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Parametric Quantile Beta Regression Model
International Statistical ReviewSummaryIn this paper, we develop a fully parametric quantile regression model based on the generalised three‐parameter beta (GB3) distribution. Beta regression models are primarily used to model rates and proportions. However, these models are usually specified in terms of a conditional mean.
Marcelo Bourguignon +2 more
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Model systems for beta-hairpins and beta-sheets.
Current opinion in structural biology, 2006beta-Sheets and alpha-helices are the two principal secondary structures in proteins. However, our understanding of beta-sheet structure lags behind that of alpha-helices, largely because, until recently, there was no model system to study the beta-sheet secondary structure in isolation.
Robert M, Hughes, Marcey L, Waters
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Rejection methods for modelling of beta-distribution
Monte Carlo Methods and Applications, 1998The paper investigates algorithms of the rejection method for modelling the random value with respect to the density of beta-distribution. Section 1 presents the classical majorant rejection method and reduces this majorant for the beta-distribution. Section 2 considers the Johnk method for modelling the beta-distribution and shows that the cost of the
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Bidirectional Beta-Tuned Diffusion Model
IEEE Transactions on Pattern Analysis and Machine IntelligenceDiffusion models have gained significant attention in the field of generative modeling due to their capability to produce high-quality samples. However, recent studies show that applying a uniform treatment to all distributions during the training of diffusion models is sub-optimal.
Tianyi Zheng +6 more
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Developing a Liu-type estimator in beta regression model
Concurrency Computation Practice and Experience, 2022Mohamed Abonazel, Zakariya Yahya Algamal
exaly
Ensemble modeling of [beta]-sheet proteins.
2011Our ability to characterize protein structure and dynamics is vastly outpaced by the speed of modern genetic sequencing, creating a growing divide between our knowledge of biological sequence and structure. Structural modeling algorithms offer the hope to bridge this gap through computational exploration of the sequence determinants of structure ...
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Hybrid Beta-KDE Model for Solar Irradiance Probability Density Estimation
IEEE Transactions on Sustainable Energy, 2020Samuel Feng +2 more
exaly