Results 41 to 50 of about 494,632 (168)
SensorsPassive Wi-Fi localization for critical-infrastructure security operations centers (SOCs) faces three interconnected limitations. First, many existing methods produce single-point coordinate estimates without calibrated uncertainty, making them ...
Dmytro Prokopovych-Tkachenko +5 more
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Probabilistic runoff forecasting based on coupled multi-model posterior distributions
Shui kexue jinzhanThe probabilistic forecast performance of a single runoff model is highly dependent on its deterministic forecast accuracy，while traditional ensemble forecasting methods generally fail to account for the constraints imposed by initial hydrological states.
Zhen CUI +5 more
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Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690
BMC Medical Research Methodology, 2012 Background E1684 was the pivotal adjuvant melanoma trial for establishment of high-dose interferon (IFN) as effective therapy of high-risk melanoma patients. E1690 was an intriguing effort to corroborate E1684, and the differences between the outcomes of
Ibrahim Joseph G +2 more
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Posterior consistency for Gaussian process approximations of Bayesian posterior distributions
Mathematics of Computation, 2017 We study the use of Gaussian process emulators to approximate the parameter-to-observation map or the negative log-likelihood in Bayesian inverse problems. We prove error bounds on the Hellinger distance between the true posterior distribution and various approximations based on the Gaussian process emulator.
Andrew M. Stuart, Aretha L. Teckentrup
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An Asymptotic Expansion for Posterior Distributions
The Annals of Mathematical Statistics, 1967 Let $\phi$ be a real valued parameter for the exponential family having densities of the form \begin{equation*}\tag{0.1}p_\phi(x) = C(\phi) \exp \lbrack\phi R(x)\rbrack\end{equation*} with respect to a $\sigma$-finite measure $\mu$ over a Euclidean sample space. Now assume that the parameter $\phi$ has a prior density $\rho(\phi)$.
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On the Distributions of Bootstrap Support and Posterior Distributions for a Star Tree [PDF]
Systematic Biology, 2008 Several authors have recently noted that when data are generated from a star topology, posterior probabilities can often be very large, even with arbitrarily large sequence lengths. This is counter to intuition, which suggests convergence to the limit of equal probability for each topology.
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THE UNINFORMATIVE PRIOR OF JEFFREYS’ DISTRIBUTION IN BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION
BarekengWhen using the Bayesian method for estimating parameters in a geographically weighted regression model, the choice of the prior distribution directly impacts the posterior distribution.
Fachri Faisal +3 more
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INFERENSI STATISTIK DARI DISTRIBUSI NORMAL DENGAN METODE BAYES UNTUK NON-INFORMATIF PRIOR
Media Statistika, 2012 One of the method that can be used in statistical inference is Bayesian method. It combine sample distribution and prior distribution to get a posterior distribution. In this paper, sample distribution used is univariate normal distribution.
Alan Prahutama +2 more
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Bayesian Analysis of the Discrete Two-Parameter Bathtub Hazard Distribution
Journal of Mathematical Sciences and Modelling, 2019 A new discrete two-parameter bathtub hazard distribution is proposed by Sarhan \cite{Sarhan-2017}. This paper uses Bayes method to estimate the two unknown parameters and the reliability measures of this distribution.
Ammar Sarhan
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Injectate distribution patterns in posterior infrazygomatic and transoral approaches to the pterygopalatine fossa [PDF]
Korean Journal of AnesthesiologyBackground Injectate distribution patterns in the pterygopalatine fossa may differ based on the drug administration approach used. This study primarily aimed to assess and compare injectate distribution following the posterior infrazygomatic and ...
Anže Jerman +4 more
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