Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and ...
Maximum likelihood estimation of the parameters of a statistical model involves maximizing the likelihood or, equivalently, the log likelihood with respect to the parameters. The parameter values at ...
Some researchers have argued that hedonic demand parameters can be estimated using single market data. This paper shows that unobserved household traits (or tastes) will prevent identification or ...
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