An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency
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DOI: 10.1007/s11708-021-0731-6
Abstract: An integrated and systematic database of sooting tendency with more than 190 kinds of fuels was obtained through a series of experimental investigations. The laser-induced incandescence (LII) method was used to acquire the 2D distribution… read more here.
Keywords: bayesian multiple; surrogate; sooting tendency; bmkl model ... See more keywords
Objective Bayesian multiple comparisons for normal variances
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DOI: 10.1080/00949655.2016.1235168
Abstract: ABSTRAC This paper considers the multiple comparisons problem for normal variances. We propose a solution based on a Bayesian model selection procedure to this problem in which no subjective input is considered. We construct the… read more here.
Keywords: multiple comparisons; comparisons normal; normal variances; bayesian multiple ... See more keywords
A classifier for multi-dimensional datasets based on Bayesian multiple kernel grouping learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1612395
Abstract: ABSTRACT This paper proposes an algorithm for the classification of multi-dimensional datasets based on the conjugate Bayesian Multiple Kernel Grouping Learning (BMKGL). Using conjugate Bayesian framework improves the computation efficiency. Multiple kernels instead of a… read more here.
Keywords: datasets based; kernel; dimensional datasets; multiple kernel ... See more keywords
Non-marginal decisions: A novel Bayesian multiple testing procedure
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DOI: 10.1214/19-ejs1535
Abstract: In this paper we consider the problem of multiple testing when the hypotheses are dependent. In most of the existing literature, either Bayesian or non-Bayesian, the decision rules mainly focus on the validity of the… read more here.
Keywords: bayesian multiple; testing procedure; novel bayesian; multiple ... See more keywords