In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a state process characterized by a first order autoregressive dynamic...

In this work we propose a model for the intensity of a space–time point process, specified by a sequence of spatial surfaces that evolve dynamically in time. This specification allows flexible structures for the components of the model, in order to handle temporal and spatial variations both...

<Para ID="Par1">Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field prediction and uncertainty quantification. Copyright Sociedad de...</para>

type="main" xml:id="rssb12055-abs-0001" <title type="main">Summary</title> <p>In several areas of application ranging from brain imaging to astrophysics and geostatistics, an important statistical problem is to find regions where the process studied exceeds a certain level. Estimating such regions so that the probability for...</p>

There is a need for efficient methods for estimating trends in spatio-temporal Earth Observation data. A suitable model for such data is a space-varying regression model, where the regression coefficients for the spatial locations are dependent. A second order intrinsic Gaussian Markov Random...

The planning process is usually an integrated mixture of top‐down issues prepared at the senior levels of the organization, and bottom‐up work that goes on within the operating units. A question for this distinguished panel of CPOs is, “How can companies optimally balance the process?”

In global businesses there's often a question about what you can plan for on a worldwide basis and what needs to be managed on a local basis. How does a company know it has an equity or an economy of scale that is truly global?