Results 101 to 110 of about 14,908,682 (295)
State‐Dependent Market (In)Efficiency in Cryptocurrency Markets
ABSTRACT This paper develops a meta‐learning framework to test whether cryptocurrency market inefficiency is static or state‐dependent. To resolve competing claims between the Efficient and Adaptive Market Hypotheses (AMH), we construct an adaptive trading strategy using high‐frequency data for 50 major cryptocurrencies.
Sasan Barak +2 more
wiley +1 more source
A DynamicTrustEvaluationModelBasedonOptimizedHiddenMarkovProcess
:In order to depict high dynamic of entity behavior quickly and accurately,a trust evaluation model based on continuous-time hidden Markov process was proposed.
郜燕, 刘文芬
doaj
UTILIZING DISCRETE HIDDEN MARKOV MODELS TO ANALYZE TETRAPLOID PLANT BREEDING
In plant heredity, the phenotype is the result of observation that can be directly observed, while the genotype is the underlying hidden factor that underlies the expression of the phenotype.
Nahrul Hayati +2 more
doaj +1 more source
When Politics Meets Money: Geopolitical Risk and Money Demand in the US and Euro Area
ABSTRACT This paper investigates the impact of geopolitical risk on real money demand in the United States and the Euro Area using Divisia monetary aggregates. To account for the potential instability of money demand and the complex nature of geopolitical shocks, we employ a comprehensive empirical framework combining linear and non‐linear ...
Anirban Sengupta +2 more
wiley +1 more source
Recognition of Warping Face Image and Morphing Face Image of Two Warping Image Using Hidden Markov Model [PDF]
In this paper, using algorithm models of Hidden Markov models, it has been concluded that the possibility of recognizing the warp face and the morph face the image real departments face on recognizing object.
doaj +1 more source
Identifiable regional and neural network abnormalities in early childhood anxiety
Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson +7 more
wiley +1 more source
Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]
Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core
We illustrate how a Bayesian multi‐state mark‐resight (MSMR) modeling approach can be used to estimate survival and cause‐specific mortality probabilities of GPS‐collared European fallow deer in southeastern Australia. Our case study illustrates the flexibility of Bayesian MSMR models for incorporating imperfect detection probability (arising from ...
David M. Forsyth +6 more
wiley +1 more source
Hidden Markov Model Variants and their Application [PDF]
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way. This approach is based on mutual information, probabilistic measures, hidden Markov models, and other purely statistical inputs.
openaire +3 more sources
Bears selected areas with lower percent slope and higher percent canopy, but movement flow across the landscape was more generalized for translocated bears. Interstate 40 was a barrier to movement, but our models predicted several consistent road segments as having higher than average flow where bears might benefit from crossing structures.
Kristin J. Botzet +2 more
wiley +1 more source

