Results 141 to 150 of about 5,976,249 (348)

Noncausal AR‐ARCH Model and Its Applications to Financial Time Series

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We extend the noncausal autoregressive models by introducing noncausality into the variance component, allowing the volatility to depend on future prices as well. We refer to this model as the noncausal AR‐ARCH model, and it enables us to account for shocks arising from market agents who possess more information and engage in forward‐looking ...
Yaosong Zhan   +3 more
wiley   +1 more source

Kalman and Cauchy clustering for anomaly detection based authentication of IoMTs using extreme learning machine

open access: yesIET Communications, EarlyView., 2022
Abstract The vulnerabilities of the Internet of Things (IoTs) in general and the Internet of Mobile Things (IoMTs) in particular motivate researchers to equip them with security systems against intruders and attacks. The integration of anomaly detection with intrusion detection for IoMTs has not been addressed adequately.
Tamara Saad Mohamed   +3 more
wiley   +1 more source

Mildly explosive autoregression under weak and strong dependence [PDF]

open access: yes
A limit theory is developed for mildly explosive autoregression under both weakly and strongly dependent innovation errors. We find that the asymptotic behaviour of the sample moments is affected by the memory of the innovation process both in the in the
Tassos Magdalinos
core  

LAX phases: A family of novel stable layered materials, informatics‐based discovery

open access: yesInfoMat, EarlyView.
This research presents LAX phases, innovative layered materials from late transition metals, as alternatives to MAX phases. Using crystal structure prediction and machine learning, we identified 207 stable LAX systems with superior mechanical properties. These findings open pathways for LXene synthesis, promising advancements in catalysis and materials
Ehsan Alibagheri   +7 more
wiley   +1 more source

Investigating an Asymmetric Ratio Cosine Distribution

open access: yesPan-American Journal of Mathematics
Most real-world data have asymmetric features, slight or pronounced, that cannot be analyzed in depth using classical symmetric distributions. This is especially true when the underlying phenomena take their values in bounded support.
Christophe Chesneau
doaj   +1 more source

Peer Effects in Bin ary Outcomes: Strategic Complementarity and Taste for Conformity With Endogenous Networks

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT This paper introduces a generalized model of peer effects for binary outcomes, based on a network game that accounts for strategic complementarity (influence of the number of peers that select the same action) and conformity to social norms (penalizing deviations from the average peers' action).
Mathieu Lambotte
wiley   +1 more source

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