Simon Scheidegger

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Felix KublerUniversity of Zurich and Swiss Finance InstituteVerificeret mail på bf.uzh.ch
Roger KäppeliETH ZurichVerificeret mail på sam.math.ethz.ch
Laurence KotlikoffBoston UniversityVerificeret mail på bu.edu
Olaf SchenkProfessor, Institute of Computing, Universita della Svizzera italiana, SIAM FellowVerificeret mail på usi.ch
Aryan EftekhariUniversity of LausanneVerificeret mail på unil.ch
Polbin AndreyRussian Presidential Academy of National Economy and Public AdministrationVerificeret mail på ranepa.ru
Tobias FischerUniversity of WroclawVerificeret mail på uwr.edu.pl
Johannes BrummKarlsruhe Insitute of TechnologyVerificeret mail på kit.edu
Matthias BollhöferProfessor for Numerical Analysis, TU BraunschweigVerificeret mail på tu-bs.de
Friedrich-Karl ThielemannProf. of theor. physics em., Univ. of Basel and guest scientist GSI DarmstadtVerificeret mail på unibas.ch
Philipp RennerSenior Lecturer, Department of Economics, Lancaster UniversityVerificeret mail på lancaster.ac.uk
Dmitry MikushinUniversity of LausanneVerificeret mail på kernelgen.org
Ilias BilionisAssociate Professor, Mechanical Engineering, Purdue UniversityVerificeret mail på purdue.edu
Dimosthenis PasadakisPostdoctoral fellow, Università della Svizzera italianaVerificeret mail på usi.ch
Ue-Li PenUniversity of Toronto, Canadian Institute of Theoretical AstrophysicsVerificeret mail på cita.utoronto.ca
Hui ChenProfessor of Finance, MITVerificeret mail på mit.edu
Anthony MezzacappaCollege of Arts and Sciences Excellence Professor and Newton W. and Wilma C. Thomas Chair, UTKVerificeret mail på utk.edu
Irina SagertLos Alamos National LaboratoryVerificeret mail på lanl.gov
Christopher KrauseKarlsruhe Institute of TechnologyVerificeret mail på kit.edu
Andreas SchaabAssistant Professor, Toulouse School of EconomicsVerificeret mail på tse-fr.eu

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Simon Scheidegger

Department of Economics, Faculty of Business and Economics (HEC Lausanne), University of Lausanne

Verificeret mail på unil.ch - Startside

Climate-change economics computational economics machine learning deep learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Using adaptive sparse grids to solve high‐dimensional dynamic models J Brumm, S Scheidegger Econometrica 85 (5), 1575-1612, 2017	171	2017
The influence of model parameters on the prediction of gravitational wave signals from stellar core collapse S Scheidegger, R Käppeli, SC Whitehouse, T Fischer, M Liebendörfer Astronomy & Astrophysics 514, A51, 2010	121	2010
Large-scale sparse inverse covariance matrix estimation M Bollhöfer, A Eftekhari, S Scheidegger, O Schenk SIAM Journal on Scientific Computing 41 (1), A380-A401, 2019	101	2019
Gravitational waves from 3D MHD core collapse simulations S Scheidegger, T Fischer, S Whitehouse, L Matthias Astronomy & Astrophysics, 0	90*
Deep Equilibrium Nets M Azinovic, L Gaegauf, S Scheidegger https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3393482, 0	86*
Machine learning for high-dimensional dynamic stochastic economies S Scheidegger, I Bilionis Journal of Computational Science 33, 68-82, 2019	70	2019
Making Carbon Taxation a Generational Win Win LJ Kotlikoff, F Kubler, A Polbin, JD Sachs, S Scheidegger NBER Working Paper No. 25760, 2019	56	2019
FISH: a three-dimensional parallel magnetohydrodynamics code for astrophysical applications R Käppeli, SC Whitehouse, S Scheidegger, UL Pen, M Liebendörfer The Astrophysical Journal Supplement Series 195 (2), 20, 2011	41	2011
Gravitational waves from supernova matter S Scheidegger, SC Whitehouse, R Käppeli, M Liebendörfer Classical and Quantum Gravity 27 (11), 114101, 2010	38	2010
Can today's and tomorrow's world uniformly gain from carbon taxation? LJ Kotlikoff, F Kubler, A Polbin, S Scheidegger National Bureau of Economic Research, 2021	27	2021
The climate in climate economics D Folini, F Kübler, A Malova, S Scheidegger arXiv preprint arXiv:2107.06162, 2021	21	2021
Computing equilibria in dynamic stochastic macro-models with heterogeneous agents J Brumm, F Kubler, S Scheidegger Advances in economics and econometrics 2, 185, 2017	20	2017
Scalable high-dimensional dynamic stochastic economic modeling J Brumm, D Mikushin, S Scheidegger, O Schenk Journal of Computational Science 11, 12-25, 2015	20	2015
Pareto-improving carbon-risk taxation L Kotlikoff, F Kubler, A Polbin, S Scheidegger Economic Policy 36 (107), 551-589, 2021	18	2021
Machine Learning for Dynamic Incentive Problems P Renner, S Scheidegger https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3282487, 2018	18	2018
Sparse grids for dynamic economic models J Brumm, C Krause, A Schaab, S Scheidegger Available at SSRN 3979412, 2021	15	2021
Deep structural estimation: With an application to option pricing H Chen, A Didisheim, S Scheidegger arXiv preprint arXiv:2102.09209, 2021	14	2021
Rethinking large-scale economic modeling for efficiency: Optimizations for gpu and xeon phi clusters S Scheidegger, D Mikushin, F Kubler, O Schenk 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018	13	2018
Self-justified equilibria: Existence and computation F Kubler, S Scheidegger Available at SSRN 3494876, 2019	11	2019
Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations S Scheidegger, A Treccani Journal of Financial Econometrics, 2018	11	2018

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