Results 141 to 150 of about 157,395 (292)

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source

Chemical identification using Bayesian model selection [PDF]

, 2002
Remote detection and identification of chemicals in a scene is a challenging problem. We introduce an approach that uses some of the image's pixels to establish the background characteristics while other pixels represent the target for which we seek to ...
Fry, H. A. (Herbert A.), Burr, Tom, Sander, E. (Eric), McVey, B. D. (Brian D.)   +3 more
core  

Using Bayesian Model Selection to Advise Neutron Reflectometry Analysis from Langmuir-Blodgett Monolayers

, 2019
The analysis of neutron and X-ray reflectometry data is important for the study of interfacial soft matter structures. However, there is still substantial discussion regarding the analytical modelsthat should be used to rationalise relflectometry data ...
Andrew, McCluskey, Tom, Arnold, Tim, Snow, Joshaniel F. K., Cooper   +3 more
core   +1 more source

Bayesian active learning with model selection for spectral experiments

Scientific Reports
Active learning is a common approach to improve the efficiency of spectral experiments. Model selection from the candidates and parameter estimation are often required in the analysis of spectral experiments.
Tomohiro Nabika, Kenji Nagata, Masaichiro Mizumaki, Shun Katakami, Masato Okada   +4 more
doaj   +1 more source

Prior Expectations Bias Confidence Judgments Through Parietal Alpha‐Band Modulation

Advanced Science, EarlyView.
ABSTRACT Humans possess the metacognitive ability to estimate the likely accuracy of their own decisions through confidence judgments. Yet, whether prior information shapes confidence and the neural mechanisms mediating such influence, remain to be determined.
Luca Tarasi, Anna Pasini, Domenico Romanazzi, Margherita Covelli, Vincenzo Romei   +4 more
wiley   +1 more source

Objective Bayesian Model Selection

Frequentist and Bayesian approaches to statistics have long been seen as incompatible, but recent work has been done to try and unify them (Bayarri and Berger, 2004; Efron, 2005).
Lugrin, Thomas
core  

Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection. [PDF]

Psychol Methods, 2020
Williams DR, Rast P, Pericchi LR, Mulder J.   +3 more
europepmc   +1 more source

Comparative Oligo‐FISH Mapping Illuminates Chromosomal Evolution Among Rutaceae Species Diverged Over 50 Million Years

Advanced Science, EarlyView.
Oligonucleotide‐based fluorescence in situ hybridization probes were developed in the model citrus species Citrus maxima. These probes were applied to comparative karyotyping across 14 species in the Rutaceae family. This analysis revealed chromosomal evolution in lineages that diverged from Citrus nearly 52 million years ago.
Li He, Hainan Zhao, Xiaoxue Zeng, Zujun Yang, Wenting Li, Guoyan Zhang, Guangrong Li, Jian He, Bin Guan, Jiming Jiang   +9 more
wiley   +1 more source

Bayesian Model Selection

, 2018
Práce má za cíl představení bayesovské statistiky a bayesovského výběru modelu. K tomuto cíli přistupuje přes seznámení se s tvorbou statistických modelů pro lineární a logistickou regresi.
Poliak Kajetán
core  

Bayesian model selection results (social interactive condition): Posterior model probability or and the model exceedance probability or .

, 2014
Bayesian model selection results (social interactive condition): Posterior model probability or and the model exceedance probability or .
Andreea O. Diaconescu (625717), Ekaterina I. Lomakina (216288), Jean Daunizeau (195606), Christoph Mathys (625718), Lilian A. E. Weber (625719), Ernst Fehr (430950), Lars Kasper (625720), Klaas E. Stephan (216293)   +7 more
core   +1 more source