Results 221 to 230 of about 24,138 (305)

Data reconciliation in multi‐trait experiments with kinship ordination

Methods in Ecology and Evolution, Volume 17, Issue 6, Page 1799-1817, June 2026.
Abstract A central aim in biology is understanding the heritability of traits and how trait interactions contribute to success in diverse environments. Experiments that record multiple traits from individuals of known pedigree or genetic relatedness in distinct environments are key to addressing this aim.
Justin J. Van Ee, Megan L. Vahsen, Diana Gamba, Toby M. Maxwell, Bill E. Davidson, Brynne E. Lazarus, Lauren M. Porensky, Ruth Hufbauer, Matthew J. Germino, Peter B. Adler, Jesse R. Lasky, Mevin B. Hooten   +11 more
wiley   +1 more source

Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach. [PDF]

Health Econ
Marra G, Radice R.
europepmc   +1 more source

Bayesian Decision Thresholds for Bushfire Warnings: Calibration and Robustness for Rare‐Event Risk

Australian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Current bushfire warning systems communicate the probability of a warning given danger, but residents require the probability of danger given a warning. This misalignment, combined with the extreme rarity of catastrophic fires, often leads to the dangerous ‘wait and see’ behaviour.
Miodrag Lovric, Ojas Davé
wiley   +1 more source

A tiger is not always a satyr: role of male mating behaviour in interspecific mating interactions between Aedes aegypti and Aedes albopictus. [PDF]

Parasit Vectors
Vollans M, Zhang C, Alfonso-Parra C, Paaijmans KP, Gubbins S, Bonsall MB, Cator LJ.   +6 more
europepmc   +1 more source

Simultaneously Modelling Occurrence and Quantity of Multivariate Semicontinuous Data

Australian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Joint models have been developed recently for multivariate semicontinuous data; however, joint modelling implies structured covariance and nonnegative correlation among responses, and thus is inflexible in accommodating complex covariance structures in practice.
Xingde Duan, Renjun Ma
wiley   +1 more source

Evaluating the Cauchy combination test for count data. [PDF]

PLoS One
Alsulami H, Liverani S.
europepmc   +1 more source

An Assessment of the Use of Partial Least Squares Structural Equation Modelling (PLS‐SEM) in Educational Leadership and Management Research

European Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT Structural equation modelling (SEM) has become a widely used method across various disciplines including educational leadership and management (EDLM). Although researchers in many disciplines have conducted reviews regarding the use of PLS‐SEM, its application in EDLM has not yet been reviewed comprehensively.
Yuting Zhang, Donnie Adams, Jun‐Hwa Cheah, Viraiyan Teeroovengadum, T. Ramayah   +4 more
wiley   +1 more source

Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting. [PDF]

PLoS One
Zeng J, Wu J.
europepmc   +1 more source

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo, Matthew Wilson, Marwan Katurji, Fernando J. Méndez, Cyprien Bosserelle, Emily Lane   +5 more
wiley   +1 more source

Marginally Interpretable Spatial Logistic Regression With Bridge Processes. [PDF]

Stat Med
Lee CJ, Dunson DB.
europepmc   +1 more source