6 papers
Two Conformal Constructions for Adaptive Within-Document AI-Text Screening
Marco Mandap, Jerahmeel Hipolito, Arcel Galvez +4
We study false-alert control when screening for text generated by artificial intelligence (AI). The screening procedure selects document prefixes and detectors from observed eviden…
Statistical Foundations for a Google Play User-Review Sentiment Index: Signal Fusion, Shrinkage, Distributional Validation, and Dynamic Smoothing
Marco Mandap
The decision problem is whether valence among the users who write reviews of an app has changed enough to warrant investigation of a release, outage, or support issue. We propose a…
Weak Convergence and Gaussian Limits for a General-Dimensional Origin-Invariant Cramér--von Mises Statistic
Marco Mandap
We introduce a general-dimensional origin-invariant Cramér--von Mises statistic for testing complete spatial randomness, defined by averaging corner-oriented empirical-…
Multivariate lattice deformation: A spatially explicit framework for assessing crop rotation impacts on soil nutrient dynamics
Marco Mandap
Crop rotation impacts on soil nutrients are typically assessed using field-averaged or single-nutrient analyses that ignore spatial heterogeneity and multivariate interactions. We…
Detecting Distributional Differences in Spatially Correlated Multivariate Data via Kernel-Smoothed Rank-Based Empirical Copula Tests
Marco Mandap
Comparing multivariate yield quality distributions across spatially referenced agricultural fields is complicated by two pervasive features: non-normality and spatial autocorrelati…
A Rank-Based Test for Comparing Multiple Fields' Yield Quality Distributions Under Spatial Dependence
Marco Mandap
Comparing yield quality distributions across multiple agricultural fields is fundamental for evaluating management practices, yet it is complicated by two pervasive data characteri…