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Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L´ evy processes spectrally pos-itive L´ evy processes reflected at its infimum scale functions exit times α-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPMλ,τpolicies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L丩evy processes spectrally pos-itive L丩evy processes reflected at its infimum scale functions exit times 兛-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPM兩,冄policies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices
Alternating direction methods Large covariance matrices Matrix norm Positive-de nite estimation Sparsity Soft-thresholding.
2012/9/18
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis. To simultan...
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
ProDiGe PRioritization Disease Genes multitask machine learning positive unlabeled examples
2011/7/6
Elucidating the genetic basis of human diseases is a central goal of genetics and molecular biology. While traditional linkage analysis and modern high-throughput techniques often provide long lists o...
A bagging SVM to learn from positive and unlabeled examples
A bagging SVM learn from positive unlabeled examples
2010/10/14
We consider the problem of learning a binary classifier from a training set of positive and unlabeled examples, both in the inductive and in the transductive setting. This problem, often referred to a...
Does adjustment for measurement error induce positive bias if there is no true association?
adjustment measurement error positive bias true association
2010/3/18
This article is a response to an off-the-record discussion that I had at an international meeting of epidemiologists. It centered on a concern, perhaps widely spread, that measurement error
adjustmen...
On a parametrization of positive semidefinite matrices with zeros
parametrization positive semidefinite matrices zeros
2010/3/9
We study a class of parametrizations of convex cones of positive
semidefinite matrices with prescribed zeros. Each such cone corresponds to
a graph whose non-edges determine the prescribed zeros. Ea...
Positive-part moments via the Fourier-Laplace transform
positive-part moments characteristic functions Fourier transforms Fourier-Laplace transforms integral representations
2010/3/18
Integral expressions for positive-part moments EXp
+ (p > 0) of random variables X are presented, in terms of the Fourier-Laplace or
Fourier transforms of the distribution of X. A necessary and suff...
Random limit theorems for random walks conditioned to stay positive
Random limit theorems random walks stay positive
2009/9/24
Random limit theorems for random walks conditioned to stay positive。
Functional random central limit theorems for random walks conditioned to stay positive
Functional random central limit theorems random walks stay positive
2009/9/24
Functional random central limit theorems for random walks conditioned to stay positive。
Random walks with random indices and negative drift conditioned to stay positive
Random walks with random indices negative drift stay positive
2009/9/24
Random walks with random indices and negative drift conditioned to stay positive。
Hitting time of the positive semi-axis for Wiener process in R(2)
Hitting time the positive semi-axis Wiener process
2009/9/23
Hitting time of the positive semi-axis for Wiener process in R(2)。
Dilation theorems for positive operator-valued measures
Dilation theorems positive operator-valued measures
2009/9/22
Let Q(A) be a positive operator-valued measure
defined on a measurable space (X, q. This means that
Q ( A ): L, (M,A , p) + L,( M, A, p) with Q (A) fa0 for f 3 0. Then
Q (-1 has a "dilation" of the...
A variational representation for positive functionals of infinite dimensional Brownian motion
Large deviations Laplace principle stochastic control cylindrical Brownian motion
2009/9/22
A variational representation for positive functionals of
a Hilbert space valued Wiener process (w(.)is) p roved. This representation
is then used to prove a large deviations principle for the family...
POSITIVE-DEFINITE MATPUX PROCESSES OF FINITE VANATION
Finite variation process It6 formula positive definite square root
2009/9/18
Processes of finite variation, which take values in the
positive semidefinite matrices and are representable as the sum of an
integral with respect to time and one with respect to an extended
Poiss...