Results 181 to 190 of about 1,700,696 (345)
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi +4 more
wiley +1 more source
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source
Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
PUNTOS DE GIRO EN LA ECONOMÍA ARGENTINA
RESUMEN En este artículo se utilizan diferentes técnicas para identificar los períodos recesivos y expansivos de la economía argentina que permitan establecer una cronología cíclica robusta en función de resultados proporcionados por diferentes métodos.
Cristian Rabanal
doaj
Testing Optimal Punishment Mechanisms under Price Regulation: the Case of the Retail Market for Gasoline [PDF]
We analyse the effects of a price floor on price wars (or deep price cuts) in the retail market for gasoline. Bertrand supergame oligopoly models predict that price wars should last longer in the presence of price floors.
Bruno Versaevel +2 more
core
Power priors for latent variable mediation models under small sample sizes
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Identifying and Forecasting the Turns of the Japanese Business Cycle [PDF]
In this paper we identify and try to predict the turning points of the Japanese business cycle. As a measure of the business cycle we use a composite economic indicator (CEI).
Konstantin A., Kholodilin
core
Abstract Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns.
Yanling Li +3 more
wiley +1 more source
Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks. [PDF]
Zhu F, Liu X, Wen J, Xie L, Peng L.
europepmc +1 more source
Multivariate Regime–Switching GARCH with an Application to International Stock Markets [PDF]
We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth–moment structure.
Markus Haas, Stefan Mittnik
core

