Results 31 to 40 of about 3,495,066 (309)
Nonparametric Regression Estimation for Multivariate Null Recurrent Processes
Econometrics, 2015 This paper discusses nonparametric kernel regression with the regressor being a \(d\)-dimensional \(\beta\)-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate
Biqing Cai, Dag Tjøstheim
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, 1975 The fourth issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: R.B. Cattell, H.J. Eysenck, J.P. Guilford and P.E.
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IEEE Access, 2019 In consideration of the financial indicators of financial structure, solvency, operating ability, profitability, and cash flow as well as the non-financial indicators of firm size and corporate governance, the algorithms of multivariate adaptive ...
Yuh-Jen Chen +3 more
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Regional Frequency Analysis of Low Flow in Parts of the Northern Karun River Basin in Chaharmahal and Bakhtiari Province [PDF]
محیط زیست و مهندسی آب, 2019 Hydrological droughts reduce groundwater and surface water, lakes and rivers. The purpose of the present study was to analyze the minimum regional flow frequency in parts of the northern Karun basin in Chaharmahal and Bakhtiari province. For this purpose,
Afshin Honarbakhsh +3 more
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Energies, 2018 In order to improve the accuracy of wind power prediction (WPP), we propose a WPP based on multivariate phase space reconstruction (MPSR) and multivariate linear regression (MLR).
Rongsheng Liu +2 more
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Variable screening in multivariate linear regression with high-dimensional covariates
Statistical Theory and Related Fields, 2022 We propose two variable selection methods in multivariate linear regression with high-dimensional covariates. The first method uses a multiple correlation coefficient to fast reduce the dimension of the relevant predictors to a moderate or low level. The
Shiferaw B. Bizuayehu, Lu Li, Jin Xu
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Multivariate Deep Evidential Regression
CoRR, 2021 There is significant need for principled uncertainty reasoning in machine learning systems as they are increasingly deployed in safety-critical domains. A new approach with uncertainty-aware neural networks (NNs), based on learning evidential distributions for aleatoric and epistemic uncertainties, shows promise over traditional deterministic methods ...
Nis Meinert, Alexander Lavin
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, 1973 The first issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: Raymond B. Cattell, Hans J. Eysenck, Joy P. Guilford and Paul E. Meehl.Digitized and published in SOAR:Shocker
Western Institute of Multivariate Experimental Psychology
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
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