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Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation
Relay networks System Identification Gaussian processes Kernel methods
2011/7/7
This paper presents a flexible stochastic model developed for a class of cooperative wireless relay networks, in which the relay processing functionality is not known at the destination. The challenge...
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies
Bayesian variable selection generalized linear models Gaussian processes
2011/7/5
This paper presents a unified treatment of Gaussian process models that extends to data from the exponential dispersion family and to survival data.
Spatial wavelet Markov models are more efficient than covariance tapering and process convolutions
Matérn covariances Kriging Wavelets Markov random fields Covariance tapering
2011/7/5
The Mat\'ern covariance function is a popular choice for modeling dependence in spatial environmental data.
On the critical behavior at the lower phase transition of the contact process
Contact process phase transition critical behavior interacting particle system oriented percolation
2009/6/12
We present general results for the contact process by a method which applies to all transitive graphs of bounded degree, including graphs of exponential growth. The model infection rates are varied th...
This paper presents two results on sample paths for the Yule process: one fluid limit theorem and one sample path large deviation result. The main interest is to understand the way large deviation occ...
The of the Hitting Times to Points by a Stable Levy Process with No Negative Jumps
Law Stable Levy Process density function
2009/3/23
Let $X=(X_t)_{t ge 0}$ be a stable L'evy process of index $alpha in (1,2)$ with the L'evy measure $nu(dx) = (c/x^{1+alpha}):! I_{(0,infty)}(x), dx$ for $c>0$, let $x>0$ be given and fixed, and let $ta...