research
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10/19/2022
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency
Physics-informed neural networks (PINNs) have been widely applied in dif...
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02/28/2021
Maximum Approximate Bernstein Likelihood Estimation of Densities in a Two-sample Semiparametric Model
Maximum likelihood estimators are proposed for the parameters and the de...
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11/16/2019
Maximum Approximate Likelihood Estimation in Accelerated Failure Time Model for Interval-Censored Data
The approximate Bernstein polynomial model, a mixture of beta distributi...
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06/20/2019
Maximum Approximate Bernstein Likelihood Estimation in Proportional Hazard Model for Interval-Censored Data
Maximum approximate Bernstein likelihood estimates of density function a...
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01/22/2019