Approximating conditional distribution functions using dimension reduction

Approximating distribution functions by iterated function systems

Approximating the inverse of a symmetric matrix with non-negative elements

Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics

Approximation and learning by greedy algorithms

Approximation by log-concave distributions, with applications to regression

Approximation for general bootstrap of empirical processes with an application to kernel-type density estimation

Approximation of Bounds on Mixed Level Orthogonal Arrays

Approximation of conditional densities by smooth mixtures of regressions

Approximation Operators, Exponential, q-Exponential, and Free Exponential Families

Approximation properties of certain operator-induced norms on Hilbert spaces

Approximations of fractional Brownian motion

Are adaptive allocation designs beneficial for improving power in binary response trials?

Array Variate Elliptical Random Variables with Multiway Kronecker Delta Covariance Matrix Structure

Array Variate Skew Normal Random Variables with Multiway Kronecker Delta Covariance Matrix Structure

Assessing prediction error of nonparametric regression and classification under Bregman divergence

Assessing the Distribution Consistency of Sequential Data

Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data

Asymptotic admissibility of priors and elliptic differential equations

Asymptotic approximation of nonparametric regression experiments with unknown variances