A comparison of Kaplan-Meier-based inverse probability of censoring weighted regression methods. [PDF]
Overgaard M.
europepmc +1 more source
A class of directed acyclic graphs with mixed data types in mediation analysis
Abstract We propose a unified class of generalized structural equation models (GSEMs) with data of mixed types in mediation analysis, including continuous, categorical, and count variables. Such models extend substantially the classical linear structural equation model to accommodate many data types arising from the application of mediation analysis ...
Wei Hao, Canyi Chen, Peter X.‐K. Song
wiley +1 more source
Asymptotic behavior of solutions to coupled semilinear parabolic systems with boundary degeneracy
Xinxin Jing, Yuanyuan Nie, Chunpeng Wang
doaj
Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics. [PDF]
Diele F +5 more
europepmc +1 more source
Subuniformity of harmonic mean p$$ p $$‐values
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
Comparing virus incubation time in SIRC models: Deterministic versus stochastic approaches. [PDF]
Moujahid A, Vadillo F.
europepmc +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
Fear effect on the mobility of individuals in a spatially heterogeneous environment: a delayed diffusive SPIR epidemic model. [PDF]
Sarmad G +3 more
europepmc +1 more source
Robust multitask feature learning with adaptive Huber regressions
Abstract When data from multiple tasks have outlier contamination, existing multitask learning methods perform less efficiently. To address this issue, we propose a robust multitask feature learning method by combining the adaptive Huber regression tasks with mixed regularization. The robustification parameters can be chosen to adapt to the sample size,
Yuan Zhong, Xin Gao, Wei Xu
wiley +1 more source

