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A DIFFERENT CONSTRUCTION OF GAUSSIAN FIELDS FROM MARKOV CHAINS: DIRICHLET COVARIANCES UNE NOUVELLE CONSTRUCTION DE CHAMPS GAUSSIENS à PARTIR DE CHAÎNES DE MARKOV
Class gaussian markov chain the index space green's function
2015/7/8
We study a class of Gaussian random fields with negative correlations. These fields are easy to simulate. They are defined in a natural way from a Markov chain that has the index space of ...
LASSO Methods for Gaussian Instrumental Variables Models
LASSO Methods Gaussian Instrumental Variables Models
2011/3/2
In this note, we propose the use of sparse methods (e.g. LASSO, Post-LASSO,p LASSO, and Post-
p LASSO) to form rst-stage predictions and estimate optimal instru-ments in linear instrumental variable...
Geometry of maximum likelihood estimation in Gaussian graphical models
Geometry of maximum likelihood estimation Gaussian graphical models
2011/1/21
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. An algebraic elimination criterion allows us to nd exact lower bounds on the number of observations...
Gaussian Relay Channel Capacity to Within a Fixed Number of Bits
Gaussian Relay Channel Capacity Fixed Number of Bits
2010/11/24
In this paper, we show that the capacity of the three-node Gaussian relay channel can be achieved to within 1 and 2 bit/sec/Hz using compress-and-forward and amplify-and-forward relaying, respectively...
Distributed Detection over Gaussian Multiple Access Channels with Constant Modulus Signaling
Gaussian Multiple Access Channels Constant Modulus Signaling
2010/11/19
A distributed detection scheme where the sensors transmit with constant modulus signals over a Gaussian multiple access channel is considered. The deflection coefficient of the proposed scheme is sho...
Gaussian Process Techniques for Wireless Communications
Gaussian Process Techniques Wireless Communications
2010/11/9
Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. Classical solutions such that Kalman filter and Particle filter are introduced in this report. Ga...
An efficient estimator for locally stationary Gaussian long-memory processes
efficient estimator Gaussian long-memory processes
2010/11/18
This paper addresses the estimation of locally stationary long-range dependent processes, a methodology that allows the statistical analysis of time series data exhibiting both nonstationarity and str...
On time-changed Gaussian processes and their associated Fokker-Planck-Kolmogorov equations
Gaussian processes Fokker-Planck-Kolmogorov equations
2010/11/18
This paper establishes Fokker-Planck-Kolmogorov type equations for time-changed Gaussian processes. Examples include those equations for a time-changed fractional Brownian motion with time-dependent ...
High-dimensional covariance estimation based on Gaussian graphical models
High-dimensional covariance estimation Gaussian graphical models
2010/12/15
Undirected graphs are often used to describe high dimensional distributions. Under sparsity
conditions, the graph can be estimated using ℓ1-penalization methods. We propose and study
the follo...
Almost sure localization of the eigenvalues in a gaussian information plus noise model. Applications to the spiked models
localization eigenvalues gaussian information plus noise model
2010/12/14
Let §N be a M ×N randommatrix defined by §N = BN +σWN where BN is a uniformly bounded deterministicmatrix andwhereWN is an independent identically distributed complex Gaussianmatrix with zeromean and ...