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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
This work proposes a low-complexity reduced-rank method for general parameter estimation using an adaptive decimation and… 
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… 
1996
1996
We have developed and tested a model to assess the hydrologic and biogeochemical responses of seasonally snow covered alpine… 
1994
1994
As many different modal parameter estimation algorithms have evolved over the past twenty years, the ability to view all… 
1983
1983
An iterative frequency domain technique is presented for estimating AR-plus-noise and autoregressive moving-average (ARMA…