hypothesis testing

We present a novel computational model that describes action perception as an active inferential process that combines motor… (More)

In this article, we study the problem of testing the mean vectors of high dimensional data in both one-sample and two-sample… (More)

Bayesian statistical analysis provides a useful alternative to classical statistical methods for testing hypotheses. Tools are… (More)

This article introduces a new approach for evaluating replication results. It combines effect-size estimation with hypothesis… (More)

We identified dynamic changes in recruitment of neural connectivity networks across three phases of a flexible rule learning and… (More)

Clinical research studies generate data that need to be shared and statistically analyzed by their participating institutions… (More)

Difference between "Clinical Significance and Statistical Significance" should be kept in mind while interpreting "statistical… (More)

One of the primary challenges in noninvasive brain-computer interface (BCI) control is low information transfer rate (ITR). An… (More)

Few clinicians grasp the true concept of probability expressed in the 'P value.' For most, a statistically significant P value is… (More)

We propose a novel non-parametric solution for accurate distance-based source localization in wireless sensor networks (WSN's… (More)