13 Knowledge about how many sh that have been killed due to bycatch is an important 14 aspect of ensuring a sustainable ecosystem and shery. We introduce a Bayesian spatio15 temporal prediction method for historical bycatch that incorporates two sources of available 16 data sets, shery data and survey data. The model used assumes that occurrence of bycatch 17 can be described as a log-linear co...

The structure of wild animal social systems depends on a complex combination intrinsic and extrinsic drivers. Population structuring spatial behaviour are key determinants individuals’ observed behaviour, but quantifying these components alongside multiple other drivers remains difficult due to data scarcity analytical complexity. We used 43-year dataset detailing red deer population investigat...

In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them the widely used Besag–York–Mollié (BYM) These models assume that excess of dispersion in may be partially caused possible dependence existing among different units. Thus, s...

This article introduces a Laplace approximation to Bayesian inference in Dirichlet regression models, which can be used analyze set of variables on simplex exhibiting skewness and heteroscedasticity, without having transform the data. These data, mainly consist proportions or percentages disjoint categories, are widely known as compositional data common areas such ecology, geology, psychology. ...