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  2. Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Gibbs_sampling

    Gibbs sampling is named after the physicist Josiah Willard Gibbs, in reference to an analogy between the sampling algorithm and statistical physics.The algorithm was described by brothers Stuart and Donald Geman in 1984, some eight decades after the death of Gibbs, [1] and became popularized in the statistics community for calculating marginal probability distribution, especially the posterior ...

  3. Bayesian inference using Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference_using...

    Bayesian inference using Gibbs sampling (BUGS) is a statistical software for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods. It was developed by David Spiegelhalter at the Medical Research Council Biostatistics Unit in Cambridge in 1989 and released as free software in 1991.

  4. Mometasone - Wikipedia

    en.wikipedia.org/wiki/Mometasone

    Mometasone, also known as mometasone furoate, is a steroid (specifically, a glucocorticoid) medication used to treat certain skin conditions, hay fever, and asthma. [ 10 ] [ 11 ] [ 12 ] Specifically it is used to prevent rather than treat asthma attacks. [ 10 ]

  5. 2-Furoyl chloride - Wikipedia

    en.wikipedia.org/wiki/2-Furoyl_chloride

    2-Furoyl chloride is an acyl chloride of furan.It takes the form of a corrosive liquid, which is more irritating to the eyes than benzoyl chloride. [1] 2-Furoyl chloride is a useful pharmaceutical intermediate and is used in the synthesis of mometasone furoate, an antiinflammatory prodrug used in the treatment of skin disorders, hay fever and asthma.

  6. Methasone - Wikipedia

    en.wikipedia.org/wiki/Methasone

    The methasones (or metasones) are a class of corticosteroids [1] which are generally used in dermatology.They are defined by substitution with a methyl group at the C16α or C16β position of the pregnane steroid nucleus.

  7. Variational Bayesian methods - Wikipedia

    en.wikipedia.org/wiki/Variational_Bayesian_methods

    Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning.They are typically used in complex statistical models consisting of observed variables (usually termed "data") as well as unknown parameters and latent variables, with various sorts of relationships among the three types of random variables, as ...

  8. Talk:Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Talk:Gibbs_sampling

    Here's a toy example of discrete x and y taking on values 0 and 1. p(x=0,y=0)=0 p(x=0,y=1)=0.5 p(x=1,y=0)=0.5 p(x=1,y=1)=0 Gibbs sampling can never move out of (0,1) or (1,0). However, it does leave the distribution of interest invariant. So Gibbs sampling is always a valid MCMC operator that can be mixed with another operator that ensures ...

  9. It is the first asthma triple-combination therapy; it consists of a fixed-dose combination of three active substances (indacaterol, glycopyrronium bromide and mometasone furoate) in capsules, to be administered using an inhaler. [11] An optional electronic sensor may also be co-packed with the product. [11]

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