Results 101 to 110 of about 257,916 (299)

Empirical Likelihood Methods for Survival Analysis and Generalized Linear Models with External Auxiliary Information

open access: yes
In clinical studies, how to evaluate the treatment effect is a crucial topic. Nowadays, the cumulative hazard ratio and the difference of survival functions are often applied to accom- plish this task, especially when those hazards may be nonproportional.
Dazhi Zhao
core   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

open access: yesAdvanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell   +3 more
wiley   +1 more source

Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers

open access: yesStats
Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data.
Luca Sartore, Lu Chen, Valbona Bejleri
doaj   +1 more source

Variable selection in generalized random coefficient autoregressive models

open access: yesJournal of Inequalities and Applications, 2018
In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
doaj   +1 more source

Empirical likelihood confidence interval for sensitivity to the early disease stage. [PDF]

open access: yesPharm Stat, 2022
Rahman H   +2 more
europepmc   +1 more source

Generalized empirical likelihood tests in time series models with potential identification failure [PDF]

open access: yes
We introduce test statistics based on generalized empirical likelihood methods that can be used to test simple hypotheses involving the unknown parameter vector in moment condition time series models.
Patrik Guggenberger, Richard Smith
core  

Karl Popper and the Mechanisms of Hydrogen Embrittlement

open access: yesAdvanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

Jackknife–blockwise empirical likelihood methods under dependence [PDF]

open access: yes, 2012
Empirical likelihood for general estimating equations is a method for testing hypothesis or constructing confidence regions on parameters of interest.
Zhang, Rongmao   +5 more
core   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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