Uncertainty Characterization for Soil Cohesion in a Project Site in Nasiriyah Using Bayesian Methods [PDF]
E3S Web of Conferences, 2023 High uncertainties arias through the characterization of soil parameters because of the lack of data obtained from geotechnical reports. Reducing these uncertainties may improve the characteristic values of soil parameters.
Abd Al-Haleem Zainab, Shakir Ressol R.
doaj +1 more source
A system for determining maximum tolerated dose in clinical trial
Statistical Theory and Related Fields, 2021 Toxicity study, especially in determining the maximum tolerated dose (MTD) in phase I clinical trial, is an important step in developing new life-saving drugs.
Keying Ye +3 more
doaj +1 more source
Consciously Uncertain: A Bayesian Analysis of Preferences Formation
Games, 2022 We investigate experimentally whether players deliberately use irrelevant market cues to shape their evaluations of a traded item. We implement a repeated Vickrey median price selling auction of an unusual bad where players are informed on the market ...
Marco Stimolo +3 more
doaj +1 more source
Beyond ‘significance’: principles and practice of the Analysis of Credibility [PDF]
Royal Society Open Science, 2018 The inferential inadequacies of statistical significance testing are now widely recognized. There is, however, no consensus on how to move research into a ‘post p
Robert A. J. Matthews
doaj +1 more source
Bayesian Probabilistic Numerical Methods [PDF]
SIAM Review, 2019 The emergent field of probabilistic numerics has thus far lacked clear statistical principals. This paper establishes Bayesian probabilistic numerical methods as those which can be cast as solutions to certain inverse problems within the Bayesian framework.
Jon Cockayne +3 more
openaire +5 more sources
Semi-Automated Data Analysis for Ion-Selective Electrodes and Arrays Using the R Package ISEtools
Sensors, 2019 A new software package, ISEtools, is introduced for use within the popular open-source programming language R that allows Bayesian statistical data analysis techniques to be implemented in a straightforward manner.
Peter W. Dillingham +3 more
doaj +1 more source
Modeling Crude Oil Price Dynamics: Investigation of Jump and Volatility Using Stochastic Volatility Models (Case study: WTI crude oil prices in 2020 and 2021) [PDF]
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2020 Due to the strategic role of volatility and instability of crude oil prices and their effects on all countries of the world, different methods of modeling and forecasting are necessary.
mojtaba rostami +1 more
doaj +1 more source
Entropy, 2018 The 37th edition of MaxEnt was held in Brazil, hosting several distinguished researchers and students. The workshop offered four tutorials, nine invited talks, twenty four oral presentations and twenty seven poster presentations. All submissions received
Teresa C. M. Dias +3 more
doaj +1 more source
Optimization of non-periodic inspection of structural components by Bayesian approach
Mechanical Engineering Journal, 2018 This paper presents an advanced Bayesian analysis method to determine the appropriate non-periodic inspection intervals of fatigue-sensitive structures. The calculation procedure of the posterior distribution is improved compared to the previous methods.
Haoyu HUANG +3 more
doaj +1 more source
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases
Tsinghua Science and Technology, 2020 Many human diseases involve multiple genes in complex interactions. Large Genome-Wide Association Studies (GWASs) have been considered to hold promise for unraveling such interactions.
Guanying Wu, Xuan Guo, Baohua Xu
doaj +1 more source