Choice of neighbor order in nearest-neighbor classification

Choosing a penalty for model selection in heteroscedastic regression

Classes of Multiple Decision Functions Strongly Controlling FWER and FDR

Classification and estimation in the Stochastic Block Model based on the empirical degrees

Classification supervisée en grande dimension. Application à l'agrément de conduite automobile

Classification via local multi-resolution projections

Classification with Minimax Fast Rates for Classes of Bayes Rules with Sparse Representation

Classifier Technology and the Illusion of Progress

Closed form expressions for Bayesian sample size

Closed-Form Bayesian Inferences for the Logit Model via Polynomial Expansions

Closed-form likelihood expansions for multivariate diffusions

CLT in Functional Linear Regression Models

Cluster Detection in Networks using Percolation

Clustering rates and Chung type functional laws of the iterated logarithm for empirical and quantile processes

Coarse-grained modeling of multiscale diffusions: the p-variation estimates

Coding on countably infinite alphabets

Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise

Cohort sampling schemes for the Mantel-Haenszel estimator: Extensions to multilevel covariates, stratified models, and robust variance estimators

Combining domain knowledge and statistical models in time series analysis

Combining independent, arbitrarily weighted P-values: a new solution to an old problem using a novel expansion with controllable accuracy