Zobrazeno 1 - 10
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pro vyhledávání: '"Tappe, A"'
We develop a unifying framework for modeling multiple term structures arising in financial, insurance, and energy markets. We adopt the Heath-Jarrow-Morton approach under the real-world probability and provide a full description of the set of local m
Externí odkaz:
http://arxiv.org/abs/2411.01983
Future autonomous mobile systems will greatly benefit from cooperation and real-time sensor data exchange using V2X communication. In such applications, wireless communication has to cope with stringent real-time and safety constraints, a huge challe
Externí odkaz:
http://arxiv.org/abs/2410.13398
Autor:
Braune, Katarina, Gajewska, Katarzyna Anna, Thieffry, Axel, Lewis, Dana Michelle, Froment, Timothée, O'Donnell, Shane, Speight, Jane, Hendrieckx, Christel, Schipp, Jasmine, Skinner, Timothy, Langstrup, Henriette, Tappe, Adrian, Raile, Klemens, Cleal, Bryan
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 6, p e25409 (2021)
BackgroundAutomated insulin delivery (AID) systems have been shown to be safe and effective in reducing hyperglycemia and hypoglycemia but are not universally available, accessible, or affordable. Therefore, user-driven open-source AID systems are be
Externí odkaz:
https://doaj.org/article/01a85a079f334ee2b6564aa352403128
Autor:
Tappe, Stefan
In this paper we provide necessary and sufficient conditions for invariance of finite dimensional submanifolds for rough differential equations (RDEs) with values in a Banach space. Furthermore, we apply our findings to the particular situation of ra
Externí odkaz:
http://arxiv.org/abs/2403.10121
Autor:
Tappe, Stefan
We provide an existence and uniqueness result for mild solutions to rough partial differential equations in the framework of the semigroup approach. Applications to stochastic partial differential equations driven by infinite dimensional Wiener proce
Externí odkaz:
http://arxiv.org/abs/2403.09466
Autor:
O'Donnell, Shane, Lewis, Dana, Marchante Fernández, María, Wäldchen, Mandy, Cleal, Bryan, Skinner, Timothy, Raile, Klemens, Tappe, Adrian, Ubben, Tebbe, Willaing, Ingrid, Hauck, Bastian, Wolf, Saskia, Braune, Katarina
Publikováno v:
JMIR Research Protocols, Vol 8, Iss 11, p e15368 (2019)
BackgroundDigital innovations in health care have traditionally followed a top-down pathway, with manufacturers leading the design and production of technology-enabled solutions and those living with chronic conditions involved only as passive recipi
Externí odkaz:
https://doaj.org/article/52717ed92f7d4cb783262e2878d29420
Autor:
Braune, Katarina, O'Donnell, Shane, Cleal, Bryan, Lewis, Dana, Tappe, Adrian, Willaing, Ingrid, Hauck, Bastian, Raile, Klemens
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 7, p e14087 (2019)
BackgroundPatient-driven initiatives have made uptake of Do-it-Yourself Artificial Pancreas Systems (DIYAPS) increasingly popular among people with diabetes of all ages. Observational studies have shown improvements in glycemic control and quality of
Externí odkaz:
https://doaj.org/article/90a4550b1ef74177ab7aa9da6c91f824
Autor:
Tobias van Bebber, Eik-Henning Tappe, Thomas Druyen, Heiko Kleve, Tom Rüsen, Christina Hunger-Schoppe
Publikováno v:
Pilot and Feasibility Studies, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Background Though evidence-based research about system constellations (SCs) appears marginal, it is applied in many psychiatric, psychological, and psychotherapeutic institutions as well as in different contexts of organizational counseling.
Externí odkaz:
https://doaj.org/article/2e3c521e8b3f4461a71fe7884ccc5fca
Autor:
Bhaskaran, Rajeev, Tappe, Stefan
Publikováno v:
Statistics and Probability Letters 217, Article 110282, 2025
In this note we provide conditions for local invariance of finite dimensional submanifolds for solutions to stochastic partial differential equations (SPDEs) in the framework of the variational approach. For this purpose, we provide a connection to S
Externí odkaz:
http://arxiv.org/abs/2309.03823
Autor:
Tappe, Stefan
We study a statistical model for infinite dimensional Gaussian random variables with unknown parameters. For this model we derive linear estimators for the mean and the variance of the Gaussian distribution. Furthermore, we construct confidence inter
Externí odkaz:
http://arxiv.org/abs/2305.11083