Results 41 to 50 of about 37,630 (219)

Enhancing Bayesian Approaches in the Cognitive and Neural Sciences via Complex Dynamical Systems Theory

Dynamics, 2023
In the cognitive and neural sciences, Bayesianism refers to a collection of concepts and methods stemming from various implementations of Bayes’ theorem, which is a formal way to calculate the conditional probability of a hypothesis being true based on ...
Luis H. Favela, Mary Jean Amon
doaj   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Homophily‐adjusted social influence estimation

Canadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

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, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

DIAGNOSING PESTS AND DISEASES ON PINEAPPLE USING THE BAYES THEOREM

Russian Journal of Agricultural and Socio-Economic Sciences, 2023
Pineapple plants grow in tropical climates and have long been cultivated. Pineapple plants can be harvested 18-24 months after planting. Pineapple contains vitamins A and C and calcium, phosphorus, magnesium, iron, sodium, potassium, dextrose, sucrose ...
Wahyuni M.S., Marbun B.P.T., Riansah W.
doaj   +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, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Empirical Model of Post‐Earthquake Restoration Time for Building Components Based on Data From the 2022 Fukushima‐ken Oki Earthquake in Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino, Takeshi Morii, Rie Okazawa, Hiroaki Notake, Aya Hada, Takahiro Matsui   +5 more
wiley   +1 more source

A Bayesian Analysis of Accidental Dwelling Fire Incidence, Injury, and Fatality in the Greater Manchester Area

Fire and Materials, EarlyView.
ABSTRACT The relationship between accidental dwelling fire incidence and fire injury and fatality was examined using a Bayesian model to estimate the probability of a fire injury or fatality resulting from an accidental dwelling fire incidence under different circumstances of fire incidence (type of accidental dwelling fire, dwelling occupancy type ...
M. Taylor, E. Dean, R. Lyon, V. Kwasnica, D. Reilly, H. Francis   +5 more
wiley   +1 more source

Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization

Mathematics
The effective resolution of constrained multi-objective optimization problems (CMOPs) requires a delicate balance between maximizing objectives and satisfying constraints.
Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi   +3 more
doaj   +1 more source