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- Antonio Possolo, Anond Possolo
- 1986

The theory and practice of estimationof binary Markov random fields on lattices is reviewed and advanced. The natural objects of inference are the local conditional distributions, which define an exponential family owing to the equivalence between Markov and Gibbs random fields. Maximumlikelihoodestimation generally is impracticable. Methods of asymptotic,… (More)

- Antonio Possolo
- 1986

- Thomas Lafarge, Antonio Possolo, Monte Carlo Method
- 2013

1 Purpose NIST's UncertaintyMachine is a software application to evaluate the measurement uncertainty associated with an output quantity defined by a measurement model of the form y = f (x 1 ,. .. , x n), where the real-valued function f is specified fully and explicitly, and the input quantities are modeled as random variables whose joint probability… (More)

Model-based interpolation, prediction, and approximation are contingent on the choice of model: since multiple alternative models typically can reasonably be entertained for each of these tasks, and the results are correspondingly varied, this often is a considerable source of uncertainty. Several statistical methods are illustrated that can be used to… (More)

—Energy Harvesting (EH) refers to the process of capturing and storing energy from external sources or ambient environment. Kinetic energy harvested from the human body motion seems to be one of the most convenient and attractive solution for wearable wireless sensors in healthcare applications. Due to their small size, such sensors have a very limited… (More)

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