stat papers | Gist.Science

Geospatial approaches to sampling frame development for household surveys: A systematic review of methods, limitations and future directions

This systematic review evaluates how geospatial technologies are transforming household survey sampling frames in low- and middle-income countries to address outdated census limitations, identifying four key methodological approaches while highlighting persistent challenges in validation and implementation that require further comparative evidence and standardized protocols.

Nazim Gashi, Andy Tatem, Sarchil Qader2026-07-27

📄 other

A Hierarchical Bayesian Analysis of Memory Load Effects on Visual Working Memory Precision

This study employs hierarchical Bayesian modeling on a public visual working memory dataset to demonstrate that memory precision decreases systematically with increased load, revealing substantial individual variability and showing that a nonlinear model outperforms linear alternatives in capturing these effects.

Erfan Jaripour2026-07-27

📄 other

Recovering Incomplete Clustered Binary Data in Longitudinal Electronic Health Records Using Multiple Imputation

This paper introduces and validates the Clustered Logistic Factor with Random Effects (CLF-RE) framework as a computationally scalable multiple imputation method that effectively recovers incomplete, high-dimensional longitudinal binary data in electronic health records, significantly reducing bias in epidemiologic estimates compared to existing approaches.

Pinyan Liu, John Rong Hao Tay, Gustavo G. Nascimento, Marco A. Peres2026-07-25

📄 other

Inferring First and Second Use Lifespan Indicators for Household Appliances from Peruvian Survey Data

This study utilizes an EM–Weibull mixture model applied to Peruvian National Household Survey data to estimate the first and second-use lifespans of 12 household appliance categories, revealing distinct ownership diffusion patterns and providing the first nationally representative assessment of appliance longevity and reuse in Peru from 2008 to 2024.

Pedro Chumpitaz-Flores, Marco Gusukuma2026-07-24

📄 other

A Heuristically Penalized Framework for Asymptotic Ridge Estimation

This paper proposes a novel "asymptotic ridge" framework that extends classical ridge regression by introducing a heuristic combined algorithm based on an asymptotic elastic-net penalty function, supported by two new theorems, to achieve improved regularization and lower mean square errors through dynamic hyperparameters in high-dimensional datasets.

Mostafa Behzadi, Mahdi Roozbeh2026-07-24

📄 other

Statistical Correspondence with an 8.314-Meter Interval in Global Land Systems: Observations from 14 Independent Datasets

This hypothesis-generating study reports a statistically significant correspondence with an 8.314-meter interval across 14 independent global land systems, suggesting a potential unknown origin or transmission mechanism despite the inability to establish causal relationships.

Tatsuo Kou2026-07-24

📊 statistics

Hybrid Neutrosophic Regression ANOVA (HNRA): An Uncertainty-Aware Statistical Inference Framework Under Measurement Imprecision

This paper introduces Hybrid Neutrosophic Regression ANOVA (HNRA), a novel statistical framework that models measurement imprecision as neutrosophic intervals to provide a bounded, uncertainty-aware decomposition of sums of squares and a formally guaranteed F-statistic, thereby extending classical regression ANOVA to scenarios with instrument calibration errors and biological variability without requiring prior distributional assumptions.

Jaida Najihah Jamidin, Zahari Md Ro, Sayang Mohd Deni, Siti Meriam Zahari2026-07-23

📊 statistics

Analysis of Italian mobility patterns using institutional and networked data

This paper evaluates the utility of web-scraped BlaBlaCar data as a complementary source to traditional ISTAT census statistics for analyzing Italian mobility patterns, demonstrating how combining institutional and networked data with gravity models can capture both routine commuting and voluntary long-distance travel trends.

Mauro Mazzei, Teresa Bartolomei2026-07-23

📊 statistics

A Mathematical Model of Swine Flu (H1N1) Transmission with Imperfect Behavioral Vaccination Dynamics: A Case Study of Japan

This study proposes a novel eight-compartment deterministic model incorporating time-dependent behavioral vaccination dynamics to analyze H1N1 transmission in Japan, demonstrating that the basic reproduction number governs disease stability and that effective mitigation relies on optimizing vaccination coverage, quarantine measures, and reducing perceived vaccination costs.

Md. Zakir Hosen, Akhil Kumar Srivastav, Jun Tanimoto2026-07-21

📊 statistics

Value of Information under Imprecise Probabilities

This paper proposes a generalized Value of Information (IP-VOI) framework that extends conventional analysis to settings with imprecise probabilities by evaluating decision stability across an admissible set of probability measures, thereby distinguishing robust research conclusions from those dependent on specific modeling assumptions.

Rowan Iskandar2026-07-20

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