Results 41 to 50 of about 133,201 (197)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Error bounds for the convex loss Lasso in linear models

, 2017
In this paper we investigate error bounds for convex loss functions for the Lasso in linear models, by first establishing a gap in the theory with respect to the existing error bounds.
Mark H Hannay, P. Deléamont
semanticscholar   +1 more source

DNase1 RS1053874 Polymorphism is Associated with Early Neurological Recovery through NET Modulation and with Long‐Term Survival in Ischemic Stroke: A Prospective Cohort Study

Annals of Neurology, EarlyView.
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito, P. Calleja, L. Alzamora, A. Ruiz‐García, A. Martínez‐Salio, M. Muñoz‐García, F. Ostos, A. García‐Culebras, A. Moraga, M.A. Moro, I. Lizasoain   +10 more
wiley   +1 more source

Three‐dimensional geometric morphometric analysis of diaphragmatic dome motion in COPD patients

The Anatomical Record, EarlyView.
Abstract Diaphragmatic dysfunction is a hallmark of chronic obstructive pulmonary disease (COPD), especially in emphysema, where hyperinflation alters diaphragm geometry and impairs inspiratory mechanics. However, quantitative three‐dimensional (3D) assessments of diaphragmatic dome shape and motion across COPD phenotypes are limited.
José M. López‐Rey, Benoît Beyer, Elena García‐Vargas, Isabel Torres‐Sánchez, Francisco García‐Río, Markus Bastir   +5 more
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Subuniformity of harmonic mean p$$ p $$‐values

Canadian Journal of Statistics, EarlyView.
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen, Ruodu Wang, Yuming Wang, Wenhao Zhu   +3 more
wiley   +1 more source

Measuring financial intermediation: a model and application to the Slovak banking sector

E+M Ekonomie a Management, 2018
The paper proposes a model for measuring the attainment in financial intermediation that answers to situations when functions of financial intermediaries from a macroeconomic viewpoint may be primarily reduced to taking deposits and providing loans ...
M. Boďa, Emília Zimková
semanticscholar   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

Schur convexity properties for a class of symmetric functions with applications

, 2018
In the article, we prove that the symmetric function Fn (x1, x2, · · · , xn; r ...
Wei-Mao Qian, Y. Chu
semanticscholar   +1 more source

Inconsistency of the Capital Asset Pricing Model in a Multi‐Currency Environment

International Journal of Finance &Economics, EarlyView.
ABSTRACT The capital asset pricing model (CAPM) is a widely adopted model in asset pricing theory and portfolio construction because of its intuitive nature. One of its main conclusions is that there exists a global market portfolio that each rational investor should hold in proportion to the risk‐free asset. In this paper, we demonstrate theoretically
Khalifa Al‐Thani, Domenico Mignacca, Gianluca Fusai, Fabio Caccioli, Guido Germano   +4 more
wiley   +1 more source