Data spectroscopy: Eigenspaces of convolution operators and clustering

Decentralized, Adaptive, Look-Ahead Particle Filtering

Decomposable Principal Component Analysis

Degenerating families of dendrograms

Dependency detection with similarity constraints

Differential Privacy for Functions and Functional Data

Differential Privacy with Compression

Dimension reduction and variable selection in case control studies via regularized likelihood optimization

Dimension reduction in representation of the data

Dimension Reduction Using Rule Ensemble Machine Learning Methods: A Numerical Study of Three Ensemble Methods

Dimensionally Constrained Symbolic Regression

Directional Statistics on Permutations

DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

Dirichlet Process Mixtures of Generalized Linear Models

Discovering Emerging Topics in Social Streams via Link Anomaly Detection

Discovering Graphical Granger Causality Using the Truncating Lasso Penalty

Discovering shared and individual latent structure in multiple time series

Discrete Temporal Models of Social Networks

Discriminant Analysis with Adaptively Pooled Covariance

Distance Dependent Chinese Restaurant Processes