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A method for model selection applied to simple linear versus two-phase linear models
Advancements In the elicitation, aggregation, and forecasting of probability distributions under time constraints
Automatic detection and classification of toothed whale echolocations clicks in diverse long term recordings
Bayesian joint modeling of longitudinal visual  field data with correlated binary and survival  outcomes
Corpus-Based Methods for the Unsupervised Grading of Short Answer Questions
Finger Position Data Acquisition System For Cross-Modal Tactile/Visual Cognition Studies
Forecasting MLB performance utilizing a Bayesian approach in order to optimize a fantasy baseball draft
GPS tracking tool
Generalized varying-coefficient mixed models with missing data and surrogate information
Improving Student Success in Calculus: A Comparison of Four College Calculus Classes
JPEG to STL Translation Software for Color/Texture Mapping in Support of 3D Printing of Surfaces Used in Visual/Tactile Cross-Modal Cognitive Neuroscience Research
Large-scale inference incorporating covariates and network dependence, with application to genome-wide association studies
Machine learning methods for course enrollment prediction
Model considerations for multi-entry competitions
Novel Random Forest And Variable Importance Methods For Correlated Survival Data, With Applications To Tooth Prognosis
Novel Random Forest Methods Applied to Medical Studies
Novel random forest and variable importance methods for clustered data
Optimizing a multi-species monitoring design :  a case study from an agroecosystem
Predicting glaucoma progression using random forests for correlated binary response based on longitudinally collected standard automated perimetry data

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