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427 papers

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Conflict inherits the frame: bin geometry and BPA construction in evidential fusion of quantised continuous evidence

This paper demonstrates that in Dempster-Shafer evidential fusion of quantized continuous data, the geometry of the binning frame artificially confounds conflict measures with evidence position, leading to a proposed excess-conflict statistic to correct this bias while revealing that standard combination rules often reduce to Bayesian products with negligible efficacy differences in predicting software vulnerability exploitation.

Elena Udrescu, Alexandru Udrescu, Ana-Maria Suduc, Mihai Bîzoi2026-09-07
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From reference materials to examination results: a specification-anchored framework for version-defined qualitative properties

This paper proposes a specification-anchored framework that extends ISO 33406 to address version-dependent variability in complex molecular examinations by defining minimum reporting requirements, distinguishing analytical layers, and establishing falsifiable propositions to ensure the traceability and comparability of examination results.

Guigao Lin2026-09-07
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A Gaussian mixture model for discovering latent group structures in classification problems with multiple classes

This paper proposes a novel Grouped Gaussian Mixture Model (GGM) with an efficient Expectation-Maximization algorithm to discover interpretable latent group structures among multiple categories in a fully data-driven manner, demonstrating superior performance over existing methods in both simulations and e-commerce applications.

Hong Chang, Xuetong Li, Ke Xu, Hansheng Wang2026-09-07
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Evaluating missing-data workflows under hospital-structured missingness: a simulation-calibrated study in eICU and MIMIC-IV

This study demonstrates that hospital-structured missingness in multicenter electronic health records significantly biases mortality association estimates and undermines confidence interval coverage across conventional missing-data workflows, highlighting the critical need for cluster-level diagnostics, method-specific performance comparisons, and explicit missing-not-at-random sensitivity analyses.

Jiancheng Zhang, Jianying Dai, Qingjiang Lyu2026-09-04
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Network-Adjusted Empirical Bayes Estimation of Age-Specific Adult Mortality from DHS Sibling Survival Histories: Evidence from Nigeria

This paper introduces a network-adjusted empirical Bayes framework to correct visibility bias and sampling variability in Nigerian sibling survival histories, revealing that adult mortality declined between 2018 and 2024 and is significantly lower than previously estimated by conventional methods and international reference series.

Shorful Alam, Nazmul Haque, Abdul Mazed, Md. Sabbir Ahmed Mayen, Md. Abu Kowser, Mahadie Hassan2026-09-04
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Psychometric inference without refitting across heterogeneous instruments and populations

This paper introduces METER, a simulation-trained psychometric model that successfully infers person traits across diverse unseen instruments and populations without re-fitting, achieving high correlation with specialist estimates in real-world data while demonstrating limitations in handling specific structural complexities and establishing absolute validity.

Alvin Kuowei Tay, Jack Chen2026-09-04
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Variance-Calibrated Adjusted Two-Sample Blockwise Empirical Likelihood for the Difference of Means

This paper develops a variance-calibrated adjusted blockwise empirical likelihood method for comparing the means of two independent weakly dependent time series, demonstrating that it effectively corrects for variance mismatches and convex-hull restrictions to restore nominal coverage, particularly when using a fixed number of increasingly long blocks where the statistic follows a non-Wilks Gaussian reference law.

Reinis Alksnis, Janis Valeinis2026-09-04
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A Log-Gaussian Cox process framework for zone-free probabilistic seismic hazard assessment in Sumatra

This paper proposes a zone-free probabilistic seismic hazard assessment framework for Sumatra that integrates a Log-Gaussian Cox process with tectonic covariates and an ETAS aftershock model, demonstrating that this approach yields significantly higher design accelerations than current Indonesian codes by eliminating arbitrary source zone boundaries.

Irwan Endrayanto Aluicius, Nanang Susyanto, Wiwit Suryanto, Dwi Ertiningsih, Fajar Adi-Kusumo2026-09-03