Environmental data are spatial, temporal, and often come with many zeros. In this paper, we included space–time random effects in zero-inflated Poisson (ZIP) and ‘hurdle’ models to investigate haulout patterns of harbor seals on glacial ice. The data consisted of counts, for 18 dates on a lattice grid of samples, of harbor seals hauled out on glacial ice in Disenchantment Bay, near Yakutat, Ala...

A composite loss framework is proposed for low-rank modeling of data consisting of interesting and common values, such as excess zeros or missing values. The methodology is motivated by the generalized low-rank framework and the hurdle method which is commonly used to analyze zero-inflated counts. The model is demonstrated on a manufacturing data set and applied to the problem of missing value ...

In this study, the expenditures of food away from home households are examined using Household Consumption Expenditure Survey, which was conducted by Turkish Institute Statistics 2002 to 2018. We adopt Dependent Double Hurdle model with incorporation age, period, and cohort effects impact socio-demographic variables. Analysis results reveal that age significant in both participation consumption...