Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jacek Koronacki"'
Publikováno v:
Information Sciences. 330:74-87
Dimensionality reduction that preserves certain characteristics of data is needed for numerous reasons. In this work we focus on data coming from a mixture of Gaussian distributions and we propose a method that preserves the distinctness of the clust
Publikováno v:
Applied Mathematics and Computation. 256:591-601
There are numerous measures designed to evaluate quality of a given data grouping in terms of its distinctness and between-cluster separation. However, there seems to be no efficient method to assess distinctness of the intrinsic structure within dat
Publikováno v:
Pattern Recognition. 38:241-250
We propose a new algorithm for positron emission tomography (PET) image reconstruction. The algorithm belongs to the family of Markov chain Monte Carlo methods with auxiliary variables. The idea is to iteratively generate hidden variables at one step
Publikováno v:
Future Generation Computer Systems. 17:387-396
In this paper, a new approach to scheduling of parallel and distributed algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose, agents — local de
Autor:
Jacek Koronacki, Jan Ćwik
Publikováno v:
Computational Statistics & Data Analysis. 26:199-218
A multivariate extension of the plug-in kernel (and filtered kernel) estimator is proposed and this uses asymptotically optimal bandwidth matrix (matrices) for a normal mixture approximation of a density to be estimated (the filtered kernel estimator
Autor:
Jacek Koronacki, U. Luboińska
Publikováno v:
Computational Statistics & Data Analysis. 18:317-330
Let X (1) ,..., X (m) be m independent, real-valued random variables with unknown densities and let Y = Ψ(X (1) ,...,X (m) ) be their known functional. The aim is to estimate the density of the random variable Y , given n independent realizations of
Autor:
Jacek Koronacki, W. Feluch
Publikováno v:
Computational Statistics & Data Analysis. 13:143-151
In the note, a simple modification of the least-squares cross-validation criterion is proposed for choosing the bandwidth of kernel density estimators. For an i.i.d. sample X1, X2, …, Xn, the modification consists in leaving out a number of terms w
Autor:
Jacek Koronacki
Publikováno v:
Journal of Statistical Planning and Inference. 30:137-139
Autor:
Jacek Koronacki, Wolfgang Wertz
Publikováno v:
Journal of Statistical Planning and Inference. 20:23-39
In this paper asymptotic sequential fixed-width confidence bounds for an unknown density on the real line, based on integrated squared error, are studied. Using a sequence of Wolverton-Wagner kernel estimators, two classes of stopping rules are estab
Autor:
Jacek Koronacki
Publikováno v:
Statistics & Probability Letters. 5:415-419
A stochastic approximation counterpart of the feasible direction method of Topkis and Veinott is considered. No convexity condition on a function to be minimized is imposed and a procedure for one-dimensional minimization along each feasible directio