Results 121 to 130 of about 133,611 (249)
Harmonic mean density fusion in distributed tracking: Performance and comparison
In distributed tracking, the harmonic mean density (HMD) fusion can deal with issues, such as non‐independent estimates, inflated covariance and fusion of Gaussian mixtures. This article provides some important results on HMD and shares its resemblance with the state‐of‐the‐art inverse covariance intersection (ICI). Abstract A distributed sensor fusion
Nikhil Sharma +2 more
wiley +1 more source
State of the Field: Royal Studies and Court Studies
Abstract Monarchy, as the world's oldest and most enduring form of political organization, is an area that has attracted the attention of scholars from a range of disciplines. Two connected and complementary fields embody this interdisciplinary study of monarchy and monarchies: royal studies, which takes an all‐encompassing approach to monarchy, and ...
Jonathan Spangler, Elena Woodacre
wiley +1 more source
A NEW GENERALIZATION OF GEORGE & VEERAMANI-TYPE FUZZY METRIC SPACE
In this article, a concept of fuzzy F -metric space, which is a generalization of George & Veeramani-type fuzzy metric space, is introduced. Concepts of convergent sequence, Cauchy sequence, completeness etc.
A. Das, D. Barman, T. Bag
doaj +1 more source
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe +3 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
On convergence in G_Q metric spaces
This paper reviews some basic aspects and proposes and explores the idea of convergence for triple sequences in G_Q-metric space. Furthermore, a thorough analysis and definition of statistical convergence in this context are provided.
Mehmet Gürdal, Omer Kisi
doaj +1 more source
Real‐Time Conformal Maps and Parameterizations
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley +1 more source
Wave Tracing: Generalizing The Path Integral To Wave Optics
Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
wiley +1 more source

