Zobrazeno 1 - 10
of 46
pro vyhledávání: '"David Rügamer"'
Autor:
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
Publikováno v:
Journal of Statistical Software, Vol 105, Pp 1-31 (2023)
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of additive regression models and deep networks. Our implementation encom
Externí odkaz:
https://doaj.org/article/da18f6b48a9a4792973885c91aad0334
Autor:
Bernard X. W. Liew, David Rügamer, Qichang Mei, Zainab Altai, Xuqi Zhu, Xiaojun Zhai, Nelson Cortes
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Alterations in joint contact forces (JCFs) are thought to be important mechanisms for the onset and progression of many musculoskeletal and orthopaedic pain disorders. Computational approaches to JCFs assessment represent the only non-invasive means
Externí odkaz:
https://doaj.org/article/cbad7015b2b84340a78c5ebe0efb3418
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthc
Externí odkaz:
https://doaj.org/article/51ceb46b61cd46a49557c7ebafd1a180
Publikováno v:
Journal of Clinical Medicine, Vol 12, Iss 19, p 6232 (2023)
This study aims to compare the variable selection strategies of different machine learning (ML) and statistical algorithms in the prognosis of neck pain (NP) recovery. A total of 3001 participants with NP were included. Three dichotomous outcomes of
Externí odkaz:
https://doaj.org/article/6453f047e31a4db1b401861ba7b7386e
Autor:
Bernard Liew, Ho Yin Lee, David Rügamer, Alessandro Marco De Nunzio, Nicola R. Heneghan, Deborah Falla, David W. Evans
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract The inter-session Intraclass Correlation Coefficient (ICC) is a commonly investigated and clinically important metric of reliability for pressure pain threshold (PPT) measurement. However, current investigations do not account for inter-repe
Externí odkaz:
https://doaj.org/article/7b1a28fc92564bd0a683886649398aed
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
Publikováno v:
Journal of Statistical Software, Vol 99, Iss 1 (2021)
Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research. In this paper we introduce the R package cAIC4 that allows for the computation o
Externí odkaz:
https://doaj.org/article/449aaf01f22e44c585b1a1d9b566554c
Publikováno v:
Statistics & Computing; Feb2024, Vol. 34 Issue 1, p1-13, 13p
Publikováno v:
The American Statistician. :1-12
Combining additive models and neural networks allows to broaden the scope of statistical regression and extend deep learning-based approaches by interpretable structured additive predictors at the same time. Existing attempts uniting the two modeling
Publikováno v:
Internationale SteuerRundschau. 11:373-382