For a family of uniform distribution on the interval [8 - (1/2), e - (1/2)]\u27 the informationinequality for the bayes risk of any estimator of e is given under the quadratic Joss and the uniform priordistribution on an interval [-c,c]. The lower bound for the Bayes risk is shown to be sharp. And also thelower bound for the limit inferior of Bayes risk as c -jo 00 is seen to be attained by the mid-range estimator
The information inequality has been shown to be an effective tool for providing lower bounds for the...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
AbstractLet X = (X1,…,Xp)t to be an observation from a p-variate normal distribution with unknown me...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds for the minimax risk under quadraticloss, derived from information ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
We consider the problem of parameter estimation in a Bayesian setting and propose a general lower-bo...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
summary:This paper deals with Bayesian models given by statistical experiments and standard loss fun...
summary:This paper deals with Bayesian models given by statistical experiments and standard loss fun...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
AbstractLet X = (X1,…,Xp)t to be an observation from a p-variate normal distribution with unknown me...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds for the minimax risk under quadraticloss, derived from information ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
We consider the problem of parameter estimation in a Bayesian setting and propose a general lower-bo...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
summary:This paper deals with Bayesian models given by statistical experiments and standard loss fun...
summary:This paper deals with Bayesian models given by statistical experiments and standard loss fun...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
AbstractLet X = (X1,…,Xp)t to be an observation from a p-variate normal distribution with unknown me...