The concept of usability contains different analytic tools, which support developers to focus on important aspects of IT-system design and evaluation. Usability research has focused both cognitive aspects of IT-systems (such as how to design the user interface), as well as an understanding of the work tasks the user performs using the IT-system. This paper presents an analysis of a set of commo...

This paper investigates the usefulness of information criteria for inference on the number of structural breaks in a standard linear regression model. In particular, we propose a modified penalty function for such criteria based on theoretical arguments, which implies each break is equivalent to estimation of three individual regression coefficients. A Monte Carlo analysis compares information ...

We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a biascorrected adjustment of within-sample error. We focus on the choices involved in setting up these measures, and we compare them in three simple examples, one theoretical and two applied. The contribution of this p...

Recently several more efficient versions of quantum state tomography have been proposed, with the purpose of making tomography feasible even for many-qubit states. The number of state parameters to be estimated is reduced by tentatively introducing certain simplifying assumptions on the form of the quantum state, and subsequently using the data to rigorously verify these assumptions. The simpli...

The problem of evaluating the goodness of statistical models is investigated from an information-theoretic point of view. Information criteria are proposed for evaluating models constructed by various estimation procedures when the specified family of probability distributions does not contain the distribution generating the data. The proposed criteria are applied to the evaluation of models es...

In our recent work on concatenative speech synthesis, we have devised an efficient, graph-based search to perform unit selection given symbolic information. By encapsulating concatenation and substitution costs defined at the class level, the graph expands only linearly with respect to corpus size. To date, these costs were manually tuned over pre-specified classes, which was a knowledgeintensi...

SUBSET, written in the matrix language Gauss, is a program that identifies optimal subsets of means or proportions based on independent groups. All possible configurations of ordered subsets of groups are identified and the best model is selected using either the AIC or BIC information criterion. For means, both homogeneous and heterogeneous variance cases are considered. SUBSET offers an alter...