A survey of recent developments in the theory and application of composite likelihood is provided, building on the review paper of Varin (2008). A range of application areas, including geostatistics, spatial extremes, and space-time models, as well as clustered and longitudinal data and time series are considered. The important area of applications to statistical genetics is omitted, in light o...

This special issue ‘Statistical learning methods including dimensionality reduction’ is concerned with situations where the main statistical problem of interest, for example regression, discrimination (supervised classification), and clustering (unsupervised classification), is to be combined with dimension reduction methods. The general objective of this special issue is to collect and present...

The notion of comparatively positioning objects with respect to each other is commonly called ranking. With respect to databases, the ranking issue is closely associated with data retrieval. Yu, Hwang, and Chang (2007) highlight that with the myriad of databases situated online, retrieving relevant data is problematic; in reality it becomes an online ranking problem (Chaudhuri, Das, Hristidis, ...

The management of soil organic matter (SOM) is fundamental in agriculture for conservation and crop yields. However, addition the being dynamics, it heterogeneous, therefore, understanding spatial variability SOM essential. main objective this study was to evaluate a cassava cultivation under different management, seeking classify its dependence by geostatistics. A filed experiment conducted ou...