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   Articles with "models large" as a keyword



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A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates

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recommendations! 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?

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recommendations! 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

Models for T-large granular lymphocytic leukemia: how to mimic the cellular interplays in malignant autoimmunity

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recommendations! Published in 2025 at "Leukemia"

DOI: 10.1038/s41375-025-02553-2

Abstract: T-large granular lymphocytic leukemia (T-LGLL) is a chronic lymphoproliferative disorder characterized by clonal expansions of cytotoxic T-cells. It presents with cytopenias that are not explained by the typically low leukemic burden. Notably, T-LGLL is frequently… read more here.

Keywords: leukemia mimic; leukemia; granular lymphocytic; large granular ... See more keywords

Explicit formulations of widely used wall models for large-eddy simulation

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recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0253882

Abstract: Algebraic wall models for large-eddy simulations may suffer from robustness issues when applied in complex flow configurations. On the other hand, models based on ordinary differential equations (ODE-based models) are robust, but are slower to… read more here.

Keywords: large eddy; explicit formulations; wall models; model ... See more keywords
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Improving Bayesian Local Spatial Models in Large Datasets

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physicians

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recommendations! Published in 2024 at "Internal Medicine Journal"

DOI: 10.1111/imj.16393

Abstract: Foundation machine learning models are deep learning models capable of performing many different tasks using different data modalities such as text, audio, images and video. They represent a major shift from traditional task‐specific machine learning… read more here.

Keywords: large language; machine learning; language; medicine ... See more keywords