Editorial: Special section on latent variable models for longitudinal data

Latent-variable models for longitudinal data with bivariate ordinal outcomes.

We use the concept of latent variables to derive the joint distribution of bivariate ordinal outcomes, and then extend the model to allow for longitudinal data. Specifically, we relate the observed ordinal outcomes using threshold values to a bivariate latent variable, which is then modelled as a linear mixed model. Random effects terms are used to tie all together repeated observations from th...

Guest Editorial: Special Section on Music Data Mining

M USIC has been an important application area for data mining and machine learning techniques for many years. Music data mining is an interdisciplinary area that studies computational methods for understanding and delivering music data and is a topic of growing importance with large commercial relevance and substantial potential. It attracts researchers not only from computer science, electrica...

Special Section Guest Editorial

In recent years there has been a strong trend to enhance traditional research techniques in neuroscience with opticalbased techniques. The trend is evident on every level of neuroscience research, spatially spanning submicron to centimeters and temporally spanning submillisecond to seconds. Optical techniques are attractive because they enable researchers to study brain function from the smalle...

Special Section Editorial Preface

This special section of the International Journal of E-Business Research contains a selection of the best papers published in the E-Commerce Technologies track (ECT) of the 20th Symposium on Applied Computing (SAC 2005) held in Santa Fe, New Mexico on March 17, 2005. The ECT track has been held as part of SAC since 2003. The last years have seen an exponential growth and dramatic changes in the...

Special section editorial