Results 31 to 40 of about 622,033 (280)

Model‐informed precision dosing of teicoplanin for the rapid achievement of the target area under the concentration‐time curve: A simulation study

Clinical and Translational Science, 2023
Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration‐time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian
Kazutaka Oda, Tomoyuki Yamada, Kazuaki Matsumoto, Yuki Hanai, Takashi Ueda, Masaru Samura, Akari Shigemi, Hirofumi Jono, Hideyuki Saito, Toshimi Kimura   +9 more
doaj   +1 more source

Bayesian Decision Theory and Stochastic Independence [PDF]

, 2020
As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect.
Mongin, Philippe
core  

Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems [PDF]

, 2015
A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply.
Bois, Julie, Brookes, Justin D., Chorus, Ingrid, Hamilton, David P., Hanson, Paul C., Hipsey, Matthew R., Kim, Bomchul, Qin, Boqiang, Rigosi, Anna, Rusak, James A., Sparber, Karin, Watkinson, Andrew J.   +11 more
core   +2 more sources

Bayes-Based Fault Discrimination in Wide Area Backup Protection

Advances in Electrical and Computer Engineering, 2012
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that ...
WANG, Z., ZHANG, J., ZHANG, Y.
doaj   +1 more source

A Normative Theory of Argument Strength

Informal Logic, 2008
In this article, we argue for the general importance of normative theories of argument strength. We also provide some evidence based on our recent work on the fallacies as to why Bayesian probability might, in fact, be able to supply such an account.
Ulrike Hahn, Mike Oaksford
doaj   +1 more source

Ship Target Identification via Bayesian-Transformer Neural Network

Journal of Marine Science and Engineering, 2022
Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,
Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong, Pingliang Xu   +5 more
doaj   +1 more source

Dynamic reliability prediction of bridge member based on Bayesian dynamic nonlinear model and monitored data

Advances in Mechanical Engineering, 2016
Bridge monitoring systems provide a huge number of stress data used for reliability prediction. In this article, the dynamic measure of structural stress over time is considered as a time series, and considering the limitation of the existing Bayesian ...
Xueping Fan, Yuefei Liu
doaj   +1 more source

Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning

MDM Policy & Practice, 2022
Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., with double-trees or net diagrams) leads to higher ...
Alexandra K. Kunzelmann, Karin Binder, Martin R. Fischer, Martin Reincke, Leah T. Braun, Ralf Schmidmaier   +5 more
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

A Bayesian ARMA Probability Density Estimator

Entropy
A Bayesian approach for constructing ARMA probability density estimators is proposed. Such estimators are ratios of trigonometric polynomials and have a number of advantages over Fourier series estimators, including parsimony and greater efficiency under
Jeffrey D. Hart
doaj   +1 more source