Results 221 to 230 of about 4,893,677 (289)
Estimating Optimal Site-Specific Individualized Treatment Rules With Limited Data Sharing. [PDF]
Qiao N, Zhang J, Zhan Z.
europepmc +1 more source
Optimal subsampling for regression with mixed‐type predictors
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Time Series Correlations and Kolmogorov Complexity: A Hausdorff Dimension Perspective. [PDF]
Hamzi B +4 more
europepmc +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance. [PDF]
Zeng L, Tang W, Ren Z, Ding Y.
europepmc +1 more source
Sparse maximum likelihood estimation of regression models
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source
Deep learning for the change-point Cox model with current status data. [PDF]
Huang Q, Feng A, Wu Q, Tong X.
europepmc +1 more source
Order restricted row‐column cluster randomized design
Abstract This research introduces a novel two‐stage cluster randomized design, the order restricted row‐column cluster randomized design. The new design builds upon the cluster randomized block design by incorporating a second layer of blocking, achieved through ranking cluster units that are randomly sampled from the population.
Dalton Hopper +2 more
wiley +1 more source
The Impact of BOLD-Induced Linewidth Modulation on Functional <sup>1</sup>H MRS Analysis. [PDF]
Wilson M, Finney SM, Clarke WT.
europepmc +1 more source

