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On Pattern Recovery of The Fused Lasso
Confidence interval jackknife empirical likelihood risk measure
2016/1/25
Quantifying risks is of importance in insurance. In this paper, we employ the jackknife empirical likelihood method to construct confidence intervals for some risk measures and related quantities stud...
On Pattern Recovery of The Fused Lasso
Fused Lasso Non-asymptotic Pattern recovery Preconditioning
2016/1/20
We study the property of the Fused Lasso Signal Approximator(FLSA) for estimating a blocky signal sequence with additive noise.We transform the FLSA to an ordinary Lasso problem. By studying the prope...
PATTERN FORMING DYNAMICAL INSTABILITIES OF BOSE–EINSTEIN CONDENSATES
Power is not stable condensate lattice
2014/12/29
In this short topical review, we revisit a number of works on the pattern-forming dynamical instabilities of Bose–Einstein condensates in one- and two-dimensional settings. In particular, we illustrat...
Research on the visitor flow pattern of Expo 2010
Visitor flow visibility graph complex network time series Expo
2011/7/6
Expo 2010 Shanghai China was a successful, splendid and unforgettable event, remaining us with valuable experiences. The visitor flow pattern of Expo is investigated in this paper. The Hurst exponent,...
Time and category information in pattern-based codes
Neurons and Cognition (q-bio.NC) Quantitative Methods (q-bio.QM) Applications (stat.AP)
2010/12/17
Sensory stimuli are usually composed of different features (the what) appearing at irregular times (the when). Neural responses often use spike patterns to represent sensory information. The what is h...
The false discovery rate for statistical pattern recognition
Statistical learning theory generalization error false discovery rate
2009/9/16
The false discovery rate (FDR) and false nondiscovery rate (FNDR) have received considerable attention in the literature on multiple testing. These performance measures are also appropriate for classi...
CENTRAL PARTITION FOR A PARTITIONDISTANCE AND STRONG PATTERN GRAPH
clustering graph algorithms node cover combinatorial problems strong pattern central partition
2009/2/26
When several clustering algorithms are applied to a dataset E or the same algorithm
with different parameters, we get several different partitions of the dataset. In this
paper we consider the probl...
The False Discovery Rate for Statistical Pattern Recognition
Statistical learning theory generalization error false discovery rate
2010/3/17
The false discovery rate (FDR) and false nondiscovery rate
(FNDR) have received considerable attention in the literature on multiple
testing. These performance measures are also appropriate for clas...
Multiple pattern matching：A Markov chain approach
Multiple pattern matching Markov chain approach
2010/4/28
RNA motifs typically consist of short, modular patterns that include base pairs formed
within and between modules. Estimating the abundance of these patterns is of fundamental
importance for assessi...