Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes.

Intermittency are a common and challenging problem in demand forecasting.We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing methods in several directions.Our framework is based on extensions of well-established model-based meth

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Comparing Spatial Heterogeneity of Bioavailable Nutrients and Soil Respiration in Boreal Sites Recovering From Natural and Anthropogenic Disturbance

The mining of oil sands in Alberta, Canada is a large-scale disturbance that requires land reclamation to equivalent land capability.Cover soils used for upland forest reclamation are forest floor mineral-mix Chef Knives (FFM) sourced from upland forest ecosystems and peat mineral-mix (PM) sourced from lowland ecosystems.Spatial heterogeneity and q

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