Simon Scheidegger

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Felix KublerUniversity of Zurich and Swiss Finance InstitutePatvirtintas el. paštas bf.uzh.ch
Olaf SchenkProfessor, Institute of Computing, Universita della Svizzera italiana, SIAM FellowPatvirtintas el. paštas usi.ch
Roger KäppeliETH ZurichPatvirtintas el. paštas sam.math.ethz.ch
Laurence KotlikoffBoston UniversityPatvirtintas el. paštas bu.edu
Aryan EftekhariUniversity of LausannePatvirtintas el. paštas unil.ch
Tobias FischerUniversity of WroclawPatvirtintas el. paštas uwr.edu.pl
Polbin AndreyИнститут экономической политики им.Е.Т.Гайдара (Gaidar Institute for Economic Policy)Patvirtintas el. paštas iep.ru
Johannes BrummKarlsruhe Insitute of TechnologyPatvirtintas el. paštas kit.edu
Matthias BollhöferProfessor for Numerical Analysis, TU BraunschweigPatvirtintas el. paštas tu-bs.de
Friedrich-Karl ThielemannProf. of theor. physics em., Univ. of Basel and guest scientist GSI DarmstadtPatvirtintas el. paštas unibas.ch
Philipp RennerSenior Lecturer, Department of Economics, Lancaster UniversityPatvirtintas el. paštas lancaster.ac.uk
Ilias BilionisProfessor, Mechanical Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
Dmitry MikushinUniversity of LausannePatvirtintas el. paštas kernelgen.org
Dimosthenis PasadakisPostdoctoral fellow, Università della Svizzera italianaPatvirtintas el. paštas usi.ch
Hui ChenProfessor of Finance, MITPatvirtintas el. paštas mit.edu
Ue-Li PenUniversity of Toronto, Canadian Institute of Theoretical AstrophysicsPatvirtintas el. paštas cita.utoronto.ca
Anthony MezzacappaCollege of Arts and Sciences Excellence Professor and Newton W. and Wilma C. Thomas Chair, UTKPatvirtintas el. paštas utk.edu
Irina SagertLos Alamos National LaboratoryPatvirtintas el. paštas lanl.gov
Jesus Fernandez-VillaverdeProfessor of Economics, University of PennsylvaniaPatvirtintas el. paštas econ.upenn.edu
Christopher KrauseKarlsruhe Institute of TechnologyPatvirtintas el. paštas kit.edu

Stebėti

Simon Scheidegger

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

Patvirtintas el. paštas unil.ch - Pagrindinis puslapis

Climate-change economics computational economics machine learning deep learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Using adaptive sparse grids to solve high‐dimensional dynamic models J Brumm, S Scheidegger Econometrica 85 (5), 1575-1612, 2017	183	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	128	2010
Large-scale sparse inverse covariance matrix estimation M Bollhofer, A Eftekhari, S Scheidegger, O Schenk SIAM Journal on Scientific Computing 41 (1), A380-A401, 2019	114	2019
Deep Equilibrium Nets M Azinovic, L Gaegauf, S Scheidegger https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3393482, 0	111*
Gravitational waves from 3D MHD core collapse simulations S Scheidegger, T Fischer, S Whitehouse, L Matthias Astronomy & Astrophysics, 0	93*
Machine learning for high-dimensional dynamic stochastic economies S Scheidegger, I Bilionis Journal of Computational Science 33, 68-82, 2019	85	2019
Making Carbon Taxation a Generational Win Win LJ Kotlikoff, F Kubler, A Polbin, JD Sachs, S Scheidegger NBER Working Paper No. 25760, 2019	72	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? L Kotlikoff, F Kubler, A Polbin, S Scheidegger European Economic Review 168, 104819, 2024	34	2024
The climate in climate economics D Folini, A Friedl, F Kübler, S Scheidegger Review of Economic Studies, rdae011, 2024	34	2024
Pareto-improving carbon-risk taxation L Kotlikoff, F Kubler, A Polbin, S Scheidegger Economic Policy 36 (107), 551-589, 2021	21	2021
Scalable high-dimensional dynamic stochastic economic modeling J Brumm, D Mikushin, S Scheidegger, O Schenk Journal of Computational Science 11, 12-25, 2015	21	2015
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
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	15	2021
Self-justified equilibria: Existence and computation F Kubler, S Scheidegger Available at SSRN 3494876, 2019	15	2019
Detecting edgeworth cycles T Holt, M Igami, S Scheidegger The Journal of Law and Economics 67 (1), 67-102, 2024	13	2024
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

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