TESTING DIFFERENCES BETWEEN MULTIPLE CORRELATIONS

Large-Scale Multiple Testing of Correlations.

Multiple testing of correlations arises in many applications including gene coexpression network analysis and brain connectivity analysis. In this paper, we consider large scale simultaneous testing for correlations in both the one-sample and two-sample settings. New multiple testing procedures are proposed and a bootstrap method is introduced for estimating the proportion of the nulls falsely ...

Modelling Input Varying Correlations between Multiple Responses

We introduced a generalised Wishart process (GWP) for modelling input dependent covariance matrices Σ(x), allowing one to model input varying correlations and uncertainties between multiple response variables. The GWP can naturally scale to thousands of response variables, as opposed to competing multivariate volatility models which are typically intractable for greater than 5 response variable...

Partial Knowledge in Multiple-Choice Testing

The intent of this study was to discover the nature of (partial) knowledge as estimated by the multiple-choice (MC) test method. An MC test of vocabulary, including 20 items, was given to 10 participants. Each examinee was required to think aloud while focusing on each item before and while making a response. After each test taker was done with each item, s/he was ...

SMMCOA: Maintaining Multiple Correlations between Overlapped Attributes Using Slicing Technique

-Knowledge discovery is the most discussed topic now a day. Data which is collected from various resources are processed through various stages and the output of this process is the knowledge which is previously hidden. Basically data mining is a technique whose outputs are previously unknown and potentially useful information from data. There are several challenges of data mining are scalabili...

Correlations Between