Results 31 to 40 of about 6,440,632 (323)
In this paper, we consider the robust adaptive non parametric estimation problem for the periodic function observed with the Levy noises in continuous time.
Evgeny Pchelintsev +2 more
doaj +1 more source
Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this study, we applied random forests (RFs), hybrid methods of RF and geostatistics,
Jin Li +3 more
doaj +1 more source
A Wright-Fisher model with indirect selection [PDF]
We study a generalization of the Wright--Fisher model in which some individuals adopt a behavior that is harmful to others without any direct advantage for themselves.
Goudenège, Ludovic, Zitt, Pierre-André
core +4 more sources
A Large-Scale Empirical Study of Aligned Time Series Forecasting
Automated Machine Learning (AutoML) tools for time series forecasting represent a frontier in both academic and industrial research, addressing the need for efficient, accurate predictions in various domains.
Polina Pilyugina +6 more
doaj +1 more source
Modeling perspective for the relevant market of voice services: Mobile to Mobile
The markets, associated to -mobile to mobile- services of voice, in Advanced Mobile Telecommunications services in Latin America have been subject to dominant operator regulatory processes, which are necessary to attain the market conditions for optimal ...
O. Lucía Quintero +2 more
doaj +1 more source
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs).
Nicola Baldo +2 more
doaj +1 more source
The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
doaj +1 more source
Optimal Neighborhood Selection for AR-ARCH Random Fields with Application to Mortality
This article proposes an optimal and robust methodology for model selection. The model of interest is a parsimonious alternative framework for modeling the stochastic dynamics of mortality improvement rates introduced recently in the literature.
Paul Doukhan +2 more
doaj +1 more source
Fence methods for mixed model selection
Many model search strategies involve trading off model fit with model complexity in a penalized goodness of fit measure. Asymptotic properties for these types of procedures in settings like linear regression and ARMA time series have been studied, but ...
Gu, Zhonghua +3 more
core +1 more source

