Results 51 to 60 of about 2,791 (184)

A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie, Chuang Liu, Yang Chen, Zi‐Ke Zhang, Xiaoyang Liu, Xiu‐Xiu Zhan   +5 more
wiley   +1 more source

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

Optimal Refund Mechanism With Consumer Learning

The RAND Journal of Economics, EarlyView.
ABSTRACT This article studies the optimal refund mechanism when an uninformed buyer learns about their valuation over time. We consider various refund mechanisms including simple return policies (no returns or free returns), and stochastic return policies, which allow the buyer to keep the product with some probability upon receiving a refund.
Qianjun Lyu
wiley   +1 more source

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal, Alberto Cassese, Math J. J. M. Candel, Sophie Vanbelle   +3 more
wiley   +1 more source

Frisch Elasticity, Directed Technical Change, and Automation: A Unified Framework for Wage Polarization and Skill Premium Dynamics

Bulletin of Economic Research, EarlyView.
ABSTRACT This paper examines how labor‐supply responsiveness, captured by the inverse Frisch elasticity, shapes wage inequality in the presence of directed technical change and automation. We develop a dynamic general equilibrium model with task‐based production, heterogeneous labor, and endogenous R&D.
Óscar Afonso
wiley   +1 more source

Computing Skinning Weights via Convex Duality

Computer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Understanding Visitor Path Choice and Enhancing Wayfinding in Museums: A Critical Review of a Century of Research

Curator: The Museum Journal, EarlyView.
ABSTRACT The paths taken by visitors in museums influence what they see, do, learn, and experience. Poorly designed museums can lead to missed goals and opportunities. In this article, I critically review visitor studies published since the 1930s to evaluate explanations for visitor path choice in museums, namely, the location and attractiveness of ...
Gareth Davey
wiley   +1 more source

Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing

Economic Inquiry, Volume 63, Issue 2, Page 424-440, April 2025.
Abstract Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data.
Jiatong Zhong
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