Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.
Superconductivity in Tetragonal LaPt_{2-x}Ge_{2+x}
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
abstract
We find that a tetragonal CaBe_2Ge_2-type structure can be stabilized in non-stoichiometric LaPt_{2-x}Ge_{2+x}. We further discovered that tetragonal LaPt_{2-x}Ge_{2+x} with x=0.15 and 0.2 respectively superconduct at Tc=1.85 K and 1.95 K, which is about four time higher than that in monoclinic LaPt_2Ge_2.
citation-role summary
background 1
citation-polarity summary
years
2026 6roles
background 1polarities
unclear 1representative citing papers
Introduces quantile-based effectiveness persistence function as tail mean divided by quantile, shows equivalence to first L-moment of scaled tail, and develops nonparametric estimator with bootstrap equivalence test for biosimilar evaluation.
A maximum likelihood estimator based on geometric records estimates the tail index of Pareto-type distributions with proven consistency, asymptotic normality, and advantages over Hill's estimator in sequential or low-measurement contexts.
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.
Constrained weighted Bayesian bootstrap extends weighted Bayesian bootstrap to constrained posteriors with asymptotics matching restricted MLE and is demonstrated on option pricing.
citing papers explorer
-
Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.
-
Quantile-Based Effectiveness Persistence Function: A Tail-Focused Metric with Theory, Estimation, and Application to Biosimilar Evaluation
Introduces quantile-based effectiveness persistence function as tail mean divided by quantile, shows equivalence to first L-moment of scaled tail, and develops nonparametric estimator with bootstrap equivalence test for biosimilar evaluation.
-
To select or not to select: predictively consistent priors instead of model selection
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.
-
Constrained Weighted Bayesian Bootstrap
Constrained weighted Bayesian bootstrap extends weighted Bayesian bootstrap to constrained posteriors with asymptotics matching restricted MLE and is demonstrated on option pricing.