Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition [PDF]
, 2021 Guohao Shen +4 more
openalex +1 more source
Journal of Policy Analysis and Management, EarlyView.Abstract IT modernization reforms seek to improve administrative performance by improving the delivery of program benefits. Performance benefits manifest in a reduction in agency‐induced administrative errors, and a reduction in performance gaps between high and low complexity task caseloads.
George A. Krause, Ji Hyeun Hong
wiley +1 more source
The distributional dimension of the resource curse: Commodity price shocks and income inequality
, 2021 Soran Mohtadi, David Castells‐Quintana
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Perceptions and pathways: Linking biodiversity to health and well‐being in lower‐income contexts
People and Nature, EarlyView.Abstract The biodiversity loss and human health crises are deeply interconnected, but existing frameworks linking the two are largely derived from high‐income contexts, limiting their applicability to much of the world. While these frameworks have been valuable, this gap is especially critical in rapidly urbanising low‐ and middle‐income regions, where
Amelia Browne +4 more
wiley +1 more source
Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black--Scholes Partial Differential Equations [PDF]
, 2020 Julius Berner +2 more
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Age‐Dependent Correlation of Pulmonary Function Impairment and Aortic Arch Stiffness in Mice
Pediatric Discovery, EarlyView.This study examined the relationship between aortic arch stiffness and lung function in aging mice. Multiple linear regression modeling showed moderate to strong correlations between the rise in aortic arch stiffness and changes in lung function as the mice progressively aged.
Ayman Isbatan +10 more
wiley +1 more source
Fast simulation for multi-photon, atomic-ensemble quantum model of linear optical systems addressing the curse of dimensionality [PDF]
, 2023 Junpei Oba, Seiji Kajita, Akihito Soeda
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Ensemble Averaging and the Curse of Dimensionality
Journal of Climate, 2018 AbstractWhen comparing climate models to observations, it is often observed that the mean over many models has smaller errors than most or all of the individual models. This paper will show that a general consequence of the nonintuitive geometric properties of high-dimensional spaces is that the ensemble mean often outperforms the individual ensemble ...
openaire +1 more source
Data assimilation with extremum Monte Carlo methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source
Overcoming the curse of dimensionality in the numerical approximation of semilinear parabolic partial differential equations. [PDF]
Proc Math Phys Eng Sci, 2020 Hutzenthaler M +4 more
europepmc +1 more source