Flexible integro-difference equation modeling for spatio-temporal data

Flexible integro-difference equation modeling for spatio-temporal data

The choice of kernel in an integro-difference equation (IDE) approach to model spatio-temporal data is studied. By using approximations to stochastic partial differential equations, it is shown that higher order moments and tail behavior of the kernel affect how an IDE process evolves over time. The asymmetric Laplace and the family of stable distributions are presented as alternatives to the G...

Polynomial nonlinear spatio-temporal integro-difference equation models

Spatio-temporal statistical models are ubiquitous in the environmental sciences. Often the underlying spatiotemporal process can be written as a hierarchical state-space process that utilizes prior understanding of the physical process to formulate models for the state transition. In situations with complicated dynamics, such as wave propagation, or population growth and dispersal models, param...

Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network

Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...

Modeling and Querying Spatio-temporal Data

Spatio-temporal Modeling of Residential Sales Data

Equity in the personal residence is the largest single asset in the investment portfolio of most households. Lenders also have keen interest in residential property values. Estimating the market value of an individual house through appraisal is quite challenging. Regression analysis based upon hedonic pricing theory using individual house characteristics ooers an attractive alternative. The ava...