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Adjusted Log-rank Test with Double Inverse Weighting under Dependent Censoring
It is a common issue to compare treatment-specific survival and the weighted log-rank test is the most popular method for group comparison. However,...
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Comparison of Covariate Balance Weighting Methods in Estimating Treatment Effects
Different covariate balance weighting methods have been proposed by researchers from different perspectives to estimate the treatment effects. This...
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Weighted Probability Density Estimator with Updated Bandwidths
In this paper, the authors study a class of weighted version of probability density estimator. It is shown that the weighted estimator contains some...
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Global optimization via inverse distance weighting and radial basis functions
Global optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function ...
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Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers
Regularization is necessary when solving inverse problems to ensure the well-posedness of the solution map. Additionally, it is desired that the...
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Applying the Separation of Probability Distribution Mixtures to Problems of Financial Analysis
AbstractThe problem of separating mixtures of probability distributions is considered. A way of optimizing is proposed as an alternative to the...
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Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports
Characterising intractable high-dimensional random variables is one of the fundamental challenges in stochastic computation. The recent surge of...
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Multiply Robust Estimation of Quantile Treatment Effects with Missing Responses
Causal inference and missing data have attracted significant research interests in recent years, while the current literature usually focuses on only...
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A Semiparametric Additive-multiplicative Rates Model for the Weighted Composite Endpoint of Recurrent and Terminal Events
Recurrent event data are commonly encountered in many scientific fields, including biomedical studies, clinical trials and epidemiological surveys,...
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Inverse parameter estimation to predict material parameters of the Cowper–Symonds constitutive equation in electrohydraulic forming process
The development of a reliable numerical simulation is essential for understanding high-speed forming processes such as electrohydraulic forming...
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Continuous Measurements in Probability Representation of Quantum Mechanics
AbstractThe continuous quantum measurement within the probability representation of quantum mechanics is discussed. The partial classical propagator...
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Empirical Likelihood of Quantile Difference with Missing Response When High-dimensional Covariates Are Present
We, in this paper, investigate two-sample quantile difference by empirical likelihood method when the responses with high-dimensional covariates of...
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Analysis of Informatively Interval-Censored Case–Cohort Studies with the Application to HIV Vaccine Trials
Case–cohort studies are commonly used in various investigations, and many methods have been proposed for their analyses. However, most of the...
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Sparse Estimation of High-Dimensional Inverse Covariance Matrices with Explicit Eigenvalue Constraints
Firstly, this paper proposes a generalized log-determinant optimization model with the purpose of estimating the high-dimensional sparse inverse...
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An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection
Selecting financial products is one of the most fundamental investment activities to both individuals and companies, and therefore it is very...
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Statistical and deterministic inverse methods in the geosciences: introduction, review, and application to the nonlinear diffusion equation
Using one and two dimensional steady and advective nonlinear diffusion equation as examples, both, statistical and deterministic inversion approaches...
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Physics-Informed Neural Networks with Two Weighted Loss Function Methods for Interactions of Two-Dimensional Oceanic Internal Solitary Waves
The multiple patterns of internal solitary wave interactions (ISWI) are a complex oceanic phenomenon. Satellite remote sensing techniques indirectly...
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Regression Estimation for Longitudinal Data with Nonignorable Intermittent Nonresponse and Dropout
We mainly focus on regression estimation in a longitudinal study with nonignorable intermittent nonresponse and dropout. To handle the...
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Active-subspace analysis of exceedance probability for shallow-water waves
We model shallow-water waves using a one-dimensional Korteweg–de Vries equation with the wave generation parameterized by random wave amplitudes for...
