Results 161 to 170 of about 6,034 (237)
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Bayesian Model Averaging in Causal Instrumental Variable Models
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley +1 more source
ABSTRACT Background Unintentional drowning is a leading cause of injury and death among children worldwide, and inadequate water safety education is a significant contributing factor. Innovative technologies such as virtual reality [VR] have the potential to teach children about safety and reduce the risk of accidental injury.
Allana Santiago +5 more
wiley +1 more source
Abstract Mountain social–ecological systems encompass steep ecological gradients and diverse cultural practices, yet the relative roles of these factors in shaping mountain landscapes remain underexplored. In particular, the knowledge and practices of women in coproducing biocultural landscapes are often invisible in the academic literature. In the Ait
Meryem Aakairi +6 more
wiley +1 more source
Applications and limitations of AI tools in enzyme design
Abstract Enzymes catalyze various different chemical reactions often with high efficiency and selectivity compared to synthetic catalysts. Advances in protein engineering over the past decades have allowed researchers to design enzymes, improving their catalytic performance and adapting them for specific or entirely novel chemical reactions.
Rosa Teijeiro‐Juiz +6 more
wiley +1 more source
Abstract The accurate prediction of antibody–antigen (AbAg) complexes is a key challenge for computational immunology, with applications in therapeutic antibody design and diagnostics. Current deep learning methods have the potential to generate high‐confidence AbAg structures.
Joakim Nøddeskov Clifford +1 more
wiley +1 more source
Rendering transparency to ranking in educational assessment via Bayesian comparative judgement
Abstract Transparency in educational assessment has become an increasingly pressing concern, particularly in the aftermath of the pandemic, as institutions seek more equitable, robust and defensible methods of evaluating student work. Comparative judgement (CJ) has gained traction as a promising alternative to traditional rubric‐based marking. However,
Andy Gray +4 more
wiley +1 more source
Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Engelsberger A +2 more
europepmc +1 more source
When GUI‐Based Testing of Web Applications Meets Code Review
Summary of our findings on practices, challenges, information needs and future improvements for code review of GUI‐based testing artefacts. ABSTRACT Code review is a well‐established practice to ensure code quality, identify potential bugs, promote knowledge sharing and maintain coding standards within a team or organization.
Andreas Bauer +3 more
wiley +1 more source
A Latent Variable Approach for Causal Effect Estimation Under Misclassified Treatment Assignment. [PDF]
Shang Y, Chiu YH, Kong L.
europepmc +1 more source

