Results 91 to 100 of about 97,330 (246)

Empirical likelihood for quantile regression models with response data missing at random

Open Mathematics, 2017
This paper studies quantile linear regression models with response data missing at random. A quantile empirical-likelihood-based method is proposed firstly to study a quantile linear regression model with response data missing at random.
Luo S., Pang Shuxia
doaj   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

Advanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Mapping 1 April SWE in the Western US Using Standardized Anomalies and Quantiles From SWE Reanalysis and In Situ Stations

Water Resources Research
Real‐time estimates of peak snow water equivalent (SWE) are critical to spring runoff forecasts in snow‐dominated basins, but large uncertainties remain due to the high spatial and temporal variability of interannual peak SWE.
Hannah Besso, Ross Mower, Justin M. Pflug, Jessica D. Lundquist   +3 more
doaj   +1 more source

Origin of subgenomes in the circumboreal, allopolyploid, carnivorous plant Drosera anglica

American Journal of Botany, EarlyView.
Abstract Premise The parentage of the widespread allopolyploid Drosera anglica, a member of the carnivorous sundew genus, remains uncertain despite over 100 years of morphological, cytological, and, more recently, molecular study. Methods Using transcriptomic and genomic data from 12 species of Drosera sect. Drosera, including four D.
Rebekah A. Mohn, Ya Yang
wiley   +1 more source

Epidemiology of Cancer‐Associated Venous Thromboembolism Across the United States

American Journal of Hematology, EarlyView.
ABSTRACT Prior epidemiological studies on cancer‐associated venous thromboembolism (VTE) were limited by homogenous patient populations. We leverage Cosmos, a collaborative dataset of Epic electronic health record systems, to conduct an updated evaluation of cancer‐associated VTE in the United States (US).
Barbara D. Lam, Justine Ryu, Omid Jafari, Rock Bum Kim, Shengling Ma, Mrinal Ranjan, Jun Y. Jiang, Ang Li   +7 more
wiley   +1 more source

Housing as Asset‐Based Welfare in Australia: An Investigation Through a Consumption Lens

Australian Journal of Social Issues, EarlyView.
ABSTRACT Housing asset‐based welfare has long been a key component of Australia's social policy. This resonates with a parallel literature identifying a trade‐off between homeownership and the size of nations' welfare states, wherein owner‐occupiers in smaller welfare states tend to come to rely on housing wealth to meet many of their welfare needs ...
Gavin A. Wood, Christopher Phelps, Silvia Salazar, Rachel Ong ViforJ   +3 more
wiley   +1 more source

Quantile ratio regression

Statistics and Computing
AbstractWe introduce quantile ratio regression. Our proposed model assumes that the ratio of two arbitrary quantiles of a continuous response distribution is a function of a linear predictor. Thanks to basic quantile properties, estimation can be carried out on the scale of either the response or the link function.
Alessio Farcomeni, Marco Geraci
openaire   +4 more sources

Serum p‐tau217 Is a Prognostic Indicator of Cognitive Impairment in Idiopathic REM Sleep Behavior Disorder

Annals of Neurology, EarlyView.
Objective Assess the performance of serum phosphorylated tau 217 (p‐tau217) and neurofilament light chain (NfL) in predicting risk of cognitive impairment or phenoconversion to dementia in individuals with iRBD. Methods We measured serum p‐tau217 and NfL levels by electrochemiluminescence across 4 polysomnographically confirmed iRBD cohorts (n = 300 ...
Shijun Yan, Anis Sahoo, Tanja Zerenner, Kenneth Marek, Michael Sommerauer, Wolfgang Oertel, Michele T. Hu, George K. Tofaris   +7 more
wiley   +1 more source