Results 51 to 60 of about 2,826,914 (153)

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Monitoring wildlife health for diseases with visible signs by integrating camera traps with marked individuals

Conservation Biology, EarlyView.
Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon, Roi Lapid, Roni King, Elyasaf Freiman, Orr Spiegel, Erez Baruchi, Aviam Atar, Shirli Bar‐David, David Saltz   +8 more
wiley   +1 more source

Inference via the Skewness‐Kurtosis Set

International Statistical Review, EarlyView.
Summary Kurtosis minus squared skewness is bounded from below by 1, but for unimodal distributions, this parameter is bounded by 189/125. In some applications, it is natural to compare distributions by comparing their kurtosis‐minus‐squared‐skewness parameters. The asymptotic behavior of the empirical version of this parameter is studied here for i.i.d.
Chris A. J. Klaassen, Bert van Es
wiley   +1 more source

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

International Statistical Review, EarlyView.
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, Domingo Morales, Nicola Salvati, Francesco Schirripa Spagnolo   +3 more
wiley   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

International Statistical Review, EarlyView.
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, Stefania Gubbiotti, Francesco Mariani   +2 more
wiley   +1 more source

From gateway to value ladder—The curious case of online mutual aid in China

Journal of Risk and Insurance, EarlyView.
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen, Runhuan Feng, Miao Guo, Tianyang Wang   +3 more
wiley   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, EarlyView.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source

Sensitivity analysis for generalized estimating equation with non‐ignorable missing data

Scandinavian Journal of Statistics, EarlyView.
Abstract Many incomplete‐data statistical inference procedures are developed under the missing at random (MAR) assumption. However, the MAR assumption has been criticized as being overly strong for real‐data problems, and is unverifiable by using observed data. To handle data that are missing not at random (MNAR), sensitivity analysis has been proposed
Hui Gong, Kin Wai Chan
wiley   +1 more source

Pulmonary arterial mechanoreceptors mediate sustained sympathoexcitation during high altitude hypoxia in humans

Experimental Physiology, EarlyView.
Abstract Sympathetic nervous system activation is a hallmark of high‐altitude hypoxia, yet the afferent mechanisms remain incompletely defined. We examined the relative contributions of pulmonary arterial mechanoreceptors and carotid chemoreceptors – two excitatory pathways co‐activated by hypoxia – to sustained sympathoexcitation at altitude.
Michiel T. Ewalts, Lydia L. Simpson, Jack S. Talbot, Elliott J. Jenkins, Travis D. Gibbons, Connor A. Howe, Lauren E. Maier, Emily R. Vanden Berg, Alex M. Williams, Philip N. Ainslie, Samuel J. Oliver, Craig D. Steinback, Mike Stembridge, Jonathan P. Moore   +13 more
wiley   +1 more source