Results 91 to 100 of about 157,395 (292)
A Bayesian Approach to the Vertical Structure of the Disk of the Milky Way
The Open Journal of Astrophysics, 2020 This work investigates the vertical profile of the stars in the disk of the Milky Way. The models investigated are of the form sech2/n(nz/(2H)) where, setting α = 2/n, the three functions of the sequence α= 0, 1, 2 correspond to exponential, sech, and ...
Phillip S. Dobbie , Stephen J. Warren
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk +7 more
wiley +1 more source
Bayesian Model Selection for Harmonic Labelling [PDF]
, 2009 We present a simple model based on Dirichlet distributions for pitch-class proportions within chords, motivated by the task of generating ‘lead sheets’ (sequences of chord labels) from symbolic musical data. Using this chord model, we demonstrate the use
Rhodes, Christophe +5 more
core +1 more source
Statistical inference for nonignorable missing-data problems: a selective review
Statistical Theory and Related Fields, 2018 Nonignorable missing data are frequently encountered in various settings, such as economics, sociology and biomedicine. We review statistical inference for nonignorable missing-data problems, including estimation, influence analysis and model selection ...
Niansheng Tang, Yuanyuan Ju
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective Youth who experience a sport‐related knee injury have elevated odds of overweight or obesity in 3‐10 years, compounding their risk for post‐traumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth in the 2‐year period ...
Justin M. Losciale +6 more
wiley +1 more source
Applications of Bayesian model selection to cosmological parameters [PDF]
, 2007 Bayesian model selection is a tool for deciding whether the introduction of a new parameter is warranted by the data. I argue that the usual sampling statistic significance tests for a null hypothesis can be misleading, since they do not take into ...
Trotta, R +3 more
core +1 more source
Minimum uncertainty as Bayesian network model selection principle
BMC BioinformaticsBackground Bayesian Network (BN) modeling is a prominent methodology in computational systems biology. However, the incommensurability of datasets frequently encountered in life science domains gives rise to contextual dependence and numerical ...
Grigoriy Gogoshin, Andrei S. Rodin
doaj +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
, 2014 Results of Bayesian model selection (control condition): Posterior model probability or and model exceedance probabilities .
Andreea O. Diaconescu (625717) +7 more
core +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source