Statistical graphics play a crucial role in exploratory data analysis, model checking and diagnosis. Until recently there were no formal visual methods in place for determining statistical significance of findings. This changed, when Buja et al. [2009] conceptually introduced two protocols for formal tests of visual findings. In this paper we take this a step further by comparing the lineup pro...

In their landmark paper [1], Bray and Savin note that the constant parameters model used by their agents to form expectations is misspecified and that, using standard econometric techniques, agents may be able to determine the time-varying nature of the model’s parameters. Here, we consider the same type of model as employed by Bray and Savin except that our agents form expectations using a per...

Automatic Modulation Recognition is considered significant in Communication Intelligence (COMINT) applications such as signal interception for mobile communication, defense, civil authority, and surveillance. It is also the key for threat analysis. Recently many algorithms have been proposed to distinguish digitally modulated signals. In this paper, we present and evaluate some problems related...

Consider one observes n i.i.d. copies of a random variable with a probability distribution that is known to be an element of a particular statistical model. In order to define our statistical target we partition the sample in V equal size sub-samples, and use this partitioning to define V splits in an estimation sample (one of the V subsamples) and corresponding complementary parameter-generati...