Results 201 to 210 of about 307 (253)
Analysis of the stabilized supralinear network. [PDF]
Ahmadian Y, Rubin DB, Miller KD.
europepmc +1 more source
ABSTRACT Objective This study explores how geographical distance between adult children of immigrants and their parents changes in response to partnership formation and partnership dissolution. Background Geographical distance between generations is a key factor in intergenerational support.
Alon Pertzikovitz +3 more
wiley +1 more source
ABSTRACT Using two approaches, we contribute to sub‐national economic performance measurement by netting out the influence of a region's performance on its industries. The first approach measures performance using technical efficiency and involves introducing the first multilevel spatial stochastic frontier model.
Anthony J. Glass, Karligash Kenjegalieva
wiley +1 more source
A Conditional Tail Expectation Type Risk Measure for Time Series
ABSTRACT We consider the estimation of the conditional expectation 𝔼(Xh|X0>UX(1/p)), provided 𝔼|X0|<∞, at extreme levels, where (Xt)t∈ℤ$$ {\left({X}_t\right)}_{t\in \mathbb{Z}} $$ is a strictly stationary time series, UX$$ {U}_X $$ its tail quantile function, h$$ h $$ is a positive integer and p∈(0,1)$$ p\in \left(0,1\right) $$ is such that p→0$$ p\to ...
Yuri Goegebeur +2 more
wiley +1 more source
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series
ABSTRACT We consider the problem of detecting deviations from a white noise assumption in time series. Our approach differs from the numerous methods proposed for this purpose with respect to two aspects. First, we allow for non‐stationary time series. Second, we address the problem that a white noise test is usually not performed because one believes ...
Patrick Bastian
wiley +1 more source
Identifiability of Phylogenetic Level-2 Networks under the Jukes-Cantor Model
Englander AK +6 more
europepmc +1 more source
Simple characterizations of comonotonicity and countermonotonicity by extremal correlations. [PDF]
Denuit, Michel, Dhaene, Jan
core
Adaptive Estimation for Weakly Dependent Functional Times Series
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source
ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
wiley +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source

