Results 141 to 150 of about 4,093 (257)
Temporal aggregation of univariate and multivariate time series models: A survey [PDF]
We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed.
Andrea Silvestrini, David Veredas
core
The random sequence of inter-event times of a level-crossing is a statistical tool that can be used to investigate time series from complex phenomena.
Cammarota Camillo
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This systematic review and meta‐analysis synthesizes Brucella prevalence across human and animal hosts in Bangladesh. Dogs showed the highest prevalence (7.49%), followed by goats (3.86%), cattle (3.67%), humans (2.94%), and horses (1.78%). Abortion history was significantly associated with Brucella infection, underscoring the need for integrated One ...
Radwan Raquib +4 more
wiley +1 more source
This study was based on the application of the nonlinear multilevel mixed-effects theory in modeling the height growth of Eucalyptus plantation. The database was from individual tree measurements, taken from different sites and over time.
Natalino Calegario +3 more
doaj
Aircraft Ionizing Radiation Exposure for Solar Cycle 24/25 From ARMAS and NAIRAS
Abstract Exposure to ionizing radiation from galactic cosmic rays and solar energetic particles at aviation flight altitudes can have an adverse effect on human health. Although airline crews are classified as radiation workers by the International Commission on Radiological Protection (ICRP), in most countries, their level of exposure is unquantified ...
Daniel B. Phoenix +3 more
wiley +1 more source
From Groups to Individuals: How Identifiability Reduces Biased Meta‐Perceptions and Polarization
ABSTRACT Political polarization reflects not only people's attitudes toward rival groups but also their meta‐perceptions—beliefs about how one's group is viewed by the opposing side. These second‐order beliefs are often negatively biased and exaggerated (Lees and Cikara 2020), reinforcing mistrust and perceived division.
Amy Bruck, Ilana Ritov
wiley +1 more source
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients
ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
wiley +1 more source
Accurately modeling the mean and volatility of wind speed can be beneficial to effective wind energy utilization. For this purpose, this paper evaluates the effectiveness of autoregressive moving average-generalized autoregressive conditional ...
Shi, Jing, Erdem, Ergin, Liu, Heping
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Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market [PDF]
In this paper we address the issue of modeling spot electricity prices. After analyzing factors leading to the unobservable in other financial or commodity markets price dynamics we propose a mean reverting jump diffusion model.
Ingve Simonsen +2 more
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Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets [PDF]
Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR).
Roengchai Tansuchat +2 more
core

