Stat-Me
Outlier Detection Using Nonconvex Penalized Regression
Deep determinism and the assessment of mechanistic interaction between categorical and continuous variables
Function Estimation Using Data Adaptive Kernel Estimation - How Much Smoothing?
LASSO ISOtone for High Dimensional Additive Isotonic Regression
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow
Intent Inference and Syntactic Tracking with GMTI Measurements
A Nonparametric Frequency Domain EM Algorithm for Time Series Classification with Applications to Spike Sorting and Macro-Economics
Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome
Hyper-g Priors for Generalized Linear Models
Cluster Forests
Statistical Inference for Valued-Edge Networks: Generalized Exponential Random Graph Models
A Kernel Approach to Tractable Bayesian Nonparametrics
On Identifying Significant Edges in Graphical Models of Molecular Networks
Dos and donts of reduced chi-squared
Variable selection for transportability
Bayesian versus frequentist upper limits
Adapting to Non-stationarity with Growing Expert Ensembles
Heavy-Tailed Processes for Selective Shrinkage
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Topology Discovery of Sparse Random Graphs With Few Participants
The EM Algorithm and the Rise of Computational Biology
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
