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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9367
Abstract: It is challenging to evaluate the genetic impacts on a biologic feature and separate them from environmental impacts. This is usually achieved through twin studies by assessing the collective genetic impact defined by the differential…
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Keywords:
mixture distribution;
twin;
genetic impact;
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Published in 2019 at "Finance Research Letters"
DOI: 10.1016/j.frl.2018.04.006
Abstract: Abstract We evaluate a utility indifference price with an exponential utility function, which we call a risk-sensitive value measure, under a normal mixture distribution with time-varying volatility. We compare the risk-sensitive value measure and mean-variance…
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Keywords:
time varying;
mixture distribution;
distribution time;
utility indifference ... See more keywords
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Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2021.04.002
Abstract: Abstract We consider the model Y = X + ξ where Y is observable, ξ is a noise random variable with density f ξ , X has an unknown mixed density such that P (…
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Keywords:
density estimation;
distribution unknown;
density;
estimation mixture ... See more keywords
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Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1610162
Abstract: ABSTRACT The paper investigates the design of single and sequential variable acceptance sampling plans for a mixture distribution. Mixture distributions are seen in many practical problems such as life testing experiments of electronic components and…
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Keywords:
plans mixture;
variable acceptance;
acceptance sampling;
mixture distribution ... See more keywords
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Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.2995674
Abstract: In this article, a new variational adaptive Kalman filter with Gaussian-inverse-Wishart mixture distribution is proposed for a class of linear systems with both partially unknown state and measurement noise covariance matrices. The state transition and…
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Keywords:
inverse wishart;
mixture distribution;
wishart mixture;
gaussian inverse ... See more keywords
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1
Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3075280
Abstract: Few-shot learning aims at heuristically resolving new tasks with limited labeled data; most of the existing approaches are affected by knowledge learned from similar experiences. However, inter-class barriers and new samples insufficiency limit the transfer…
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Keywords:
mixture distribution;
shot learning;
shot;
distribution graph ... See more keywords