1) Generalized profile likelihood
广义边侧似然函数
2) Wide plausibility function
广义似然函数
3) marginal likelihood function
边际似然函数
1.
In Bayesian reference,marginal likelihood function involve to compute high dimensional complex integrand.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算,因而精确地计算边际似然函数往往有困难。
4) The profile empirical likelihood ratio function
边际似然比函数
5) generalized subconvex-like functions
广义次似凸函数
6) likelihood function
似然函数
1.
The likelihood function is given for family data.
利用子代信息减少亲代单体型的不确定性,构建家系数据的似然函数,把家系中的个体潜在的单体型看成缺失数据,采用EM迭代算法,给出了家系数据单体型频率的极大似然估计。
2.
Put forward the reason of introduce the state space model of the ARIMA process, through the express of its state space model and Kalman filter relation for forecast, discuss the likelihood function and fresh interest means which based on state space model, probe into exact forecast means of the state space model of the ARIMA process.
通过ARIMA过程的状态空间表示和用于预报的Kalman滤波关系式,讨论了在状态空间模型时的似然函数和新息方法求解,探讨了ARIMA过程的状态空间模型的精确预报方法。
3.
Formalae are established describing how the round-off and observational errors influence the reduced likelihood function.
似然函数的Ａｌｉ算法和新息算法用矩阵表示并给出误差分析。
补充资料：边侧
1.边沿，旁侧。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条