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Estimation theory

Known as: Estimability, Parameter estimation, Estimation (econometrics) 
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
This paper focuses on the problem of human face pose estimation using single image. Traditional methods for 2D-3D feature based… 
Highly Cited
2010
Highly Cited
2010
We present an extension to the SRILM toolkit for training maximum entropy language models with N -gram features. The extension… 
2007
2007
Much recent work on automatic history matching and data assimilation has focused on the adjustment of simulator… 
Highly Cited
2005
Highly Cited
2005
The time-of-flight (TOF) principle is a well known principle to acquire a scene in all three dimensions. The advantages of the… 
Highly Cited
2003
Highly Cited
2003
After a brief introduction explaining the motivation for predicting the mobile radio channel both a deterministic channel model… 
Highly Cited
2003
Highly Cited
2003
This paper investigates the use of discriminative schemes based on themaximum mutual information (MMI) and minimum phone error… 
2001
2001
The estimation problem of the position and orientation of a moving object from visual measurements is considered. Extended Kalman… 
1994
1994
As many different modal parameter estimation algorithms have evolved over the past twenty years, the ability to view all… 
1990
1990
In this initial paper we will discuss the development of the application of physical laws to the modeling of cumulative damage… 
Highly Cited
1989
Highly Cited
1989