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JOINT MAINTENANCE AND SPARE COMPONENT PROVISIONING POLICY FOR k-OUT-OF-n SYSTEMS
CHEN, LIANGPENG; YE, ZHI-SHENG; XIE, MIN - In: Asia-Pacific Journal of Operational Research (APJOR) 30 (2013) 06, pp. 1350023-1
This study develops an analytic framework for joint modeling of age-based preventive maintenance and (s, Q) spare component provisioning policy for k-out-of-n:G systems with i.i.d. nonrepairable components. We assume that during system maintenance, instead of discarding the whole system, only...
Persistent link: https://www.econbiz.de/10010723226
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PARAMETER ESTIMATION FOR A REGIME-SWITCHING MEAN-REVERTING MODEL WITH JUMPS
WU, PING; ELLIOTT, ROBERT J. - In: International Journal of Theoretical and Applied … 08 (2005) 06, pp. 791-806
In this paper we propose a type of mean reverting model with jumps, where the mean reverting level changes according to a continuous time, finite state Markov chain. This model could be applied to the interest rate and energy markets. We apply filtering techniques and obtain finite dimensional...
Persistent link: https://www.econbiz.de/10004970127
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Gene, Genomics and Networks
Vimal, Manoj - In: International Journal of Actor-Network Theory and … 9 (2017) 1, pp. 1-12
Innovations in biomedical research have the potential to transform the healthcare diagnostics. Human genomics research …, technology and society by attempting to understand as how human genomics approach can help the life scientists to unravel the …-human ‘actants' play a decisive role in case of human genomics research. Rise of human genomics has been traced since the term …
Persistent link: https://www.econbiz.de/10012043018
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A Latent Feature Model Approach to Biclustering
Caldas, José; Kaski, Samuel - In: International Journal of Knowledge Discovery in … 6 (2016) 2, pp. 11-28
Biclustering is the unsupervised learning task of mining a data matrix for useful submatrices, for instance groups of genes that are co-expressed under particular biological conditions. As these submatrices are expected to partly overlap, a significant challenge in biclustering is to develop...
Persistent link: https://www.econbiz.de/10012046198
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Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition
Putluri, Srinivasareddy; Fathima, Shaik Yasmin - In: International Journal of Measurement Technologies and … 6 (2017) 1, pp. 22-32
the field of genomics. Learning of the protein coding regions is a key aspect of disease identification and designing …
Persistent link: https://www.econbiz.de/10012046703
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Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
West, Mike - 2010
We describe a class of sparse latent factor models, called graphical factor models (GFMs), and relevant sparse learning algorithms for posterior mode estimation. Linear, Gaussian GFMs have sparse, orthogonal factor loadings matrices, that, in addition to sparsity of the implied covariance...
Persistent link: https://www.econbiz.de/10009475411
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Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions
Huang, Jim C. - 2009
This thesis presents a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks (CDNs). Unlike graphical models for probability density and mass functions, in a CDN, the marginal...
Persistent link: https://www.econbiz.de/10009455298
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Uses of Genomic Predictions in Commercial Beef Cattle Operations
Miller, Matt - 2011
progressive beef operation could incorporate genomics into its management system. To achieve my next objective, I again used …
Persistent link: https://www.econbiz.de/10009485668
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Family Disadvantage, Gender and the Returns to Genetic Human Capital
Ronda, Victor; Agerbo, Esben; Bleses, Dorthe; … - 2020
This paper relies on a large-scale sample of genotyped individuals linked with detailed register data in Denmark to investigate the context-dependence of genetic influences on human capital formation. We show that the returns to genetic endowments, measured by a polygenic score for educational...
Persistent link: https://www.econbiz.de/10012270119
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O que é medicina de precisão e como ela pode impactar o setor de saúde?
De Negri, Fernanda; Uziel, Daniela - 2020
Precision medicine or personalized medicine refers to the customization of medical treatment based on the ability to classify individuals into subpopulations that differ in susceptibility to a particular disease or in response to a specific treatment. This new perception about diagnosis and...
Persistent link: https://www.econbiz.de/10012616456