Results 91 to 100 of about 635,362 (294)
Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems [PDF]
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the ...
Ciuiu, Daniel
core
Advanced Science, EarlyView.Lai et al. find that m6A reader YTHDC1 is specifically overexpressed in triple‐negative breast cancer (TNBC) and orchestrates glucose and glutamine metabolism in an m6A‐dependent manner to confer robust adaptability to lethal metabolic stress. Leveraging YTHDC1 knockdown‐induced metabolic vulnerability, an ATF4 mRNA‐targeted nanotherapy is developed to
Zheng‐Hao Lai +12 more
wiley +1 more source
Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation. [PDF]
Appl Psychol Meas, 2023 Naveiras M, Cho SJ.
europepmc +1 more source
Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters
Agribusiness, EarlyView.ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen +2 more
wiley +1 more source
Comparing Hierarchical Approaches to Enhance Supervised Emotive Text Classification
Big Data and Cognitive ComputingThe performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,
Lowri Williams +2 more
doaj +1 more source
BANOVA: An R Package for Hierarchical Bayesian ANOVA
Journal of Statistical Software, 2017 In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researchers in the behavioral and social sciences in the analysis of experiments with within- and between-subjects factors.
Chen Dong, Michel Wedel
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Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor. [PDF]
Stat Methods Appt, 2022 Andreea L E +3 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
BMC Bioinformatics, 2006 Background The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently.
Wesselkamper Scott C +5 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source