Results 141 to 150 of about 812,319 (279)

Influence of Geopolitical Risk on Energy Transition and Climate Change

Business Strategy and the Environment, EarlyView.
ABSTRACT Geopolitical tensions can influence energy transition, which, in turn, can impact climate change. Thus, we construct a framework that integrates these processes, analyzing 17 economies from 1990 to 2020 using a GVAR model. We hypothesize that geopolitical risk shocks affect economies through domestic financial markets.
Luccas Assis Attílio
wiley   +1 more source

Finite-horizon quantile martingale posteriors: raw-urn laws and matrix-gain regression

Martingale posteriors quantify uncertainty by forward-imputing observations from one-step-ahead predictive distributions, but implementations stop after finitely many imputations. For the empirical Pólya-urn posterior of a quantile the law of the stopped state is derived.
openaire   +2 more sources

Baseline Body Mass Index Category and Incident Treated Hypertension in Australian Men: A Linked Prospective Cohort Study Using PBS/MBS Data

Chronic Diseases and Translational Medicine, EarlyView.
Kaplan–Meier hypertension‐free survival by baseline body mass index category, primary adult cohort (men aged ≥ 18 years, n = 12,742). Time since baseline in years is plotted on the horizontal axis and the probability of remaining free of treated hypertension is plotted on the vertical axis. Numbers at risk are shown beneath the plot.
Ebenezer Afrifa‐Yamoah
wiley   +1 more source

A Note on Implementing Box-Cox Quantile Regression [PDF]

The Box-Cox quantile regression model using the two stage method suggested by Chamberlain (1994) and Buchinsky (1995) provides a flexible and numerically attractive extension of linear quantile regression techniques.
Wilke, Ralf A., Zhang, Xuan, Fitzenberger, Bernd   +2 more
core  

Prefrontal Planning Latency Associated With Age and Serological Evidence of Microbial Exposure

Chronic Diseases and Translational Medicine, EarlyView.
Planning latency versus age by group. Scatterplot showing individual observations (n = 53) stratified by fibromyalgia status. LOESS smoothing curves with 95% confidence intervals (shaded regions) illustrate the relationship within each group. Overall, rₛ = 0.394 (p = 0.003).
Basant K. Puri, Rosemarie Preyer, Gary S. Lee, Lucy Monaghan, Armin Schwarzbach   +4 more
wiley   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

Canadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Sparse maximum likelihood estimation of regression models

Canadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source

A Consistent Nonparametric Test for Causality in Quantile [PDF]

This paper proposes a nonparametric test of causality in quantile. Zheng (1998) has proposed an idea to reduce the problem of testing a quantile restriction to a problem of testing a particular type of mean restriction in independent data.
Kiho Jeong, Wolfgang Härdle
core