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Vine copulas as a mean for the construction of high dimensional probability distribution associated to a Markov Network
Copula decomposition t-cherry junction tree Markov network Cherry-wine probability distribution Graphical models
2011/6/17
Building higher-dimensional copulas is generally recognized as a difficult
problem. Regular-vines using bivariate copulas provide a flexible class of high-dimensional
dependency models. In large dim...
How the result of graph clustering methods depends on the construction of the graph
graph clustering construction
2011/3/21
We study the scenario of graph-based clustering algorithms such as spectral clustering. Given a set of data points, one first has to construct a graph on the data points and then apply a graph cluste...
On construction of the smallest one-sided confidence interval for the difference of two proportions
Binomial distribution coverage probability minimum effectivedose multiple tests Poisson distribution set inclusion
2010/3/11
For any class of one-sided 1− confidence intervals with a certain
monotonicity ordering on the random confidence limit, the smallest
interval, in the sense of the set inclusion for the differ...
On the construction of the Wold decomposition for non-stationary stochastic processes
the construction of the Wold decomposition non-stationary stochastic processes
2009/9/24
On the construction of the Wold decomposition for non-stationary stochastic processes。
ON THE CONSTRUCTION AND PROPERTIES OF BOOTSTRAP-t PREDICTION INTERVALS FOR STATIONARY TIME SERIES
Prediction intervals sieve bootstrap-t method of sieves
2009/9/18
We consider the construction of unconditional bootstrap-
t prediction intervals for stationary time series. Our approach
relies on the sieve bootstrap resampling scheme introduced by
Biihlmann.
Ba...
Construction of Bayesian Deformable Models via Stochastic Approximation Algorithm：A Convergence Study
stochastic approximation algorithms non rigid-deformable templates shapes statistics Bayesian modeling MAP estimation
2010/4/29
The problem of the definition and the estimation of generative models based on deformable templates from raw data is of particular importance for modeling non-aligned data affected by various types of...