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Computing the Distribution Function of a Conditional Expectation via Monte Carlo: Discrete Conditioning Spaces
Probability algorithms distribution functions conditional expectation
2015/7/8
We examine different ways of numerically computing the distribution function of conditional expectations where the conditioning element takes values in a finite or countably infinite outcome space. Bo...
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...
When a matrix A with n columns is known to be well approximated by a linear combination of basis matrices B_1,..., B_p, we can apply A to a random vector and solve a linear system to recover this line...
Determining full conditional independence by low-order conditioning
conditional independence graphical models Markov properties separability ingraphs undirected graphs
2010/4/29
A concentration graph associated with a random vector is an undirected graph where each
vertex corresponds to one random variable in the vector. The absence of an edge between any
pair of vertices (...
Tightness criteria for random measures with application to the principle of conditioning in Hilbert spaces
Tightness criteria random measures with application
2009/9/23
Tightness criteria for random measures with application to the principle of conditioning in Hilbert spaces。
Conditioning and weak convergence
weak convergence conditional expectation pseudo-martingale
2009/9/22
Several connections between the weak convergence of
random variables, convergence of their distributions and conditioning
have been described.
On the approximation of a random variable by a conditioning of a given sequence
Condtional expectation almost sure convergence stochastics onvergence
2009/9/21
Let (a,$ Pj,I IN a non-atomic probability spa- If(Xw)
is a sequenm 5f r.y.'s satisry'ying X, -+ Q as. (respeclitrely, in probability)
a s n - , ~ and EX:-+ca, EX;-=+w as n-roo, th@n for any tv. Y
t...
“Pre-conditioning” for feature selection and regression in high-dimensional problems
Pre-conditioning feature selection regression high-dimensional problems
2010/4/27
The primary method used for this initial regression is supervised principal components. Then we
apply a standard procedure such as forward stepwise selection or the
LASSO to the pre-conditioned resp...
Innovation for Sustainability: New Product Development for a Greenpeace Licensed Air Conditioning Substitute
New product development
2018/3/9
The paper presents a case study of the new product development that created in Brazil
the Ecobrisa-EB20, a product licensed by Greenpeace, due its positive environmental
sustainability compared to t...