Nuisance parameter problem in quantum estimation theory: tradeoff relation and qubit examples

A Page test with nuisance parameter estimation

Inverse problem theory - and methods for model parameter estimation

No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading inverse problem theory and methods for model parameter estimation is also a way as one of the collective books that gives many a...

Motion Parameter Estimation from Optical Flow without Nuisance Parameters

Many kinds of computer vision problems can be formalized as statistical estimation problems with nuisance parameters. In the past, such problems have been solved without making any distinction between the nuisance parameters and structural ones. However, a theory of statistics suggests that eliminating the nuisance parameters by assuming a probability distribution on them improves estimation ac...

Theory of Parameter Estimation

0. Introduction and summary. The analysis of data from the gravitational-wave detectors that are currently under construction in several countries will be a challenging problem. The reason is that gravitational-vawe signals are expected to be extremely weak and often very rare. Therefore it will be of great importance to implement optimal statistical methods to extract all possible information ...

On the estimation of a parameter with incomplete knowledge on a nuisance parameter

In this paper we consider the problem of estimating a parameter of a probability distribution when we have some prior information on a nuisance parameter. We start by the very simple case where we know perfectly the value of the nuisance parameter. The complete likelihood is the classical tool in this case. Then, progressively, we consider the case where we are given a prior probability distrib...