Results 31 to 40 of about 2,501,945 (313)
Maxisets for Model Selection [PDF]
Constructive Approximation, 2009 We address the statistical issue of determining the maximal spaces (maxisets) where model selection procedures attain a given rate of convergence. By considering first general dictionaries, then orthonormal bases, we characterize these maxisets in terms of approximation spaces.
Autin, Florent +3 more
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Model Selection and Post Selection to Improve the Estimation of the ARCH Model
Journal of Risk and Financial Management, 2022 The Autoregressive Conditionally Heteroscedastic (ARCH) model is useful for handling volatilities in economical time series phenomena that ARIMA models are unable to handle. The ARCH model has been adopted in many applications that contain time series data such as financial market prices, options, commodity prices and the oil industry.
Marwan Al-Momani, Abdaljbbar B. A. Dawod
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Data and Model-Driven Selection Using Color Regions
, 1992 A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region information
Syeda-Mahmood, Tanveer Fathima +2 more
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A Large-Scale Empirical Study of Aligned Time Series Forecasting
IEEE AccessAutomated 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
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Modeling perspective for the relevant market of voice services: Mobile to Mobile
Maskana, 2015 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
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Applied Sciences, 2019 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
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Frontiers in Psychology, 2020 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
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Optimal Neighborhood Selection for AR-ARCH Random Fields with Application to Mortality
Stats, 2021 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
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Induction as model selection [PDF]
Proceedings of the National Academy of Sciences, 2008 Overview of hierarchical Bayesian approach to learning structural form proposed by Kemp and Tenenbaum (3), using examples of similarities among a set of animals. (A) The data at the bottom, in the form of a feature vector for each animal, can potentially be produced by alternative forms (ring, partition, tree, order, hierarchy) that can take on many ...
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A population genetics model of marker-assisted selection [PDF]
, 1997 A deterministic two-loci model was developed to predict genetic response to marker-assisted selection (MAS) in one generation and in multiple generations.
Luo, Z. W. +4 more
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