Sentence examples for likelihood in terms of from inspiring English sources

Exact(5)

Secondly, the probit link also led to a convenient computation of the marginal likelihood in terms of multivariate normal probabilities (Pawitan et al. 2004).

Conceptually, we can think of the winner-take-all analysis as effectively approximating the likelihood in terms of periodic boxcar functions; for the probabilistic analysis, we treat the likelihood as a periodic sum-of-Gaussians.

They begin by reparametrising the likelihood in terms of θ = tan − 1 and rewriting the null hypothesis as H 0 prop : β 1 = β cos ; β 2 = β sin.

Here we express the β′ and α′ parameters in the QCPG likelihood in terms of various parameters (denoted α and β) in a prospective model for trait given genotype.

For the matched data, lm and glm functions from the R stats and MASS packages were used to estimate equations for log tariff in terms of the covariates and to obtain probit estimation of admission likelihood in terms of the covariates and tariff scores.

Similar(55)

The plot in Figure  9 (center) shows the distribution of the likelihoods in terms of the total number of times a state with a given likelihood was visited.

In places where they don't represent likelihoods in terms of odds (eg 5 to 1, meaning you can win $5 for every dollar you put in), they will just do it in terms of money multipliers.

The starting point is a series expansion of the likelihood function in terms of orthogonal polynomials.

In the univariate context, we compare the performance of the two approximation methods relative to exact maximum likelihood (ML) in terms of bias and variance for the Vasicek process.

Online maximum likelihood estimator of time-varying delay is developed in which coefficients of the transformed delay signal are obtained by maximizing the likelihood function in terms of these DCT coefficients.

Choice of model priors was based on the Path Sampling (PS) and Stepping Stone (SS) sampling methods in BEAST, which have been shown to outperform other marginal likelihood estimators in terms of consistency [ 44].

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