Results 21 to 30 of about 10,791,441 (372)
Stochastically ordered multiple regression [PDF]
In various application areas, prior information is available about the direction of the effects of multiple predictors on the conditional response distribution. For example, in epidemiology studies of potentially adverse exposures and continuous health responses, one can typically assume a priori that increasing the level of an exposure does not lead ...
Bornkamp, Björn +2 more
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Stochastic Order for a Multivariate Uniform Distributions Family
In this article we give sufficient conditions for stochastic order of multivariate uniform distributions on closed convex sets.
Luigi-Ionut Catana, Anisoara Raducan
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Stochastic orders of log-epsilon-skew-normal distributions
The log-epsilon-skew-normal distributions family is generalized class of log-normal distribution. Is widely used to model non-negative data in many areas of applied research.
Catana Luigi-Ionut
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RELATIONS BETWEEN STOCHASTIC ORDERINGS AND GENERALIZED STOCHASTIC PRECEDENCE [PDF]
The concept of stochastic precedence between two real-valued random variables has often emerged in different applied frameworks. In this paper, we analyze several aspects of a more general, and completely natural, concept of stochastic precedence that also had appeared in the literature.
DE SANTIS, Emilio +2 more
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Adaptive Fuzzy Control for Stochastic High-Order Nonlinear Systems With Output Constraints
This article investigates the adaptive fuzzy control design for $p$-norm stochastic high-order lower triangular nonlinear systems with output constraints and unknown nonlinearities.
Liandi Fang +3 more
semanticscholar +1 more source
A probability measure $P$ on a partially ordered Polish space $E$ is called stochastically smaller than $Q$ (notation: $P \leqslant Q$) if $\int f dP \leqslant \int f dQ$ holds for all bounded increasing measurable $f$. We investigate the question when for a stochastically increasing family $\{P_t, t \in \mathbb{R}\}$ there exists an increasing process
Kamae, T., Krengel, U.
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The concept of stochastic dominance in ranking investment alternatives [PDF]
In order to rank investments under uncertainty, the most widely used method is mean variance analysis. Stochastic dominance is an alternative concept which ranks investments by using the whole distribution function.
Trifunović Dejan
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Second order reflected backward stochastic differential equations [PDF]
In this article, we build upon the work of Soner, Touzi and Zhang [Probab. Theory Related Fields 153 (2012) 149-190] to define a notion of a second order backward stochastic differential equation reflected on a lower c\`adl\`ag obstacle.
Matoussi, Anis +2 more
core +3 more sources
In this paper, we identify several relative ordering properties of the modified proportional hazard rate and modified proportional reversed hazard rate models.
Mansour Shrahili +2 more
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Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming [PDF]
In this paper, we introduce a new stochastic approximation (SA) type algorithm, namely the randomized stochastic gradient (RSG) method, for solving an important class of nonlinear (possibly nonconvex) stochastic programming (SP) problems.
Saeed Ghadimi, Guanghui Lan
semanticscholar +1 more source

