Network Data: Foundations (Still!) Under Construction
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Title: Optimal model-assisted design of experiments on social and information networks
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Title: Let's Make Block Coordinate Descent Go Fast
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Title: Applications of the Generalized Conditional Gradient Algorithm
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Title: Optimization's Hidden Gift to Learning: Implicit Regularization
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