Results 121 to 130 of about 145,010 (267)
Autoregressive Time Series Forecasting of Computational Demand
We study the predictive power of autoregressive moving average models when forecasting demand in two shared computational networks, PlanetLab and Tycoon.
Sandholm, Thomas
core +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
Correlation Between the New Bite Force Meter and GC Dental Prescale II
This study evaluated a new one‐sided bite force meter (OBM‐01). In healthy and older adults, the device showed good reliability and moderate correlation with Dental Prescale II measurements. Habitual chewing side bite force was significantly higher, suggesting OBM‐01 may be useful for assessing oral function in clinical settings.
Mineka Yoshikawa +9 more
wiley +1 more source
Forecasting Wheat Production in Libya Using ARIMA Model-ARIMA
The wheat crop is a strategic crop in Libya as a food crop and a raw material for some food industries. The study aimed to predict the amount of wheat production in context of Libya during the next six years from 2023-2028. The Auto-regressive Integrated Moving Average (ARIMA) model has been used and relied on Food and Agriculture Organization data ...
openaire +1 more source
An alternative marginal likelihood estimator for phylogenetic models [PDF]
Bayesian phylogenetic methods are generating noticeable enthusiasm in the field of molecular systematics. Many phylogenetic models are often at stake and different approaches are used to compare them within a Bayesian framework. The Bayes factor, defined
Arima, Serena, Tardella, Luca
core +1 more source
ABSTRACT Sleep bruxism (SB) has been reportedly associated with temporomandibular disorder (TMD); however, solid evidence is lacking. Previous studies have primarily used traditional metrics, such as the masticatory muscle activity (MMA) index and bruxism time index (BTI) to investigate the link between SB and TMD.
Minna Pitkänen +8 more
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
Sequential Outlier Detection in Nonstationary Time Series
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
Maternal effects on recruitment of five gadoid species
Abstract Commercial fishing is almost always non‐random and generally removes large and old individuals from fish stocks, thereby reducing age diversity among spawners. Reduced age diversity may result in less stable recruitment. Here, we explore the influence of age diversity (H), mean age of the spawning stock (MA) and sea surface temperature (SST ...
Ingibjörg G. Jónsdóttir +3 more
wiley +1 more source

