Buscar
Mostrando ítems 21-30 de 25122
Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(2019)
The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty of non-sensed positions given the information of the sensed ...
Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(Springer Verlag, 2019)
© 2019, International Association for Mathematical Geosciences.The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty ...
Simulation of Intrinsic Random Fields of Order k with Gaussian Generalized Increments by Gibbs Sampling
(Springer, 2015)
This work pertains to the simulation of an intrinsic random field of order k
with a given generalized covariance function and multivariate Gaussian generalized
increments. An iterative algorithm based on the Gibbs sampler ...
Electrophoretic pattern of concentrated urine: Comparison between 24-hour collection and random samples:
(W B Saunders CoPhiladelphiaEUA, 2002)
Wide Sense Stationary Processes Forming Frames
(Institute of Electrical and Electronics Engineers, 2011-07)
In this paper, we study the question of the representation of random variables by means of frames or Riesz basis generated by stationary sequences. This concerns the representation of continuous time wide sense stationary ...
Random sampling applied to the measurement of a DC signal immersed in noise
(Institute of Electrical and Electronics Engineers, 2001-10)
This paper introduces the use of random sampling for the recovery of DC signals immersed in noise. This technique avoids the use of antialiasing filters even if the disturbance frequencies are higher than the maximum ...
Limit theorems for sequences of random trees
(SPRINGER, 2009)
We consider a random tree and introduce a metric in the space of trees to define the ""mean tree"" as the tree minimizing the average distance to the random tree. When the resulting metric space is compact we have laws of ...
Perfectly random sampling of truncated multinormal distributions
(Applied Probability Trust, 2007-12)
The target measure mu is the distribution of a random vector in a box B, a Cartesian product of bounded intervals. The Gibbs sampler is a Markov chain with invariant measure mu. A 'coupling from the past' construction of ...
Coherence characteristics of random lasing in a dye doped hybrid powder
(2014)
The photon statistics of the random laser emission of a Rhodamine B doped di-ureasil hybrid powder is investigated to evaluate its degree of coherence above threshold. Although the random laser emission is a weighted average ...