In this paper, a mixture model is estimated by the empirical likelihood (EL) approach. The functional delta method is implemented to exploit asymptotic properties of the estimator. EL constructs a weighted empirical process that converges to a Gaussian process and its estimator, with additional assumptions, converges a normal distribution with an asymptotic efficient covariance matrix. This app...

Our topic traces back to DEMING AND STEPHAN [1] who sought to reconcile an empirical joint distribution of two random variables with a priori known marginals for each and proposed an iterative scheme for determining a solution. Thus, in the case of finite probability spaces, the problem data consist of two probability vectors p0 and p1 together with the empirical joint probability matrix P = [p...

This paper deals with parallels of the fast matrix multiplication strassen's algorithm, winograd’s algorithm and analyzes empirical study of the matrix multiplication under the distributed environment in which PVM (Parallel Virtual Machine) environment is implemented. The contribution of this paper is that the parallelism of matrix-matrix multiplication need personal computer (or workstation cl...

Dantzig Selector (DS) is widely used in compressed sensing and sparse learning for feature selection and sparse signal recovery. Since the DS formulation is essentially a linear programming optimization, many existing linear programming solvers can be simply applied for scaling up. The DS formulation can be explained as a basis pursuit denoising problem, wherein the data matrix (or measurement ...

Gravity drainage is the main mechanism which controls the oil recovery from fractured reservoirs in both gas-cap drive and gas injection processes. The liquid bridge formed between two adjacent matrix blocks is responsible for capillary continuity phenomenon. The accurate determination of gas-liquid interface profile of liquid bridge is crucial to predict fracture capillary pressure precisely. ...

A B S T R A C T Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bitplanes. For steganalysis of PQ, we propose features extrac...

Over the past decade, various matrix completion algorithms have been developed. Thresholded singular value decomposition (SVD) is a popular technique in implementing many of them. A sizable number of studies have shown its theoretical and empirical excellence, but choosing the right threshold level still remains as a key empirical difficulty. This paper proposes a novel matrix completion algori...