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Thus, { n k j, ε ̄ k j } derived from { s k j, x k j, z k } are the sufficient statistics to infer the parameter θ.
By recording the cue coin's location, and assuming the subjects placed the net where they believed the target coin to be (μt), we can infer the parameter, r, and their belief of the prior's mean.
We then used our method to infer the parameter values for each of the 11 data sets.
We aim to derive the joint relationship among all the observations x 0, …, x t and then infer the parameter N e governing the process.
Let i denote the dataset of interest, then we aim to infer the parameter where α is the coefficient for a baseline dataset and μ i is difference from this baseline.
and candidate models can be fitted to these data (which are really design objectives) using an appropriate model selection technique in order to (i) choose which model will best reproduce the behaviour we would like the system to undertake, and (ii) infer the parameter distributions.
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To validate the analysis, the same dataset was also processed with the RELION software package33, which uses a Bayesian approach to infer the parameters of a statistical model from the data.
A modified Expectation Maximization (EM) algorithm is also designed to infer the parameters involved in the proposed PMoG-LRR model.
Next, we introduce a statistical model of hypermutation in B cells and infer the parameters from a human repertoire, providing some of the only quantification of the biases in hypermutation rates.
The relations will be extrapolated to infer the parameters of historical earthquakes.
Subsets of these time-varying covariates, in addition to the non-modifiable factors, were then used to infer the parameters of extended Cox models.
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