Results 141 to 150 of about 33,663 (213)

A class of directed acyclic graphs with mixed data types in mediation analysis

open access: yesCanadian Journal of Statistics, EarlyView.
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

open access: yesElectronic Journal of Differential Equations, 2021
Xinxin Jing, Yuanyuan Nie, Chunpeng Wang
doaj  

Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics. [PDF]

open access: yesBull Math Biol
Diele F   +5 more
europepmc   +1 more source

Subuniformity of harmonic mean p$$ p $$‐values

open access: yesCanadian Journal of Statistics, EarlyView.
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

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

open access: yesCanadian Journal of Statistics, EarlyView.
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

Robust multitask feature learning with adaptive Huber regressions

open access: yesCanadian Journal of Statistics, EarlyView.
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

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