Most approaches to the problem of source separation use the assumption of statistical independence. To capture statistical independence higher order statistics are required. In this chapter we will demonstrate how higher order criteria, such as maximum kurtosis, arise naturally from the property of non-stationarity. We will also show that source separation of non-stationary signals can be based...

A historical increase in the number of factors purportedly measured by commercial tests of cognitive ability may result from four distinct pressures including: increasingly complex models of intelligence, test publishers' desires to provide clinically useful assessment instruments with greater interpretive value, test publishers' desires to include minor factors that may be of interest to resea...

The assignment of query protein sequences to probable folds in a threading approach is based on the statistical analysis (learning) of structural properties of amino acids in known protein structures. We formalize the recognition problem in terms of mathematical statistics, namely statistical hypothesis testing. Our general formulation leads to various mathematical forms of a decision rule func...

We introduce the notion of statistical distortion as an essential metric for measuring the effectiveness of data cleaning strategies. We use this metric to propose a widely applicable yet scalable experimental framework for evaluating data cleaning strategies along three dimensions: glitch improvement, statistical distortion and cost-related criteria. Existing metrics focus on glitch improvemen...

The purpose of this article is to improve modeling of statistical properties of solar radiation models through the analysis of measurement data on the ground in the intertropical zone. For this, we identify, using information criteria, the probabilistic distributions introduced in two models of synthetic solar radiation generation. We then validate the results by using the KL divergence and KSI...

This article seeks to overcome the problem of structuring multi-criteria decision problems in a scientifically valid way. For this purpose, we theoretically and empirically compare two techniques which can be used for the purpose of structuring problem domains: card sorting procedures and statistical web mining. Based on two empirical test cases we assess whether decision structuring is reliabl...

Review scope Included studies compared ChEIs (donepezil, rivastigmine, galantamine, or tacrine) with placebo for ≥ 1 month in adults with mild cognitive impairment (as defined by each study but including subjective memory complaint and relatively preserved daily functioning). Primary outcomes were progression to dementia, which included Alzheimer disease (National Institute of Neurological and ...

We conduct a comparative analysis on various estimates of the number of clusters in community detection. An exhaustive comparison requires testing of all possible combinations of frameworks, algorithms, and assessment criteria. In this paper we focus on the framework based on a stochastic block model, and investigate the performance of greedy algorithms, statistical inference, and spectral meth...

In this paper, the cooperation of two feature families for handwritten digit recognition using a committee of Neural Network NN classifiers will be examined. Various cooperation schemes will be investigated and corresponding results will be presented. To improve the system reliability, we will upgrade the committee scheme using multistage classification based on rule-based and statistical coope...

In this paper, using the concept of natural density, we introduce the notion of Wijsman rough λ statistical convergence of order α triple sequence of functions. We define the set of Wijsman rough λ statistical convergence of order α of limit points of a triple sequence spaces of functions and obtain Wijsman λ statistical convergence of order α criteria associated with this set. Later, we prove ...