Results 1 to 10 of about 282,171 (166)
VCS and CVS: New combined parametric and non-parametric operation research models
Sustainable Operations and Computers, 2021 The constancy of efficacy derived from parametric and non-parametric is not significant, this paper provides a scientific assessment and proposes two novel combined parametric and non-parametric operation research models, which will be a new experiment ...
Mirpouya Mirmozaffari +4 more
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Analysis of parametric and non-parametric option pricing models
Heliyon, 2022 In this paper, a closed-form analytical solution of option price under the Bi-Heston model is derived. Through empirical analysis, the advantages and disadvantages of the parametric pricing model are compared and analysed with those of the non-parametric
Qiang Luo +3 more
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An algorithm for non-parametric estimation in state–space models [PDF]
Computational Statistics and Data Analysis, 2021 State-space models are ubiquitous in the statistical literature since they provide a flexible and interpretable framework for analyzing many time series. In most practical applications, the state-space model is specified through a parametric model. However, the specification of such a parametric model may require an important modeling effort or may ...
Pierre Ailliot +2 more
exaly +6 more sources
Test for Linearity in Non-Parametric Regression Models
Austrian Journal of Statistics, 2022 The problem of checking the linearity of a regression relationship is addressed. The test uses nonparametric estimation techniques. The null hypothesis is that the regression function is linear; it is tested against the non-specic alternatives hypotheses.
Khedidja Djaballah-Djeddour +1 more
doaj +3 more sources
A Non-Parametric Approach for Survival Analysis of Component-Based Software [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Reliability of a software or system is the probability of system to perform its functions adequately for the stated time period under specific environment conditions.
Sandeep Chopra +4 more
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A non-parametric hierarchical clustering model [PDF]
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2015 © 2015 IEEE. We present a novel non-parametric clustering model using Gaussian mixture model (NHCM). NHCM uses a novel Dirichlet process (DP) prior allowing for more flexible modeling of the data, where the base distribution of DP is itself an infinite mixture of Gaussian conjugate prior.
Mohamad, Saad +2 more
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Non-parametric generalised newsvendor model
Annals of Operations Research, 2022 In classical newsvendor model, piece-wise linear shortage and excess costs are balanced out to determine the optimal order quantity. However, for critical perishable commodities, severity of the costs may be much more than linear. In this paper we discuss a generalisation of the newsvendor model with piece-wise polynomial cost functions to accommodate ...
Soham Ghosh, Sujay Mukhoti
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A Sparse Non-parametric BRDF Model
ACM Transactions on Graphics, 2022 This paper presents a novel sparse non-parametric Bidirectional Reflectance Distribution Function (BRDF) model derived using a machine learning approach to represent the space of possible BRDFs using a set of multidimensional sub-spaces, or dictionaries.
Tanaboon Tongbuasirilai +3 more
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Non-parametric generalized linear model
CoRR, 2020 A fundamental problem in statistical neuroscience is to model how neurons encode information by analyzing electrophysiological recordings. A popular and widely-used approach is to fit the spike trains with an autoregressive point process model. These models are characterized by a set of convolutional temporal filters, whose subsequent analysis can help
Matthew Dowling +2 more
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Heliyon, 2023 Background: Various mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) have been developed in the past years. The effect of time on the performance of such models, however, is unclear given the improvements in the procedure ...
Ricardo R. Lopes +7 more
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