Results 61 to 70 of about 444,491 (252)
Mitigating measurement error in misspecified small area models
Canadian Journal of Statistics, EarlyView.Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
OPTIMAL INFORMATION-PROCESSING AND BAYES' THEOREM [PDF]
, 2019 An information-processing representation of statistical inference is formulated and utilized to derive an optimal information-processing rule. When particular input and output information measures and an information criterion functional are employed, the
Zellner, Arnold
core +1 more source
Clinical Pharmacology &Therapeutics, EarlyView.Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor +12 more
wiley +1 more source
Subthreshold Time‐Mode All‐Digital DLL With Built‐In Linearization
International Journal of Circuit Theory and Applications, EarlyView.This paper presents a subthreshold time‐mode all‐digital delay‐locked loop (DLL) for low‐frequency clock generation. The large and tunable delay of the DLL is obtained using a static inverter delay line whose supply voltage is in the vicinity of 100 mV and adjustable by varying supply voltage. Phase error is processed by a time‐mode proportional block (
Fei Yuan, Wenhao Wu, Yushi Zhou
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Bayes’ Theorem and Naive Bayes Classifier
, 2019 The goal of this article is to give a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from fundamental elements of probability theory, this text outlines all steps leading
Berrar, Daniel, Daniel Berrar
core +1 more source
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
MathematicsThe effective resolution of constrained multi-objective optimization problems (CMOPs) requires a delicate balance between maximizing objectives and satisfying constraints.
Shaoyu Zhao +3 more
doaj +1 more source
Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy
Laser &Photonics Reviews, EarlyView.A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová +3 more
wiley +1 more source