Bootstrap-assisted tests of symmetry for dependent data*
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1575384
Abstract: ABSTRACT The paper considers the problem of testing for symmetry (about an unknown centre) of the marginal distribution of a strictly stationary and weakly dependent stochastic process. The possibility of using the autoregressive sieve bootstrap… read more here.
Keywords: dependent data; bootstrap assisted; symmetry dependent; bootstrap ... See more keywords
Random Forests for Spatially Dependent Data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1950003
Abstract: Spatial linear mixed-models, consisting of a linear covariate effect and a Gaussian process (GP) distributed spatial random effect, are widely used for analyses of geospatial data. We consider the ... read more here.
Keywords: random forests; dependent data; forests spatially; spatially dependent ... See more keywords
Marginal quantile regression for dependent data with a working odds-ratio matrix.
Sign Up to like & getrecommendations! Published in 2018 at "Biostatistics"
DOI: 10.1093/biostatistics/kxx052
Abstract: Dependent data arise frequently in applied research and several approaches to adjusting for the dependence among observations have been proposed in quantile regression. Cluster bootstrap is generally inefficient and computationally demanding, especially when the number… read more here.
Keywords: quantile regression; regression; dependent data; data working ... See more keywords