The continuous symmetry methodology has been developed to provide a quantitative estimation for the degree of a selected symmetry point-group in a molecular structure. Previous developed measures included the C(S), C(n), S(n) (including C(i)) symmetries, several polyhedral symmetries, and the related chirality measure. Motivated by the abundance and importance of C(nv) symmetry in many key mole...

Abstract Hierarchical N‐mixture models have been suggested for abundance estimation from spatiotemporally replicated drone‐based count surveys, since they allow modeling of unmarked individuals while accounting detection errors. However, it is still necessary to understand how these perform in the wide variety contexts and species which drone surveys are being used. This knowledge fundamental p...

Large-scale monitoring programmes often make inferences about insect abundance based on count data collected using some probability-based sampling technique. Unfortunately, it is rather difficult to obtain reliable estimates of insect abundance from count data unless the scale is very fine or localized. A major issue, that has to be explicitly addressed when estimating insect abundance, is the ...

An important and well-studied problem in hyperspectral image data applications is to identify materials present in the object or scene being imaged and to quantify their abundance in the mixture. Due to the increasing quantity of data usually encountered in hyperspectral datasets, effective data compression is also an important consideration. In this paper, we develop novel methods based on ten...

In several application areas, we see the need for accurate statistical modeling of multivariate time series of counts as a function of relevant covariates. In ecology, count responses on species abundance are observed over several time periods at several locations, and the covariates that influence the abundance may be location-specific and/or time-varying. This paper describes a Bayesian frame...