Results 231 to 240 of about 52,512 (299)

Broken adaptive ridge regression and its asymptotic properties. [PDF]

J Multivar Anal, 2018
Dai L, Chen K, Sun Z, Liu Z, Li G.
europepmc   +1 more source

The Influence of Aesthetic Liking on Product Evaluation: How and When It Differs With Brand Strength and Product Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This research provides comprehensive insight into the influence of aesthetic liking on product preference across different types of durable product categories by uncovering the underlying process. Distinguishing a direct expressive influence of aesthetic liking and an indirect influence as a quality signal, referring to signaling theory, we ...
Mariëlle E. H. Creusen, Ruth Mugge, Jan P. L. Schoormans   +2 more
wiley   +1 more source

Machine learning RF shimming: Prediction by iteratively projected ridge regression. [PDF]

Magn Reson Med, 2018
Ianni JD, Cao Z, Grissom WA.
europepmc   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Matrix‐Free Afterglow Carbon Dots: Synthetic Strategies, Luminescence Mechanisms, and Emerging Applications

Carbon Innovation, EarlyView.
This review systematically elucidates the luminescence mechanism, synthesis methods of matrix‐free afterglow carbon dots, and their application progress in information encryption, light‐emitting diodes, sensing, bioimaging, and tumor treatment, and finally, discusses the current challenges and future development directions. ABSTRACT Afterglow materials,
Yupeng Liu, Xiangxin Sun, Zhiqi Cai, Hanyi Zhang, Yiming Hao, Songnan Qu   +5 more
wiley   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Variable selection for recurrent event data with broken adaptive ridge regression. [PDF]

Can J Stat, 2018
Zhao H, Sun D, Li G, Sun J.
europepmc   +1 more source

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon, Adeolu O. Adewuyi, Simplice A. Asongu   +2 more
wiley   +1 more source