Andreas Prohl is affiliated with the University of Tübingen in Germany and focuses on research primarily within the fields of Economics, Econometrics and Finance. Their scholarly contributions span several related subfields including Finance, Computational Theory and Mathematics, Computational Mechanics, Statistics, Probability and Uncertainty, and Statistics and Probability.
The research topics that dominate Prohl's work encompass stochastic processes and financial applications, advanced mathematical modeling in engineering, advanced numerical methods in computational mathematics, probabilistic and robust engineering design, risk and portfolio optimization, solidification and crystal growth phenomena, and statistical methods and inference.
Frequent collaboration with other researchers is a notable aspect of Prohl's academic activity. Key coauthors include Dominic Breit, Yanqing Wang, Fabian Merle, and Martin Ondreját.
Prohl has contributed to publications in several venues, with repeated appearances in:
Significant recent papers authored or coauthored by Prohl cover topics in stochastic partial differential equations, numerical approximations, and stochastic control problems. Selected works include:
Other recent relevant publications, though not authored by Prohl but representative of the research themes they engage with, include:
Xiaobing Feng;Andreas Prohl
Andreas Prohl
Xiaobing Feng;Andreas Prohl
Martin Kruzík;Andreas Prohl
Sören Bartels;Andreas Prohl
Andreas Prohl
Roland Becker;Xiaobing Feng;Andreas Prohl
Xiaobing Feng;Andreas Prohl
Zdzislaw Brzeźniak;Erich Carelli;Andreas Prohl
Xiaobing Feng;Andreas Prohl
Erich Carelli;Andreas Prohl
Andreas Prohl;Markus Schmuck
Xiaobing Feng;Andreas Prohl
Soeren Bartels;Soeren Bartels;Joy Ko;Andreas Prohl
Soeren Bartels;Andreas Prohl
Carsten Carstensen;Andreas Prohl
Ananta K. Majee;Andreas Prohl
L̆ubomír Baňas;Zdzislaw Brzeźniak;Mikhail Neklyudov;Andreas Prohl
L'ubomír Baňas;Sören Bartels;Andreas Prohl
X. Feng;M. von Oehsen;A. Prohl
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