Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sarah Brockhaus"'
Publikováno v:
Journal of Statistical Software, Vol 94, Iss 1, Pp 1-50 (2020)
The R add-on package FDboost is a flexible toolbox for the estimation of functional regression models by model-based boosting. It provides the possibility to fit regression models for scalar and functional response with effects of scalar as well as f
Externí odkaz:
https://doaj.org/article/1f2e8e2ec3084945b80b0277dfd68344
Autor:
Sarah Brockhaus, Sonja Greven, Madeleine Opitz, Sophia Anna Schaffer, Benedikt von Bronk, Almond Stöcker
Publikováno v:
Statistical Modelling. 21:385-404
We extend Generalized Additive Models for Location, Scale, and Shape (GAMLSS) to regression with functional response. This allows us to simultaneously model point-wise mean curves, variances and other distributional parameters of the response in depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd6893efae050aa8060dba437b73bdf5
https://doi.org/10.1177/1471082x20917586
https://doi.org/10.1177/1471082x20917586
Autor:
Pascal J. Kieslich, Felix Henninger, Sarah Brockhaus, Frauke Kreuter, Florian Keusch, Malte Schierholz, Rachel Horwitz
Publikováno v:
Advances in Questionnaire Design, Development, Evaluation and Testing
Online-Befragungen sind zu einer ublichen und haufig praferierten Datenerhebungsmethode geworden. Die hohe Flexibilitat und Anpassbarkeit ist ein wesentlicher Vorteil dieser Technologie. Die technischen Moglichkeiten werden oft von Umfrageentwicklern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db89dd97bf18717d6f067d82357f52e6
https://doi.org/10.1002/9781119263685.ch16
https://doi.org/10.1002/9781119263685.ch16
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 67:621-642
The link between different psychophysiological measures during emotion episodes is not well understood. To analyse the functional relationship between electroencephalography (EEG) and facial electromyography (EMG), we apply historical function-on-fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a57c2403192084859b9feb3e2a9fd8
https://doi.org/10.1111/rssc.12241
https://doi.org/10.1111/rssc.12241
Autor:
Rocío Palmera-Suárez, Enrique Alcalde-Cabero, Sarah Brockhaus, Iñaki Galán, Rafael Fernández-Cuenca, Teresa López-Cuadrado
Publikováno v:
Accident Analysis & Prevention. 91:36-42
The severity of disability related to road traffic crashes has been little studied, despite the significant health and socio-economic impacts that determine victims' quality of life.To estimate the consequences of road traffic crashes on the severity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0986adff1ab1bc763b497819008497bf
https://doi.org/10.1016/j.aap.2016.02.024
https://doi.org/10.1016/j.aap.2016.02.024
Publikováno v:
Statistics and Computing. 27:913-926
We propose a general framework for regression models with functional response containing a potentially large number of flexible effects of functional and scalar covariates. Special emphasis is put on historical functional effects, where functional re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8f32dd7506f445d7aedf0a63e922cd
https://doi.org/10.1007/s11222-016-9662-1
https://doi.org/10.1007/s11222-016-9662-1
Publikováno v:
Statistical Modelling. 15:279-300
The functional linear array model (FLAM) is a unified model class for functional regression models including function-on-scalar, scalar-on-function and function-on-function regression. Mean, median, quantile as well as generalized additive regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc03eac8273eaed0b39e001a4ccea29c
https://doi.org/10.1177/1471082x14566913
https://doi.org/10.1177/1471082x14566913
Summary We discuss scalar-on-function regression models where all parameters of the assumed response distribution can be modelled depending on covariates. We thus combine signal regression models with generalized additive models for location, scale a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee1abfd1e9d71e67c5e9b6080f4d586
http://arxiv.org/abs/1605.04281
http://arxiv.org/abs/1605.04281
