A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-018-1013-1
Abstract: In this paper, a new robust and efficient estimation approach based on local modal regression is proposed for partially linear models with large-dimensional covariates. We show that the resulting estimators for both parametric and nonparametric… read more here.
Keywords: large dimensional; efficient estimation; robust efficient; models large ... See more keywords
Estimation of spatial econometric linear models with large datasets: How big can spatial Big Data be?
Sign Up to like & getrecommendations! Published in 2019 at "Regional Science and Urban Economics"
DOI: 10.1016/j.regsciurbeco.2019.01.006
Abstract: Abstract Spatial econometrics is currently experiencing the Big Data revolution both in terms of the volume of data and the velocity with which they are accumulated. Regional data, employed traditionally in spatial econometric modeling, can… read more here.
Keywords: large datasets; econometric linear; estimation spatial; spatial econometric ... See more keywords
Improving Bayesian Local Spatial Models in Large Datasets
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1814789
Abstract: ABSTRACT Environmental processes resolved at a sufficiently small scale in space and time inevitably display nonstationary behavior. Such processes are both challenging to model and computationally expensive when the data size is large. Instead of… read more here.
Keywords: spatial models; improving bayesian; local spatial; variance ... See more keywords
Filter size definition in anisotropic subgrid models for large eddy simulation on irregular grids
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Turbulence"
DOI: 10.1080/14685248.2017.1312001
Abstract: ABSTRACT The definition of the characteristic filter size to be used for subgrid scales models in large eddy simulation using irregular grids is still an unclosed problem. We investigate some different approaches to the definition… read more here.
Keywords: large eddy; definition; filter; models large ... See more keywords
On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
Sign Up to like & getrecommendations! Published in 2019 at "Cogent Engineering"
DOI: 10.1080/23311916.2019.1679067
Abstract: Abstract A comprehensive evaluation of the prediction capabilities of two Sub-Grid-Scale (SGS) models, for Large-Eddy Simulations (LES) of incompressible turbulent flows, is performed by studying two cases of flows through wall-bounded domains: a standard smooth-wall… read more here.
Keywords: sgs models; capabilities two; prediction capabilities; wall bounded ... See more keywords
Analytical Gate Capacitance Models for Large-Signal Compact Model of AlGaN/GaN HEMTs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2018.2881255
Abstract: In this paper, analytical gate capacitance models for a large-signal compact model of AlGaN/GaN high-electron mobility transistors are proposed. Different from the MOSFET devices, different depletion regions on either side of the gate are fully… read more here.
Keywords: signal compact; large signal; model; models large ... See more keywords