Relative tooth size, Bayesian inference, and Homo naledi.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of physical anthropology"
DOI: 10.1002/ajpa.24353
Abstract: OBJECTIVES Size-corrected tooth crown measurements were used to estimate phenetic affinities among Homo naledi (~335-236 ka) and 11 other Plio-Pleistocene and recent species. To assess further their efficacy, and identify dental evolutionary trends, the data were… read more here.
Keywords: bayesian inference; tooth size; size; relative tooth ... See more keywords
Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion
Sign Up to like & getrecommendations! Published in 2021 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6758
Abstract: Correspondence *Corresponding author. Email: [email protected] Summary Uncertainties associated with spatially varying parameters are modeled through random fields discretized into a finite number of random variables. Standard discretization methods, such as the Karhunen–Loève expansion, use series… read more here.
Keywords: bayesian inference; karhunen expansion; subset simulation; inference ... See more keywords
Bayesian inference for asymptomatic COVID‐19 infection rates
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DOI: 10.1002/sim.9408
Abstract: To strengthen inferences meta‐analyses are commonly used to summarize information from a set of independent studies. In some cases, though, the data may not satisfy the assumptions underlying the meta‐analysis. Using three Bayesian methods that… read more here.
Keywords: infection; covid; bayesian inference; inference asymptomatic ... See more keywords
Model‐based Bayesian inference under computer assisted balance‐improving designs
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DOI: 10.1002/sim.9508
Abstract: To improve covariate balance over a complete randomization, a number of methods have been proposed recently to utilize modern computational capabilities to find allocations with balance in observed covariates. Asymptotic inference on treatment effects based… read more here.
Keywords: balance; bayesian inference; based bayesian; inference ... See more keywords
Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures
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DOI: 10.1007/s00500-018-3244-4
Abstract: The goal of constructing models from examples has been approached from different perspectives. Statistical methods have been widely used and proved effective in generating accurate models. Finite Gaussian mixture models have been widely used to… read more here.
Keywords: bayesian inference; inverted dirichlet; reversible jump; generalized inverted ... See more keywords
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
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DOI: 10.1007/s11222-020-09980-4
Abstract: The Hawkes process and its extensions effectively model self-excitatory phenomena including earthquakes, viral pandemics, financial transactions, neural spike trains and the spread of memes through social networks. The usefulness of these stochastic process models within… read more here.
Keywords: bayesian inference; stochastic processes; inference self; scalable bayesian ... See more keywords
Approximate Bayesian inference for mixture cure models
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DOI: 10.1007/s11749-019-00679-x
Abstract: Cure models in survival analysis deal with populations in which a part of the individuals cannot experience the event of interest. Mixture cure models consider the target population as a mixture of susceptible and non-susceptible… read more here.
Keywords: bayesian inference; mixture cure; cure; mixture ... See more keywords
A Bayesian inference to estimate change point for traffic intensity in M/M/1 queueing model
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DOI: 10.1007/s12597-021-00535-3
Abstract: The paper is concerned with the problem of change point for the inter arrival time distribution for the M / M /1 queueing system by considering the number of customers present in the system. Bayesian… read more here.
Keywords: change; inference estimate; bayesian inference; traffic ... See more keywords
The added value of Bayesian inference for estimating biotransformation rates of organic contaminants in aquatic invertebrates.
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DOI: 10.1016/j.aquatox.2021.105811
Abstract: Toxicokinetic (TK) models refer to the process of contaminant bioaccumulation as a balance between rate of uptake from different sources (e.g., water or food), and rate of elimination via different processes such as excretion, growth… read more here.
Keywords: bayesian inference; biotransformation; added value; rate ... See more keywords
Extended virtual in-situ calibration method in building systems using Bayesian inference
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DOI: 10.1016/j.autcon.2016.10.008
Abstract: Abstract Measurements from sensors and knowledge of key parameters are of great importance in the operation of modern building systems. Accurate and reliable information as these serves as the base for ensuring the desired performance… read more here.
Keywords: bayesian inference; virtual situ; calibration method; situ calibration ... See more keywords
Computational urban flow predictions with Bayesian inference: Validation with field data
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DOI: 10.1016/j.buildenv.2019.02.028
Abstract: Abstract Urban areas are projected to expand at a rapid pace. In the context of supporting sustainable design of cities and buildings, computational fluid dynamics (CFD) can be used to provide detailed information on the… read more here.
Keywords: inference; field; inference method; validation ... See more keywords