Zobrazeno 1 - 10
of 13
pro vyhledávání: '"María Teresa Gallegos"'
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Advances in Data Analysis and Classification. 12:179-202
The present paper proposes a new strategy for probabilistic (often called model-based) clustering. It is well known that local maxima of mixture likelihoods can be used to partition an underlying data set. However, local maxima are rarely unique. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f904a64b75226cce83706aaccfb6a3b
https://doi.org/10.1007/s11634-016-0278-2
https://doi.org/10.1007/s11634-016-0278-2
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Journal of Multivariate Analysis. 117:14-31
Pollard showed for k-means clustering and a very broad class of sampling distributions that the optimal cluster means converge to the solution of the related population criterion as the size of the data set increases. We extend this consistency resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183936574f1c85596e715594d782f0db
https://doi.org/10.1016/j.jmva.2013.01.013
https://doi.org/10.1016/j.jmva.2013.01.013
Autor:
María Teresa Gallegos, Gunter Ritter
Publikováno v:
Computational Statistics & Data Analysis. 54:637-654
Statistical clustering criteria with free scale parameters and unknown cluster sizes are inclined to create small, spurious clusters. To mitigate this tendency a statistical model for cardinality-constrained clustering of data with gross outliers is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2040edff0f52d8f85474f4223621467d
https://doi.org/10.1016/j.csda.2009.08.023
https://doi.org/10.1016/j.csda.2009.08.023
Autor:
María Teresa Gallegos, Gunter Ritter
Publikováno v:
Advances in Data Analysis and Classification. 3:135-167
We establish an affine equivariant, constrained heteroscedastic model and criterion with trimming for clustering contaminated, grouped data. We show existence of the maximum likelihood estimator, propose a method for determining an appropriate constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::246843745acde77f61399413d2b449a5
https://doi.org/10.1007/s11634-009-0044-9
https://doi.org/10.1007/s11634-009-0044-9
Autor:
K. P. Jungius, N. Rupp, María Teresa Gallegos, Gunter Ritter, Ernst-Michael Jung, Dirk-André Clevert, R. Kubale
Publikováno v:
European Radiology. 17:439-447
The purpose was to evaluate whether B-flow can improve the ultrasonographic diagnosis of preocclusive stenosis and occlusion of the internal carotid artery (ICA) compared with colour-coded Doppler and power Doppler. Ninety patients with occlusions or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c15971de4ee41ecde569068bca824cfa
https://doi.org/10.1007/s00330-006-0285-3
https://doi.org/10.1007/s00330-006-0285-3
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Journal of Multivariate Analysis. 97(5):1221-1250
Recently, we proposed variants as a statistical model for treating ambiguity. If data are extracted from an object with a machine then it might not be able to give a unique safe answer due to ambiguity about the correct interpretation of the object.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27aca1603eeacfde8673f4c5879d7505
Autor:
María Teresa Gallegos
Publikováno v:
Stochastic Models. 19:37-74
Starting from an abstract setting which extends the property “skip free to the left” for transition matrices to a partition of the state space, we develop bounds for the mean hitting time of a Markov chain to an arbitrary subset from an arbitrary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8a7dcd7ffd31db2211c2ed9eb31b3ed
https://doi.org/10.1081/stm-120018139
https://doi.org/10.1081/stm-120018139
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Journal of Multivariate Analysis. 81(2):301-334
We present a Bayesian theory of object identification. Here, identifying an object means selecting a particular observation from a group of observations (variants), this observation (the regular variant) being characterized by a distributional model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4fb2adf46b9e79037461dc601ce144
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Results in Mathematics. 37:246-273
We call a finite partition of the state space of a (discrete-time) Markov chain balanced if the flows in both directions between any two of its classes are equal in equilibrium. If a Markov chain is reversible then any finite partition is balanced. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e665e473e05b09b7a70a5be7b3f546f
https://doi.org/10.1007/bf03321996
https://doi.org/10.1007/bf03321996
Autor:
Gunter Ritter, María Teresa Gallegos
Publikováno v:
Pattern Recognition Letters. 18:525-539
We propose a heuristic method of parameter estimation in mixture models for data with outliers and design a Bayesian classifier for assignment of m objects to n ⩾ m classes under constraints. This method of outlier handling combined with the classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e1411dc2ad3aac39a85de681e91285c
https://doi.org/10.1016/s0167-8655(97)00049-4
https://doi.org/10.1016/s0167-8655(97)00049-4