Results 131 to 140 of about 77,989 (251)
Revisiting Split Covariance Intersection: Correlated Components and Optimality [PDF]
Colin Cros +3 more
openalex +3 more sources
Increasing tolerance of wolves in Montana, United States (2012–2023)
There is little reliable human dimensions data on people's attitudes toward wolves in the Northern Rocky Mountains despite global interest in wolf management in the area, and limited information globally about how people's attitudes toward wolves change over time.
Alexander L. Metcalf +4 more
wiley +1 more source
Covariance Intersection in Nonlinear Estimation Based on Pseudo Gaussian Densities
Benjamin Noack +2 more
openalex +1 more source
A stakeholder model of performance in networks evidence from Central European franchising firms
Abstract This study addresses the underexplored question of how a multilateral stakeholder orientation of the franchisor impacts franchise network performance. Drawing on the attention‐based view of the firm operationalized through the stakeholder salience approach, we develop a conceptual framework suggesting a franchisor's focus on the interests of a
Aveed Raha +2 more
wiley +1 more source
Geopolitical Risk and Domestic Bank Deposits
ABSTRACT We investigate the relationship between global geopolitical risk and bank deposit flows across a wide panel of European countries. Motivated by the pivotal role of deposit stability for financial intermediation and systemic resilience, we explore whether geopolitical shocks alter depositors’ portfolio choices.
Dimitris Anastasiou +3 more
wiley +1 more source
ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues +15 more
wiley +1 more source
Conservative Quantization of Fast Covariance Intersection
Christopher Funk +2 more
openalex +1 more source
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source

