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This paper considers nonparametric and semiparametric regression models subject to monotonicity constraint. We use bagging as an alternative approach to Hall and Huang(2001). Asymptotic properties of ...
Fast gradient methods are known to be non-monotone algorithms, and oscillations typically occur around the solution. To avoid this behavior, we propose in this paper a fast gradient method with restar...
In many stochastic models, it is known that the response surface corresponding to a particular performance measure is monotone in the underlying parameter. For example, the steady-state mean waiting t...
We study the asymptotic behaviour of a Bayesian nonparametric test of qualitative hypotheses. More precisely, we focus on the problem of testing monotonicity of a regression function. Even if some res...
We consider the problem of testing equality of functionsf j: [0,1] →Rfor j =1,2,...,J the basis ofJindependent samples from possibly different distributions under the assumption that the functions are...
We study a class of multiplicative algorithms introduced by Silvey et al. (1978) for com- puting D-optimal designs. Strict monotonicity is established for a variant considered by Titterington (1978)...
A Lkvy process on Rd with distribution p at time 1 is denoted by X") = {xi'")]I.T the improper stochastic integral f (s] d ~ : f io)f f with respect to Xtd is definable, its distribulion is denote...
For each $dgeq 2$, we give examples of $d$-dimensional periodic lattices on which the hard-core and Widom-Rowlinson models exhibit a phase transition which is monotonic, in the sense that there exists...

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