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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...
Helping Adolescents Achieve Positive Mental Health: Implications for Social Marketing
Adolescents Achieve Positive Mental Health Social Marketing
2010/1/15
This study sought to explore barriers to achieving positive mental health in adolescence from the perspectives of adolescents and their carers. In-depth interviews with male and female adolescents age...
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...
Post War Iraq: Understanding and Shaping the Forces of Positive Changes
Positive Changes Post War Iraq
2009/9/30
The U.S. invasion of Iraq in 2003 has triggered international condemnations and a worldwide fear. The speed at which the regime of Saddam Hussein crumbled has left the people in the Middle East in gre...
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...