Anomalities in the Analysis of Calibrated Data

ANOVA for diffusions and Itô processes

Application of Quantum Theory to Super-parametric Density Estimation

Applications of the Likelihood Theory in Finance: Modelling and Pricing

Approximate conditional inference for panel logit models allowing for state dependence and unobserved heterogeneity

Approximate cost-efficient sequential designs for binary response models with application to switching measurements

Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling

Approximating a geometric fractional Brownian motion and related processes via discrete Wick calculus

Approximating a sequence of observations by a simple process

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