Odds ratio function estimation using a generalized additive neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04189-7
Abstract: In biomedical research, generalized artificial neural networks (GANNs) have been proposed as an alternative to a multi-layer perceptron owing to their greater ability to generate more interpretable results. GANNs were inspired by statistical generalized additive… read more here.
Keywords: estimation using; odds ratio; generalized additive; function ... See more keywords
Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1820344
Abstract: Multidimensional function data arise from many fields nowadays. The covariance function plays an important role in the analysis of such increasingly common data. In this article, we propose a novel... read more here.
Keywords: rank covariance; covariance function; function; low rank ... See more keywords
Empirical Transfer Function Estimation With Differential Filtering and Its Application to Fine Positioning Control of Galvano Scanner
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3217616
Abstract: Fast and precise point-to-point (PTP) positioning control is a critical technology for improving the throughput and product quality of industrial machines. This study aims to investigate the frequency response function (FRF) estimation method with differential… read more here.
Keywords: empirical transfer; function; function estimation; differential filtering ... See more keywords
Gaussianization Machines for Non-Gaussian Function Estimation Models
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DOI: 10.1214/19-sts718
Abstract: A wide range of nonparametric function estimation models have been studied individually in the literature. Among them the homoscedastic nonparametric Gaussian regression is arguably the best known and understood. Inspired by the asymptotic equivalence theory,… read more here.
Keywords: estimation; estimation models; regression; gaussianization machines ... See more keywords
Function Estimation in Inverse Heat Transfer Problems Based on Parameter Estimation Approach
Sign Up to like & getrecommendations! Published in 2020 at "Energies"
DOI: 10.3390/en13174410
Abstract: A new sensitivity analysis scheme is presented based on explicit expressions for sensitivity coefficients to estimate timewise varying heat flux in heat conduction problems over irregular geometries using the transient readings of a single sensor.… read more here.
Keywords: estimation; sensitivity; inverse; heat ... See more keywords