Results 111 to 120 of about 2,501,945 (313)
Empirical Information Criteria for Time Series Forecasting Model Selection [PDF]
In this paper, we propose a new Empirical Information Criterion (EIC) for model selection which penalizes the likelihood of the data by a function of the number of parameters in the model.
R.J. Hyndman, Md B. Billah, A.B. Koehler
core
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
A Generalized Parametric Selection Model for Non-Normal Data [PDF]
I develop a new approach for sample selection problems that allows parametric forms of any type to be chosen for both for the selection and the observed variables.
James E. Prieger
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Model selection criteria and quadratic discrimination in ARMA and SETAR time series models [PDF]
, 2004 We show that analyzing model selection in ARMA time series models as a quadratic discrimination problem provides a unifying approach for deriving model selection criteria.
Peña, Daniel, Galeano, Pedro
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A synergistic reputation-policy based trust model for Grid resource selection [PDF]
, 2011 In the context of Grid computing, reputation-based trust management systems are playing an increasingly important role for supporting coordinated resource sharing and ensuring provision of quality of service.
Zetuny, Y.
core +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
EnergiesLoad disaggregation is the process of identifying an individual appliance’s power demand within aggregate electrical load data. Virtually all recently proposed disaggregation methods are based on neural networks, thanks to their superior performance ...
Mazen Bouchur, Andreas Reinhardt
doaj +1 more source
Model selection for wild turkey hunter success rates using small‐area estimation methods
Wildlife Society Bulletin, 2018 Wildlife management agencies conduct hunter surveys to obtain information useful for making management decisions. Often these surveys are designed to collect data, such as hunter success rates, with reliable precision at statewide or regional scales ...
Steven L. Sheriff +4 more
doaj +1 more source
Outsourcing and acquisition models comparison related to IT supplier selection decision analysis
, 2012 This paper presents a comparison of acquisition models related to decision analysis of IT supplier selection. The main standards are: Capability Maturity Model Integration for Acquisition (CMMI-ACQ), ISO / IEC 12207 Information Technology / Software Life
Calvo-Manzano Villalon, Jose Antonio +1 more
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Development Of Model For Supplier Selection And Order Allocation With Discount Pricing And Expected Quality Loss [PDF]
, 2012 This paper discusses the development of optimization model for supplier selection and order allocation considering price discounts and quality of the components that are measured based on expectation of quality loss cost.
M. Imron , Mustajib
core