Sentence examples for is most likely given from inspiring English sources

In general this is done by first identifying which points (xin mathbb R) are compatible with w, and then selecting which one is most likely, given y and w.

All the model really does is say what is most likely given the current trajectory.

Once again, I'm not advocating any of these as solutions, I'm merely predicting which outcome is most likely, given the facts on the ground and the way the players on both sides are talking about things in public at the moment.

However, a purely olfactory mechanism is most likely given the predominant petrochemical sources.

A Bayesian model selection procedure allows direct comparison of different brain network models, determining which model of connectivity is most likely, given the data.

This is most likely, given that all our pneumococcal isolates are penicillin susceptible and the penicillins are the most readily available oral antibiotics in this setting.

We believe that acquisitions in the £1bn-£2bn raree are most likely given our estimate of additional debt capacity and an expectation that share issuance would be minimised.

Sabhan Mulla, the deputy head of the Salahuddin Provincial Council, said that the episode began when two prisoners brandished weapons — which Mr. Mulla said were most likely given to them by prison guards involved in the attack — and began shooting.

The idea is to hypothesise a set of types, each specifying a possible behaviour for the other agents, and to plan our own actions with respect to those types which we believe are most likely, given the observed actions of the agents.

In the absence of a Higgs Clarkson, it might seem beyond belief after Thompson and Patten's various post-Countryfile avowals that the BBC's signature ageism could have blighted the DG's selection process, at the expense of candidates who are most likely, given the effect of families on women's careers, to be its victims.

That is, to find the values ({u_{k}}_{k=1}^{K}) that are most likely given (underline {mathbf {y}}), i.e., hat{u}_{k}=arg max_{u_{k}}sumlimits_{sim u_{k}} P_{mathbf{U}|underline{mathbf{Y}}}(mathbf{u}|underline{mathbf{y}}) (3).