Now showing items 31-40 of 64
A spatial Bayesian latent factor model for image-on-image regression
(Wiley Periodicals, Inc., 2022-03)
Image-on-image regression analysis, using images to predict images, is a challenging task, due to (1) the high dimensionality and (2) the complex spatial dependence structures in image predictors and image outcomes. In ...
Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling
(Wiley Periodicals, Inc.Springer Science & Business Media, 2022-03)
A central but challenging problem in genetic studies is to test for (usually weak) associations between a complex trait (e.g., a disease status) and sets of multiple genetic variants. Due to the lack of a uniformly most ...
Deep learning with R, François Chollet, Joseph J. Allaire, Shelter Island, NY: Manning
(Wiley Periodicals, Inc.Manning, 2020-03)
Globally intensity- reweighted estimators for K- and pair correlation functions
(Chapman & Hall/CRC PressWiley Periodicals, Inc., 2021-03)
On Pointwise Convergence Of Schrödinger Means
(SpringerWiley Periodicals, Inc., 2020-04)
For functions in the Sobolev space Hs and decreasing sequences tn→0 we examine convergence almost everywhere of the generalized Schrödinger means on the real line, given bySaf(x,tn)=exp(itn(−∂xx)a/2)f(x);here a>0, a≠1. For ...
Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach
(Chapman & HallWiley Periodicals, Inc., 2020-03)
Conditional screening approaches have emerged as a powerful alternative to the commonly used marginal screening, as they can identify marginally weak but conditionally important variables. However, most existing conditional ...
Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data
(Springer Science & Business MediaWiley Periodicals, Inc., 2020-03)
Accurate prognostic prediction using molecular information is a challenging area of research, which is essential to develop precision medicine. In this paper, we develop translational models to identify major actionable ...
An exact Riemann solver for one- dimensional multimaterial elastic- plastic flows with Mie- Grüneisen equation of state without vacuum
(Wiley Periodicals, Inc.California University Livermore Radiation Lab, 2021-04)
In this article, we present exact Riemann solvers for the Riemann problem and the half Riemann problem, respectively, for one- dimensional multimaterial elastic- plastic flows with the Mie- Grüneisen equation of state ...
Improving estimation efficiency for regression with MNAR covariates
(Wiley Periodicals, Inc.Chapman & Hall, 2020-03)
For regression with covariates missing not at random where the missingness depends on the missing covariate values, complete‐case (CC) analysis leads to consistent estimation when the missingness is independent of the ...
Penalized survival models for the analysis of alternating recurrent event data
(Wiley‐Interscience, 2020-06)
Recurrent event data are widely encountered in clinical and observational studies. Most methods for recurrent events treat the outcome as a point process and, as such, neglect any associated event duration. This generally ...