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High Dimensional Supervised Classification and Clustering
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Detect Change Points in Means of High Dimensional Data
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Penalized Mixture Cure Models for High-Dimensional Data
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Sample Size Calculation for High Dimensional Classification Study
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Use Known Groups in High-Dimensional Data to Derive Scores for Plots
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Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests
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Methods for Mediation Analysis with High-Dimensional Mediators
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High-Dimensional Location Testing with Normal-Reference Approaches
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Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
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Multivariate and Functional Spatial Scan Statistics
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Financial Projections and Planning for Health Care Practices
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Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
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An Implementation of the Hedged Random Forest Algorithm
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Tools for Environmental Analyses, Ecotoxicology and Various R Functions
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Hierarchical Ensemble Methods for Directed Acyclic Graphs
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Visualizing Hypothesis Tests in Multivariate Linear Models
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Heritability of Gene Expression for Next-Generation Sequencing
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Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
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Test of No Main and/or Interaction Effects in Functional Data
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Spatial Functions for Heterogeneity and Climate Variability
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Copula Graphical Models for Heterogeneous Mixed Data
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Heteroskedastic Gaussian Process Modeling and Design under Replication