Results 61 to 70 of about 245 (160)
Refining a Bayesian network using a chain event graph [PDF]
, 2013 The search for a useful explanatory model based on a Bayesian Network (BN) now has a long and successful history. However, when the dependence structure between the variables of the problem is asymmetric then this cannot be captured by the BN.
Barclay, Lorna M. +5 more
core +1 more source
Contemporary Accounting Research, EarlyView.ABSTRACT The capacity of firms to communicate effectively with investors during periods of disruption is a critical but understudied dimension of corporate adaptability. The COVID‐19 pandemic offers a rare empirical setting to observe such adaptability: It eliminated in‐person investor events almost overnight, forcing firms to either withdraw from ...
Andrea K. Down +2 more
wiley +1 more source
, 2008 It is well known that in decision making under uncertainty, while we are guided by a general (and abstract) theory of probability and of statistical inference, each specific type of observed data requires its own analysis. Thus, while textbook techniques
Vladik Kreinovich, Gang Xiang
core
Agricultural and Forest Entomology, EarlyView.Time‐lapse photography with commercially available trail cameras provides a competitive alternative to direct human observations for documenting pollinator flower visits, but its performance varies between crops. In apple, the cameras recorded more diverse pollinator assemblages than the human observer due to larger temporal coverage of the camera ...
Marjaana Toivonen, Paula Humberg
wiley +1 more source
FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections
Computer Graphics Forum, EarlyView.FluidMap faithfully represents the frequency of an attribute and preserves spatial consistency. Current space‐filling methods over‐ or under‐represent attribute categories (i.e., all Voronoi‐based methods), sacrifice spatial consistency (i.e., Nmap) or both (i.e., Voronoi‐MWα).
Daniela Blumberg +5 more
wiley +1 more source
Tubes or Ribbons? Comparing Texture‐space Visualization for Multivariate Line Data
Computer Graphics Forum, EarlyView.Abstract Multivariate line data is critical for analyzing flow fields, agent systems, and dynamic trajectories. Embedding secondary variables along spatial paths using surface‐based primitives such as ribbons and circular tubes introduces challenges related to perspective, scale, and distortion.
B. Russig +3 more
wiley +1 more source
A CLUE for CLUster Ensembles [PDF]
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications.
Kurt Hornik
core
The Story(line) So Far: A Survey on Storyline Visualization
Computer Graphics Forum, EarlyView.Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo +4 more
wiley +1 more source
Subspecies taxonomy reflects social and geographic patterns of taxonomic effort in tetrapods
Conservation Biology, EarlyView.Abstract Subspecies have been used in conservation biology to account for intraspecific patterns in genetic diversity, which is crucial to long‐term population viability. Although over 3200 subspecies are currently assessed by the International Union for Conservation of Nature Red List, their biological relevance remains controversial.
Jhonny J. M. Guedes +3 more
wiley +1 more source
A qualitative assessment of quantitative easing sentiment
Economic Inquiry, EarlyView.Abstract This mixed‐method study undertakes a comprehensive inquiry of the public discourse on social media surrounding quantitative easing (QE) across the US, the UK, and the European Union. Utilizing a unique tweet dataset, we reveal the sentiment polarity toward QE policy to be strongly negative, at 71.27%, with positive sentiment a mere 4.25 ...
Niamh Wylie, Martha O’Hagan‐Luff
wiley +1 more source