Confidence interval construction for multivariable truncated spline logistic model (MTSLM). [PDF]
Suriaslan AS +3 more
europepmc +1 more source
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo +3 more
wiley +1 more source
Many plants naturalized as aliens abroad have also become more common within their native regions. [PDF]
Paudel R +21 more
europepmc +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
Self-reported expressibility predicts communicative success: Open dataset, validation, and simulation. [PDF]
Ćwiek A, Fuchs S, Pouw W, Kadavá Š.
europepmc +1 more source
Linking the Comparison and Graphical Approaches to Bipartite Matching
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley +1 more source
FGO-PMB: A Factor Graph Optimized Poisson Multi-Bernoulli Filter for Accurate Online 3D Multi-Object Tracking. [PDF]
Jin J, Zhang J, Wang Y, Liu Y.
europepmc +1 more source
A note on generalised information criteria for structured sparse models
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes +1 more
wiley +1 more source
Multimodal Factor Analysis Reveals Five Robust Phenotypes of Healthy Aging in a Russian Population Cohort. [PDF]
Machekhina LV +6 more
europepmc +1 more source
Theoretical Investigation of Stiffness and Vibration Frequency Enhancement in Novel Membrane-Wrapped Lattice Beams. [PDF]
Xi P +5 more
europepmc +1 more source

