A double zero-inflated spatio-temporal model distinguishes true zeros from detection-limited zeros in precipitation using probit, Gamma, and Gaussian process components.
and Best, Nicola G
9 Pith papers cite this work. Polarity classification is still indexing.
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A linked Tucker tensor factorization enables a joint individualized hurdle-ordinal regression model that uncovers spatially heterogeneous effects of fluoride and diet on paired caries and fluorosis outcomes.
Predictively consistent priors let complex Bayesian models match or beat the out-of-sample performance of selected simpler models across linear, logistic, and nonlinear examples without explicit selection.
A QCD-vacuum-based model of dynamical dark energy fits Planck+ACT+SPT, DESI DR2, and supernova data while reproducing the late-time evolution favored by DESI.
A Bayesian mixed Hawkes process with Weibull baseline intensity and random effects is developed to model seizure clustering and heterogeneity in focal epilepsy from the Human Epilepsy Project data.
Bayesian spatiotemporal model with spatial deformation yields substantial predictive gains for incomplete matrix-variate responses under anisotropic spatial dependence.
Review and simulation comparison of more than 40 threshold selection procedures for univariate extreme value analysis, with application to daily rainfall data.
Derives background solutions for linear f(Q,T)=αQ+βT plus DBI field and reports MCMC posteriors from Hubble, BAO, and SNIa data that are consistent with late-time constraints.
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Observational Constraints on $f(Q,T)$ Gravity in the Presence of DBI-Essence Scalar Field
Derives background solutions for linear f(Q,T)=αQ+βT plus DBI field and reports MCMC posteriors from Hubble, BAO, and SNIa data that are consistent with late-time constraints.