Results 71 to 80 of about 2,103,105 (303)
Bayesian Inference for the Reliability Parameter under the Inverse Rayleigh Distribution
Cumhuriyet Science JournalThe parameter estimation problem of the probability for the inverse Rayleigh distribution is the main focus of this study. The maximum likelihood and Bayesian estimation methods are taken into consideration.
Asuman Yılmaz
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A machine learning approach to Bayesian parameter estimation
npj Quantum Information, 2021 Bayesian estimation is a powerful theoretical paradigm for the operation of the approach to parameter estimation. However, the Bayesian method for statistical inference generally suffers from demanding calibration requirements that have so far restricted
Samuel Nolan +2 more
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Nonparametric Bayesian hazard rate models based on penalized splines [PDF]
, 2003 Extensions of the traditional Cox proportional hazard model, concerning the following features are often desirable in applications: Simultaneous nonparametric estimation of baseline hazard and usual fixed covariate effects, modelling and detection of ...
Fahrmeir, Ludwig, Hennerfeind, Andrea
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Arthritis Care &Research, EarlyView.Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio +28 more
wiley +1 more source
Bayesian estimation for the multifractality parameter [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 Multifractal analysis has matured into a widely used signal and image processing tool. Due to the statistical nature of multifractal processes (strongly non-Gaussian and intricate dependence) the accurate estimation of multifractal parameters is very challenging in situations where the sample size is small (notably including a range of biomedical ...
Herwig Wendt +3 more
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Arthritis Care &Research, Accepted Article.Objectives This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced >1 flare during a 6‐month prospective observational study were included ...
Sarah Stewart +12 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Mathematics, 2020 Using progressive first-failure censored samples, we mainly study the inferences of the unknown parameters and the reliability and failure functions of the Inverted Exponentiated Half-Logistic distribution.
Fengshi Zhang, Wenhao Gui
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Bayesian Markov Blanket Estimation
CoRR, 2015 16 pages, 5 ...
Kaufmann Dinu +5 more
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The Effect of Non-tightness on Bayesian Estimation of PCFGs [PDF]
, 2013 Probabilistic context-free grammars have the unusual property of not always defining tight distributions (i.e., the sum of the ``probabilities'' of the trees the grammar generates can be less than one). This paper reviews how this non-tightness can arise
Johnson, M., Cohen, S. B.
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