Results 41 to 50 of about 36,386 (165)

Modeling and Bayesian Analysis of Time between the Breakdown of Electric Feeders

Modelling and Simulation in Engineering, 2022
The failure of electric feeders is a common problem in the summer season in Pakistan. In this article, one of the troubling aspects of the electric power system of Pakistan (Multan city) has been studied. The time lapses between the breakdown of electric
Kahkashan Ateeq, Saima Altaf, Muhammad Aslam   +2 more
doaj   +1 more source

Learning efficient representations of environmental priors in working memory.

PLoS Computational Biology, 2023
Experience shapes our expectations and helps us learn the structure of the environment. Inference models render such learning as a gradual refinement of the observer's estimate of the environmental prior.
Tahra L Eissa, Zachary P Kilpatrick
doaj   +1 more source

INFERENCES DRAWN ON COMMON SCALE PARAMETER OF TWO POPULATIONS USING RAINFALL DATA [PDF]

Proceedings on Engineering Sciences
This study investigates into the estimation of a common parameter across distinct probability distributions, including Weibull, Rayleigh, Gamma, and Lomax.
Vijay Kumar Lingutla, Nadiminti Nagamani , P. S. Brahmanandam   +2 more
doaj   +1 more source

Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate

Collabra: Psychology, 2018
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst there are fundamental theoretical and philosophical differences between both schools of thought, we argue that in two most common situations the practical ...
Casper J. Albers, Henk A. L. Kiers, Don van Ravenzwaaij   +2 more
doaj   +1 more source

Prior choice and data requirements of Bayesian multivariate hierarchical models fit to tag‐recovery data: The need for power analyses

Ecology and Evolution, 2023
Recent empirical studies have quantified correlation between survival and recovery by estimating these parameters as correlated random effects with hierarchical Bayesian multivariate models fit to tag‐recovery data.
Cody E. Deane, Lindsay G. Carlson, Curry J. Cunningham, Pat Doak, Knut Kielland, Greg A. Breed   +5 more
doaj   +1 more source

Extending an Anatomy-Aware Framework for Unsupervised Segmentation of Multiple Sclerosis Lesions

IEEE Access
Traditional unsupervised lesion segmentation methods focus on modeling the healthy brain distribution, detecting lesions as deviations from it.
Seyedeh-Parisa Zarei, Hamid Soltanian-Zadeh, Reshad Hosseini   +2 more
doaj   +1 more source

The positive foundation of the common prior assumption [PDF]

Games and Economic Behavior, 2001
Paper dated to Feb. 2001.
openaire   +4 more sources

Bayesian Sample size Determination for Longitudinal Studies with Continuous Response using Marginal Models

پژوهش‌های ریاضی, 2018
Introduction Longitudinal study designs are common in a lot of scientific researches, especially in medical, social and economic sciences. The reason is that longitudinal studies allow researchers to measure changes of each individual over time and often
Taban Baghfalaki
doaj  

Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data

Molecular Systems Biology
Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for understanding complex cellular regulation.
Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone   +7 more
doaj   +1 more source

A Bayesian Perspective on Accumulation in the Magnitude System

Scientific Reports, 2017
Several theoretical and empirical work posit the existence of a common magnitude system in the brain. Such a proposal implies that manipulating stimuli in one magnitude dimension (e.g.
Benoît Martin, Martin Wiener, Virginie van Wassenhove   +2 more
doaj   +1 more source