Results 131 to 140 of about 173,375 (235)

Bayesian perspective for orientation determination in cryo‐EM with application to structural heterogeneity analysis

Acta Crystallographica Section D, EarlyView.
A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu, Amnon Balanov, Amit Singer, Tamir Bendory   +3 more
wiley   +1 more source

Assessing the link between social capital and health outcomes in the Italian regions: An empirical analysis

Annals of Public and Cooperative Economics, EarlyView.
Abstract An extensive literature demonstrates a positive relationship between social capital and health. However, empirical analyses within the Italian context remain limited. This study contributes to the existing literature by expanding the empirical evidence on this topic for Italy, employing an ecological approach.
Maria Alessandra Antonelli, Giorgia Marini   +1 more
wiley   +1 more source

Between Cryptocurrencies' Risk and Crypto Environmental Attention: The Crypto Environment Attention Index and Volatility in the Cryptocurrencies Market Nexus

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This study investigates the impact of environmental attention on cryptocurrency market volatility by introducing the Crypto Environmental Attention Index (CEAI), a new metric inspired by Wang et al. (2022) and constructed using daily web search data.
Ines Ghazouani, Zaineb Hlioui, Marwa Zouawi   +2 more
wiley   +1 more source

A tutorial for understanding SEM using R: Where do all the numbers come from?

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley   +1 more source

Untangling nutrient co‐regulation of ombrotrophic peatland development

Boreas, EarlyView.
Multi‐method (FTIR, FT‐NIR and TGA) approaches characterizing the organic peat constituents at Holcroft Moss reveal a record of switches that reflect broadly hydroclimate variability governing the decomposition patterns. There are periods, however, where hydroclimate does not fully explain the variability observed and instead changes appear linked to ...
Richard C. Chiverrell, Daniel N. Schillereff, Fiona E. Russell, Julie Valentine, Jason R. Kirby, David M. Wilkinson, John F. Boyle   +6 more
wiley   +1 more source

FinTech, Financial Inclusion, and Environmental Outcomes: Evidence From the European Transition Towards Sustainability

European Financial Management, EarlyView.
ABSTRACT This paper aims to investigate Europe's transition towards sustainability. We explore the role of FinTech, financial inclusion, green innovation, renewable energy, and natural resource rents on carbon dioxide emissions, greenhouse gas emissions, and the ecological footprint. This paper applies a panel dataset of 31 European countries from 2004
Aisha K. Almuhailan, Sarosh Shabi, Ramzi Benkraiem, Mohammad Zoynul Abedin   +3 more
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

The Augmented Hat‐Matrix of Hierarchical Generalised Linear Models and Its Use in Leverage Diagnostics

International Statistical Review, EarlyView.
Summary Defining a ‘hat‐matrix’ for a model is essential in many model diagnostic procedures, as it acts as an orthogonal projector from the observation space to the model space. In this paper, we introduce a unique Hat‐matrix for the class of hierarchical generalised linear models (HGLMs), which includes, as a special case, the subclass of generalised
Gianfranco Lovison, Mariangela Sciandra, Alessandro Albano, Chiara Di Maria   +3 more
wiley   +1 more source

Multi‐objective maritime vessel routing with safety considerations

International Transactions in Operational Research, EarlyView.
Abstract The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem,
Nazanin Sharif, Mikael Rönnqvist, Jean‐François Cordeau, Jean‐François Audy, Gurjeet Warya   +4 more
wiley   +1 more source