Results 141 to 150 of about 5,073,058 (275)

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

On a Distribution Arising in the Context of Comparative Model Performance Evaluation Problems [PDF]

open access: yes
The paper deals with a distribution that arises as the distribution of a sample statistic used to compare the predictive ability of two competing linear models.
Panaretos, John   +2 more
core  

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

open access: yesCanadian 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

Analyzing zero‐truncated recurrent event data by stratified regression with time‐varying coefficients

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen   +3 more
wiley   +1 more source

Developing Underdispersed Discrete Distributions: A New Approach to Poisson Generalization [PDF]

open access: yes
openThis thesis introduces a new family of discrete, mean-parametrized count distributions that can achieve arbitrarily low variance for a given mean.
PANIZZUTTI, GIORGIO
core  

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

open access: yesCanadian 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

open access: yesCanadian 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

Irregular visits in longitudinal studies: Comparing inverse intensity of visit weighting and imputation in a causal analysis of antidepressant therapeutic treatment

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe   +2 more
wiley   +1 more source

SDG Reporting in Spanish Listed Companies: A Longitudinal Industry‐Level Analysis Using Natural Language Processing (2018–2023)

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa   +5 more
wiley   +1 more source

Generalized Chemical Model for Warm Dense Hydrogen: Ionization Potential Depression and Molecular Dissociation Shifts

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Warm dense matter (WDM) is a complex state, where quantum effects, thermal excitations, and strong interparticle correlations coexist. Understanding its microscopic composition and medium‐induced modifications of atomic and molecular properties is essential for planetary modeling, fusion research, and high‐energy‐density experiments.
L. T. Yerimbetova   +4 more
wiley   +1 more source

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