Mccracken, Jp; Schwartz, J; Bruce, N; Mittleman, M; Ryan, Louise; Smith, Kr(Lippincott Williams & Wilkins, 2009)
Background: Epidemiology frequently relies on surrogates of long-term exposures, often either individual-level short-term measurements or group-level based on long-term characteristics of subjects and their environment. ...
The notion of quantum weakest precondition was introduced by D'Hondt and P. Panangaden [E. D'Hondt, P. Panangaden, Quantum weakest preconditions, Mathematical Structures in Computer Science 16 (2006) 429-451], and they ...
Ji, Zhengfeng; Duan, Runyao; Ying, Mingsheng(Elsevier Science Bv, 2004)
We prove, in a multipartite setting, that it is always feasible to exactly transform a genuinely m-partite entangled pure state with sufficient many copies to any other m-partite state via local quantum operation and ...
This study investigated the changes in electroencephalography (EEG) activity in train drivers during a monotonous train-driving session. Four combinations of EEG activities were also compared to investigate the difference ...
This paper describes an empirical comparison of the performance of four designs for a discrete choice experiment. These designs were chosen to represent the range of construction techniques that are currently popular for ...
Abstract: The approximate slopes of several tests of the independence of two covariance stationary time series are derived and compared. It is shown that the approximate slopes of regression tests are at least as great as ...
Platen, E.; Heath, D. P; Schweizer, M.(Blackwell Publishing, 2006)
This paper provides comparative theoretical and numerical results on risks, values, and hedging
strategies for local risk-minimization versus mean-variance hedging in a class of stochastic volatility
models. We explain ...
Necessary and sufficient global optimality conditions are presented for certain nonconvex minimization problems subject to inequality constraints that are expressed as the pointwise minimum of sublinear (MSL) functions. A ...
We give an O(n 2) time algorithm to find the population variance of tour costs over the solution space of the n city symmetric Traveling Salesman Problem (TSP). The algorithm has application in both the stochastic case, ...
Objective. To develop a method for predicting concurrently both hospital survival and length of stay (LOS) for seriously ill or injured patients, with particular attention to the competing risks of death or discharge alive ...
In a general estimation problem, the deviance function generates statistics that are similar to squared standardized residuals. A deviance-based M estimator (DBME) is defined as an adaptively weighted maximum-likelihood ...
Platen, E.; Heath, D.(John Wiley and Sons Inc, 2007)
This paper considers a modification of the well known constant elasticity of
variance model where it is used to model the growth optimal portfolio (GOP).
It is shown that, for this application, there is no equivalent ...
Su, Steven; Anderson, Brian; Brinsmead, Thomas(Kluwer Academic Publishers, 2001)
S. W. Su, B. D. O. Anderson, and T. S. Brinsmead. Constant disturbance rejection and zero steady state tracking error for nonlinear systems design, In Biswa Datta, editor, Applied computational control, signals, and circuits ...
We give new constructions for DCEs in which all attributes have the same number of levels. These constructions use several combinatorial structures, such as orthogonal arrays, balanced incomplete block designs and Hadamard ...
Lattice rules are quasi-Monte Carlo methods for numerical multiple integration that are based on the selection of an s-dimensional integration lattice. The abscissa set is the intersection of the integration lattice with ...
Wand, Matthew; Ormerod, John(John Wiley & Sons Ltd, 2012)
The aged number theoretic concept of continued fractions can enhance certain Bayesian computations. The crux of this claim is due to continued fraction representations of numerically challenging special function ratios ...