Zobrazeno 1 - 10
of 183
pro vyhledávání: '"M��ller, Hans"'
Autor:
Ludwig, Ferdinand, Well, Friederike, Moseler, Eva-Maria, Eisenberg, Bernd, Deffner, Jutta, Drautz, Silke, Elnagdy, Mohamed Tarek, Friedrich, Renate, Jaworski, Till, Meyer, Sebastian, Minke, Ralf, Morandi, Carlo, M��ller, Hans, Narva��z Vallejo, Alejandra, Richter, Philipp, Schwarz-Von Raumer, Hans-Georg, Steger, Lotta, Steinmetz, Heidrun, Wasielewski, Stephan, Winker, Martina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ce5d65475e1fa6d3ff7bed535a6997
Autor:
Fan, Jianing, M��ller, Hans-Georg
Increasingly complex data analysis tasks motivate the study of the dependency of distributions of multivariate continuous random variables on scalar or vector predictors. Statistical regression models for distributional responses so far have primaril
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08876bd84c6a3bbb30f203afdd3b55fa
http://arxiv.org/abs/2107.09218
http://arxiv.org/abs/2107.09218
Autor:
Gorges, Martin Peter, Del Tredici, Kelly, Dreyhaupt, Jens, Braak, Heiko, Ludolph, Albert C., M��ller, Hans-Peter, Kassubek, Jan Rainer
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports
Scientific Reports
A sequential transaxonal disease spread of amyotrophic lateral sclerosis (ALS)-associated TDP-43 pathology in four stages has been defined by post-mortem data, which have been transferred to in vivo imaging by diffusion tensor imaging (DTI) studies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03bea9055fdde8de17e2b2ba03c4cab1
http://link.springer.com/article/10.1038/s41598-018-33830-z
http://link.springer.com/article/10.1038/s41598-018-33830-z
Autor:
Chen, Yaqing, M��ller, Hans-Georg
Local Fr��chet regression is a nonparametric regression method for metric space valued responses and Euclidean predictors, which can be utilized to obtain estimates of smooth trajectories taking values in general metric spaces from noisy metric s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de12a5054e416f7290d7f4428b971e1
Autor:
Gajardo, ��lvaro, M��ller, Hans-Georg
Point processes in time have a wide range of applications that include the claims arrival process in insurance or the analysis of queues in operations research. Due to advances in technology, such samples of point processes are increasingly encounter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba40fa96a008b44696f821dd6973efd
Autor:
Lin, Zhenhua, M��ller, Hans-Georg
Non-Euclidean data that are indexed with a scalar predictor such as time are increasingly encountered in data applications, while statistical methodology and theory for such random objects are not well developed yet. To address the need for new metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fabb410d140ebf82a6098dfb54faaf11
Autor:
Dubey, Paromita, M��ller, Hans-Georg
We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07eee4c0db3cd414f3fa4e97c67d2050
When considering functional principal component analysis for sparsely observed longitudinal data that take values on a nonlinear manifold, a major challenge is how to handle the sparse and irregular observations that are commonly encountered in longi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae3b5561d42073bee36607966781e64
http://arxiv.org/abs/1812.04774
http://arxiv.org/abs/1812.04774
We propose a nonparametric method to explicitly model and represent the derivatives of smooth underlying trajectories for longitudinal data. This representation is based on a direct Karhunen--Lo\`eve expansion of the unobserved derivatives and leads
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b8929555abd1659a4eecb6cc5a399f1
http://arxiv.org/abs/1707.04360
http://arxiv.org/abs/1707.04360
Autor:
Dubey, Paromita, M��ller, Hans-Georg
Fr��chet mean and variance provide a way of obtaining mean and variance for general metric space valued random variables and can be used for statistical analysis of data objects that lie in abstract spaces devoid of algebraic structure and operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6eacff1d28773f7b5513dcdea65539a