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When medical companies manufacture the pills and tablets that treat any number of illnesses, aches, and pains, they need to isolate the active pharmaceutical ingredient from a suspension and dry it. T...
Estimator for Number of Sources using Minimum Description Length Criterion for Blind Sparse Source Mixtures
Minimum Description Length Criterion Blind Sparse Source Mixtures
2015/9/29
In this paper I present a Minimum Description Length Estimator for number of sources in an anechoic mixture of sparse signals.The criterion is roughly equal to the sum of negative normalized maximum l...
Information Theory Based Estimator of the Number of Sources in a Sparse Linear Mixing Model
Information Theory Estimator of the Number of Sources Sparse Linear Mixing Model
2015/9/29
In this paper we present an Information Theoretic Estimator for the number of sources mutuallydisjoint in a linear mixing model. The approach follows the Minimum Description Length prescription and is...
Asymptotic Distribution of MisspeciÖed Random E§ects Estimator for a Dynamic Panel Model with Fixed E§ects When Both n and T are Large
panel model random e§ects
2015/9/22
We consider a dynamic panel AR(1) model with Öxed e§ects when both n and T are large. It is shown
that the MLE motivated by the random e§ects assumption is asymptotically unbiased even when the
...
A Unified Near-Optimal Estimator For Dimension Reduction in lα (0 < α ≤ 2) Using Stable Random Projections
Near-Optimal Estimator Dimension Reduction Stable Random Projections
2015/8/21
Many tasks (e.g., clustering) in machine learning only require the lα distances instead of the original data. For dimension reductions in the lα norm (0 < α ≤ 2), the method of stable random projectio...
On An Efficient Two-Step Estimator for Dynamic Simultaneous Equation Models with Autoregressive Errors
Dynamic Simultaneous Equation Models Autoregressive Errors
2015/8/5
On An Efficient Two-Step Estimator for Dynamic Simultaneous Equation Models with Autoregressive Errors.
Combined Ridge-stein Estimator in Exterior Orientation for Linear Pushbroom Imagery
exterior orientation pushbroom
2015/7/8
The paper presents the combined ridge-stein estimator (CRS) for linear pushbroom imagery exterior orientation, which is severely
ill-conditioned for the strong correlation among exterior orientation ...
Price volatility spillovers among agricultural commodity and crude oil markets: Evidence from the range-based estimator
agricultural commodity market financial crisis of 2008–2009 futures markets historical price volatility intra-day data
2015/6/8
The paper examines the price volatility spillovers among the crude oil, soybeans, corn, wheat, and sugar futures markets over the period 1/1/2006–11/29/2013. We separately investigate the periods of t...
A Site-sPecific Agricultural water Requirement and footprint Estimator (SPARE:WATER 1.0)
ite-sPecifi c Agricultural water footprint Estimator
2014/12/12
The agricultural water footprint addresses the
quantification of water consumption in agriculture, whereby
three types of water to grow crops are considered, namely
green water (consumed rain...
Asymptotic normality of a Sobol index estimator in Gaussian process regression framework
Sensitivity analysis Gaussian process regression asymptotic normality stochas-tic simulators Sobol index
2013/6/14
Stochastic simulators such as Monte-Carlo estimators are widely used in science and engineering to study physical systems through their probabilistic representation. Global sensitivity analysis aims t...
A Semiparametric Estimator for Long-Range Dependent Multivariate Processes
Multivariate processes Long-range dependence Semiparametric estimation VARFIMA processes Asymptotic theory
2013/6/14
In this paper we propose a generalization of a class of Gaussian Semiparametric Estimators (GSE) of the fractional differencing parameter for long-range dependent multivariate time series. We generali...
Moderate deviations for a nonparametric estimator of sample coverage
Sample coverage moderate deviations Good’s estimator
2013/6/14
In this paper, we consider moderate deviations for Good's coverage estimator. The moderate deviation principle and the self-normalized moderate deviation principle for Good's coverage estimator are es...
Performance of the stochastic MV-PURE estimator in highly noisy settings
robust linear estimation reduced-rank estimation stochastic MV-PURE estimator array signal processing
2013/4/28
The stochastic MV-PURE estimator has been developed to provide linear estimation robust to ill-conditioning, high noise levels, and imperfections in model knowledge. In this paper, we investigate the ...
A closed-form estimator for the multivariate GARCH(1,1) model
Multivariate GARCH(1,1) VARMA Temporal Aggregation Es-timation
2013/4/27
We provide a closed-form estimator based on the VARMA representation for the unrestricted multivariate GARCH(1,1). We show that all parameters can be derived using basic linear algebra tools. We show ...
Variance estimation and asymptotic confidence bands for the mean estimator of sampled functional data with high entropy unequal probability sampling designs
covariance function finite population Hajek approximation Horvitz-Thompso estimator Kullback-Leibler divergence rejective sampling unequal probability sampling without replacement
2012/11/23
For fixed size sampling designs with high entropy it is well known that the variance of the Horvitz-Thompson estimator can be approximated by the H\'ajek formula. The interest of this asymptotic varia...