prior

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prior(s)

n. slang for a criminal defendant's previous record of criminal charges, convictions, or other judicial disposal of criminal cases (such as probation, dismissal or acquittal). Only previous felony convictions can be introduced into evidence. However, the record of "priors" can have an impact on sentencing, as with prior drunk driving convictions requiring mandatory jail sentences, and "three strikes, you're out," providing for extended sentences for the third felony conviction.

prior

adjective antecedent, anterior, earlier, first, foregoing, former, inaugural, introductory, late, lead, old, past, precedent, preceding, precursory, prefatory, preliminary, preludial, prelusive, prevenient, previous, proemial, quondam, superior
Associated concepts: prior approval, prior conviction, prior lien, prior restraint
See also: aforesaid, antecedent, back, before mentioned, former, last, preceding, precursory, preexisting, preferred, preliminary, preparatory, previous, said
References in periodicals archive ?
Therefore it is very difficult to consider the informative priors due to assessment of their hyperparameters.
In our study priors are quite flexible but in general set up it is not possible to obtain the Bayes estimates in explicit form.
and Here we haveassumed most common non- informative priors i.
The Bayes estimates and Bayes posterior risk for the parameters are obtained under four loss functions using informative and Non-informative priors.
Here a simulation criterion is used and for each 10000 times the Bayes estimates and the Bayes posterior risks for both shape and scale parameters are being calculated under different loss functions along with non-informative and informative priors.
If we make a comparison of Bayes posterior risk under different loss function using non-informative as well as informative priors has been made through which we conclude that within each loss function joint Lognormal-Gamma prior provides less Bayes posterior risk so it is more suitable for the two parametric Weibull distribution and amongst loss functions the Quadratic loss function is more preferable as compared to all other loss functions which are provided here because under this loss function Bayes posterior risk is small for each and every value of the scale parameter .
At first we have developed posterior distributions using two non- informative priors (Joint Uniform and Joint Jeffreys) and three informative priors (Joint Lognormal-Gamma Exponential-Gamma and Gamma-Gamma).
For further study we suggest such type of work can be done by using other informative priors for the parameters of the Weibull distribution and also the parameters can be estimated by other procedures such as weighted least square method method of moments etc.
Keywords: Elicitation of Hyper parameters Jeffreys Prior Loss Functions Prior Predictive
California's "three strikes" law sets a mandatory sentence of 25 years to life in prison for third-time felons with two prior violent or serious offenses.