427 papers
This study proposes and validates a feedback-gated ordinary differential equation model that utilizes early like-save and comment-share interactions to accurately predict the long-term diffusion trajectory and ignition potential of recommendation-driven short videos, thereby offering creators an interpretable tool for strategic decision-making.
This study successfully culturally adapted and psychometrically validated the Household Water Insecurity Experiences (HWISE) scale for Sidaamu Afoo-speaking women in Ethiopia, demonstrating its unidimensional structure, high reliability, and strong validity through Horn's Parallel Analysis and other statistical methods.
This paper introduces Copula Generalized Fiducial Inference (CGFI), a likelihood-free framework that constructs confidence distributions for estimating-equation models by stochastically inverting empirical equations via a Gaussian copula, offering accurate uncertainty quantification without requiring a full likelihood specification or prior distribution.
This study utilizes historical data from 1960 to 2024 and compares six time-series models to project Somalia's urban population, identifying TBATS and ARIMA as robust forecasting tools that predict the urban population will more than double to 22.2 million by 2050, thereby underscoring the urgent need for proactive urban planning.
This study reveals that in interdisciplinary research, knowledge integration and structural mediation are distinct dimensions with divergent impacts on citation success, as the former does not guarantee a bridging position in citation networks and correlates negatively with citations, while the latter positively predicts citation counts, yet both contribute to cross-field knowledge diffusion.
This paper demonstrates how the "garden of forking paths" creates invisible uncertainty in secondary analyses of international large-scale assessments like TALIS 2018 by conducting a multiverse analysis that reveals how nearly half a million plausible analytic pathways can yield widely varying results, thereby calling for more robust analytical practices.
This paper introduces a family of parsimonious mixture models for matrix variate skewed distributions that utilize variance-mean mixtures of normal distributions with parameter constraints to reduce complexity and enable effective clustering of high-dimensional data using an Expectation-Conditional Maximization algorithm.
This paper introduces a fast and stable product-limit style EM algorithm combined with a modified iterative convex minorant step to efficiently compute the non-parametric maximum likelihood estimator for survival functions using left-truncated and interval-censored data, demonstrating superior convergence and scalability over existing methods.
This paper proposes a robust permutation test for a modified Spearman rank correlation coefficient that utilizes univariate martingale residuals to effectively handle right-censored data, ensuring asymptotically correct Type I error control and reducing to the classical test when censoring is absent.
This paper demonstrates that scalar baseline-to-endpoint contrasts in chronic longitudinal trials often fail to uniquely capture multidomain stabilization due to non-injective mappings, arguing for the adoption of trajectory-based estimands to better align with complex clinical objectives.