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05/17/2022
Uncertainty-based Network for Few-shot Image Classification
The transductive inference is an effective technique in the few-shot lea...
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08/25/2021
Learning Class-level Prototypes for Few-shot Learning
Few-shot learning aims to recognize new categories using very few labele...
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09/08/2020
Controlled Drift Estimation in the Mixed Fractional Ornestein-Uhlenbeck Process
This paper is devoted to the determination of the asymptotical optimal i...
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03/30/2020
Maximum likelihood estimation for mixed fractional Vasicek processes
The mixed fractional Vasicek model, which is an extended model of the tr...
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03/30/2020
Maximum likelihood estimator for mixed fractional Vasicek process
In this paper, we will study asymptotical properties of the unknown para...
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02/03/2018
Stochastic integral with respect to the mixed fractional Brownian motion and drift estimation of the mixed fraction Ornstein-Ulenbeck process
This paper constructs the skorohod integral and symmetric path-wise inte...
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02/03/2018
Parameter estimation for the mean reversion parameter for the mixed Ornstein-Uhlenbeck process
This paper constructs the skorohod integral and symmetric path-wise inte...
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10/26/2017