Subgroup Identification via Multiple Change Point Detection: Methods and Applications
Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li +3 more
wiley +1 more source
Quantum Security of Nonce-Based Encryption. [PDF]
Mao S, Wang P, Jia Y, Liu G, Liu B.
europepmc +1 more source
On the Foundational Arguments of Sufficient Dimension Reduction
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley +1 more source
Abstract Accurate representation of closure relationships, such as subsurface storage‐discharge, is essential for hydrologic modeling at the hillslope scale, but remains challenging due to the nonlinear state‐dependent nature of soil hydraulic behavior.
Marcus N. Gomes Jr. +2 more
wiley +1 more source
A multi-authority attribute ring signature supporting dynamic policies and dual anonymity for zero-trust networks. [PDF]
Chen J, Zhou X, Fu W, Mao Y, Wang J.
europepmc +1 more source
We mapped non‐native reef fish "hotspots" across Hawaiʻi by combining species records with environmental conditions and nearshore access/infrastructure proxies to identify areas where multiple non‐native fishes are likely to co‐occur. We then projected hotspot patterns through 2100 under future ocean conditions, showing that Oʻahu and Hawaiʻi Island ...
Laura Gajdzik, Kisei R. Tanaka
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Closed-Set Heterogeneous Domain Adaptation for IoT Intrusion Detection: An Anchor-Based Benchmark Across Single- and Multi-Source Transfer. [PDF]
Chizari M +3 more
europepmc +1 more source
Adaptive Weighted Total Variation Penalty for Precise Change Point Detection
ABSTRACT Total variation (TV)‐based methods, such as the fused lasso, are standard for change point detection but are impaired by issues like local monotonicity. To address these limitations, this study comparatively analyses the fused lasso with two alternative methodologies.
Dong‐Young Lee +2 more
wiley +1 more source
Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Engelsberger A +2 more
europepmc +1 more source
How Do People Conceptualize Narcissism and Narcissistic Individuals?
ABSTRACT Introduction Although past decades have seen notable advances in the conceptualization and assessment of narcissism, scholarship examining lay conceptualizations of the construct remains limited. Method We report two studies utilizing bottom‐up, participant‐driven methodologies to examine public understandings of narcissism and narcissistic ...
Sarah Smith +2 more
wiley +1 more source

