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CVPR
2005
IEEE
14 years 8 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
CVPR
1999
IEEE
14 years 8 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren

Lecture Notes
564views
15 years 4 months ago
Empirical Finance
These notes cover several topics such as Predicting Asset Returns, Linear Factor Model, Linear Factor Models in SDF Form, Consumption-Based Asset Pricing, Riskneutral Distributions...
Paul Söderlind
WABI
2004
Springer
106views Bioinformatics» more  WABI 2004»
13 years 11 months ago
Suboptimal Local Alignments Across Multiple Scoring Schemes
Abstract. Sequence alignment algorithms have a long standing tradition in bioinformatics. In this paper, we formulate an extension to existing local alignment algorithms: local ali...
Morris Michael, Christoph Dieterich, Jens Stoye
CSDA
2006
117views more  CSDA 2006»
13 years 6 months ago
GACV for quantile smoothing splines
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
Ming Yuan