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CVPR
2005
IEEE
16 years 5 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
16 years 5 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
17 years 2 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
148
Voted
WABI
2004
Springer
106views Bioinformatics» more  WABI 2004»
15 years 8 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»
15 years 3 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