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» Estimation in covariate-adjusted regression
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IEICET
2010
80views more  IEICET 2010»
14 years 8 months ago
Theoretical Analysis of Density Ratio Estimation
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
NN
2000
Springer
165views Neural Networks» more  NN 2000»
14 years 9 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
NIPS
2001
14 years 11 months ago
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, J...
CSDA
2006
98views more  CSDA 2006»
14 years 9 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
METRICS
2003
IEEE
15 years 3 months ago
Using Prior-Phase Effort Records for Re-estimation During Software Projects
Estimating the effort required for software process activities continues to present difficulties for software engineers, particularly given the uncertainty and subjectivity associ...
Stephen G. MacDonell, Martin J. Shepperd