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Guaranteed Sparse Recovery under Linear Transformation
Guaranteed Sparse Recovery Linear Transformation
2013/6/13
We consider the following signal recovery problem: given a measurement matrix $\Phi\in \mathbb{R}^{n\times p}$ and a noisy observation vector $c\in \mathbb{R}^{n}$ constructed from $c = \Phi\theta^* +...
Probit transformation for kernel density estimation on the unit interval
transformation kernel density estimator boundary bias local likelihood density estimation local log-polynomial density estimation
2013/4/27
Kernel estimation of a probability density function supported on the unit interval has proved difficult, because of the well known boundary bias issues a conventional kernel density estimator would ne...
A data-based power transformation for compositional data
A data-based power transformation compositional data
2011/7/5
Compositional data analysis is carried out either by neglecting the compositional constraint and applying standard multivariate data analysis, or by transforming the data using the logs of the ratios ...
Semiparametric Additive Transformation Model under Current Status Data
B-spline Consistent variance estimation Current status data Efficient estimation Semiparametric transformation models
2011/6/16
We consider the efficient estimation of the semiparametric additive transformation model
with current status data. A wide range of survival models and econometric models can be incorporated
into thi...
Beta Transformation. Beta Type Self Decomposability and Related Characterizations
Beta Transformation Beta Type Self Decomposability Related Characterizations
2009/9/18
Beta Transformation.Beta Type Self Decomposability and Related Characterizations。
On Grade Transformation and its Implications for Copulas
Grade Transformation Implications Copulas
2009/9/17
On Grade Transformation and its Implications for Copulas。
A Characterization of the Set of Fixed Points of the Quicksort Transformation
Quicksort fixed point smoothing transformation domain of attraction coupling integral equation
2009/5/4
The limiting distribution m of the normalized number of key comparisons required by the Quicksort sorting algorithm is known to be the unique fixed point of a certain distributional transformation T -...
A KNOWLEDGE-BASED VARIABLE SELECTION METHOD FOR BOX-COX TRANSFORMATION
Regression analysis Box-Cox transformation variable selection j-th best subset problem variable classification meaningful subset practically best regression equation intellectual statistical system OEPP
2009/3/10
In actual applications of regression analysis, users face two difficult problems. One is to find the most appropriate functional form, while the other is to search for the best subset derivable from a...
Dual of Ratio Estimators of Finite Population Mean Obtained on Using Linear Transformation to Auxiliary Variable
bias efficiency most efficient estimator preference region simple random sampling without replacement unbiased estimator variance
2009/3/6
The efficiencies of the ratio- type estimators have been increased by using linear transformation on auxiliary variable in the literature. But such type of estimators requires the additional knowledge...
A Modified Box-Cox Transformation in the Multivariate ARMA Model
Box-Cox transformation limit theorems Monte-Carlo Wald test multivariate ARMA model ratio data transformation-linear process
2009/3/5
The Box-Cox transformation has been used as a simple method of transforming dependent variable in ordinary-linear regression circumstances for improving the Gaussian-likelihood fit and making the dist...