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期刊名:Probability theory and related fields

缩写:PROBAB THEORY REL

ISSN:0178-8051

e-ISSN:1432-2064

IF/分区:1.6/Q2

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共收录本刊相关文章索引46
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Alexander M G Cox,Jan Obłój,Nizar Touzi Alexander M G Cox
We provide a complete characterisation of the Root solution to the Skorokhod embedding problem (SEP) by means of an optimal stopping formulation. Our methods are purely probabilistic and the analysis relies on a tailored time-reversal argum...
Dmitry Beliaev,Igor Wigman Dmitry Beliaev
We study the volume distribution of nodal domains of families of naturally arising Gaussian random fields on generic manifolds, namely random band-limited functions. It is found that in the high energy limit a typical instance obeys a deter...
Mathias Beiglböck,Manu Eder,Christiane Elgert et al. Mathias Beiglböck et al.
We adapt ideas and concepts developed in optimal transport (and its martingale variant) to give a geometric description of optimal stopping times τ of Brownian motion subject to the constraint that the distribution of τ is a given...
Tadahiro Oh,Nikolay Tzvetkov Tadahiro Oh
We consider the cubic fourth order nonlinear Schrödinger equation on the circle. In particular, we prove that the mean-zero Gaussian measures on Sobolev spaces [Formula: see text], [Formula: see text], are quasi-invariant under the flow. ...
Francesco Caravenna,Rongfeng Sun,Nikos Zygouras Francesco Caravenna
Any renewal processes on [Formula: see text] with a polynomial tail, with exponent [Formula: see text], has a non-trivial scaling limit, known as the [Formula: see text]-stable regenerative set. In this paper we consider Gibbs transformatio...
Tony Cai,Zongming Ma,Yihong Wu Tony Cai
This paper considers a sparse spiked covariancematrix model in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minimax rank detection. The optimal rate of co...