Accurate inference for a one parameter distribution based on the mean of a transformed sample

Accurate Parametric Inference for Small Samples

Accurate, high-throughput, low-cost testing of infrared focal plane arrays for defense-related systems

Active Bayesian Optimization: Minimizing Minimizer Entropy

Active Set and EM Algorithms for Log-Concave Densities Based on Complete and Censored Data

Adapting System-of-Systems Engineering for the Advancement of the Mars Exploration Program

Adaptive bridge regression modeling with model selection criteria

Adaptive estimation of vector autoregressive models with time-varying variance: application to testing linear causality in mean

Adaptive First-Order Methods for General Sparse Inverse Covariance Selection

Adaptive inference for the mean of a stochastic process in functional data

Adaptive optimal allocation in stratified sampling methods

Adaptive Optimal Scaling of Metropolis-Hastings Algorithms Using the Robbins-Monro Process

Adaptive pointwise estimation in time-inhomogeneous conditional heteroscedasticity models

Adaptive post-Dantzig estimation and prediction for non-sparse "large $p$ and small $n$" models

Adaptive Ridge Selector (ARiS)

Adaptive sequential Monte Carlo by means of mixture of experts

Adaptive SVD Soft-thresholding Estimators in Multivariate Regression

Adaptive Thresholding for Sparse Covariance Matrix Estimation

Adding an astrophysically motivated detection confidence test, Effective Distance Ratio, to our standard confidence tests for Inspiral Candidate Events

Adjusting for Network Size and Composition Effects in Exponential-Family Random Graph Models