Simon Scheidegger

Publications | Mémoires et thèses

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25 publications

Sous presse
 
The Climate in Climate Economics
Folini Doris, Friedl Aleksandra, Kübler Felix, Scheidegger Simon Review of Economic Studies.
[DOI][WoS][serval:BIB_4694959D3D04]
2024
 
Algorithm XXX: Sparse Precision Matrix Estimation With <tt>SQUIC</tt>
Eftekhari Aryan, Gaedke-Merzhäuser Lisa, Pasadakis Dimosthenis, Bollhöfer Matthias, Scheidegger Simon, Schenk Olaf, 2024/03/05. ACM Transactions on Mathematical Software.
[DOI][serval:BIB_DC94A42484C8]
 
Detecting Edgeworth Cycles
Holt Timothy, Igami Mitsuru, Scheidegger Simon, 2024/02/01. The Journal of Law and Economics, 67 (1) pp. 67-102.
[DOI][serval:BIB_2185CE1BC365]
2023
 
Uniformly self-justified equilibria
Kubler Felix, Scheidegger Simon, 2023/09. Journal of Economic Theory, 212 p. 105707.
[DOI][WoS][serval:BIB_0DAFA4EE6C6C]
2022
 
Sparse Grids for Dynamic Economic Models
Brumm Johannes, Krause Christopher, Schaab Andreas, Scheidegger Simon, 2022/11/22..
[DOI][serval:BIB_4A7CF67395F0]
 
DEEP EQUILIBRIUM NETS
Azinovic Marlon, Gaegauf Luca, Scheidegger Simon, 2022/11. International Economic Review, 63 (4) pp. 1471-1525.
[DOI][WoS][serval:BIB_D33CF7592ACD]
 
High-Dimensional Dynamic Stochastic Model Representation
Eftekhari Aryan, Scheidegger Simon, 2022/06. SIAM Journal on Scientific Computing, 44 (3) pp. C210-C236.
[DOI][WoS][serval:BIB_E3C9A61944B7]
2021
 
Pareto-improving carbon-risk taxation
Kotlikoff Laurence, Kubler Felix, Polbin Andrey, Scheidegger Simon, 2021/12/01. Economic Policy, 36 (107) pp. 551-589.
[DOI][WoS][serval:BIB_6A2A2CCDFBA9]
 
Block-enhanced precision matrix estimation for large-scale datasets
Eftekhari Aryan, Pasadakis Dimosthenis, Bollhöfer Matthias, Scheidegger Simon, Schenk Olaf, 2021/07. Journal of Computational Science, 53 p. 101389.
[DOI][WoS][serval:BIB_83C1C00F7796]
 
MAKING CARBON TAXATION A GENERATIONAL WIN WIN
Kotlikoff Laurence, Kubler Felix, Polbin Andrey, Sachs Jeffrey, Scheidegger Simon, 2021/02. International Economic Review, 62 (1) pp. 3-46.
[DOI][WoS][serval:BIB_4E4E3E49CE27]
 
Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations
Scheidegger S., Treccani A., 2021. Journal Of Financial Econometrics, 19 (2) pp. 258-290. Peer-reviewed.
[DOI][serval:BIB_E690DFE2FA77]
2019
 
Machine learning for high-dimensional dynamic stochastic economies
Scheidegger Simon, Bilionis Ilias, 2019/04. Journal of Computational Science, 33 pp. 68-82.
[DOI][WoS][serval:BIB_3BB4B18A44D6]
 
Large-scale Sparse Inverse Covariance Matrix Estimation
Bollhöfer Matthias, Eftekhari Aryan, Scheidegger Simon, Schenk Olaf, 2019/01. SIAM Journal on Scientific Computing, 41 (1) pp. A380-A401. Peer-reviewed.
[DOI][WoS][serval:BIB_A88FC968BF6D]
2018
 
Rethinking large-scale Economic Modeling for Efficiency: Optimizations for GPU and Xeon Phi Clusters
Scheidegger S., Mikushin D., Kubler F., Schenk O., 2018/05. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). Peer-reviewed.
[DOI][serval:BIB_D25063CBC4E9]
2017
 
Computing Equilibria in Dynamic Stochastic Macro-Models with Heterogeneous Agents
Brumm J., Kubler F., Scheidegger S., 2017. pp. 185-230 dans Advances in Economics and Econometrics, Cambridge University Press.
[DOI][serval:BIB_46926772EA45]
 
Parallelized Dimensional Decomposition for Large-Scale Dynamic Stochastic Economic Models
Eftekhari A., Scheidegger S., Schenk O., 2017. Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '17. Peer-reviewed.
[DOI][serval:BIB_6421C6F49332]
 
Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models
Brumm J., Scheidegger S., 2017. Econometrica, 85 (5) pp. 1575-1612. Peer-reviewed.
[DOI][WoS][serval:BIB_892174195BE1]
2015
 
Scalable high-dimensional dynamic stochastic economic modeling
Brumm J., Mikushin D., Scheidegger S., Schenk O., 2015/11. Journal of Computational Science, 11 pp. 12-25. Peer-reviewed.
[DOI][WoS][serval:BIB_3E208C036077]
2011
 
FISH: A THREE-DIMENSIONAL PARALLEL MAGNETOHYDRODYNAMICS CODE FOR ASTROPHYSICAL APPLICATIONS
Käppeli R., Whitehouse S. C., Scheidegger S., Pen U.-L., Liebendörfer M., 2011/08/01. The Astrophysical Journal Supplement Series, 195 (2) p. 20. Peer-reviewed.
[DOI][WoS][serval:BIB_192C5D4C9AE5]
2010
 
Gravitational waves from supernova matter
Scheidegger S, Whitehouse S C, Käppeli R, Liebendörfer M, 2010/06/07. Classical and Quantum Gravity, 27 (11) p. 114101. Peer-reviewed.
[DOI][WoS][serval:BIB_9C86CBD0FDE7]
 
The influence of model parameters on the prediction of gravitational wave signals from stellar core collapse
Scheidegger S., Käppeli R., Whitehouse S. C., Fischer T., Liebendörfer M., 2010/05. Astronomy and Astrophysics, 514 pp. A51. Peer-reviewed.
[DOI][WoS][serval:BIB_F6DC07F585BE]
 
Neutrino Radiation-Hydrodynamics: General Relativistic versus Multidimensional Supernova Simulations
Liebendörfer M., Fischer T., Hempel M., Käppeli R., Pagliara G., Perego A., Sagert I., Schaffner-Bielich J., Scheidegger S., Thielemann F.-K. et al., 2010. Progress of Theoretical Physics Supplement, 186 pp. 87-92. Peer-reviewed.
[DOI][serval:BIB_63AEEA2985DB]
2009
 
Supernovae as Nuclear and Particle Physics Laboratories
Liebendörfer M., Fischer T., Hempel M., Mezzacappa A., Pagliara G., Sagert I., Schaffner-Bielich J., Scheidegger S., Thielemann F.-K., Whitehouse S.C., 2009/08. Nuclear Physics A, 827 (1-4) pp. 573c-578c. Peer-reviewed.
[DOI][WoS][serval:BIB_1483B666553B]
2008
 
Gravitational waves from 3D MHD core collapse simulations
Scheidegger S., Fischer T., Whitehouse S. C., Liebendörfer M., 2008/10. Astronomy & Astrophysics, 490 (1) pp. 231-241. Peer-reviewed.
[DOI][WoS][serval:BIB_69DAC2AFCFF3]
 
Nuclear physics in core-collapse supernovae
Liebendörfer M., Fischer T., Fröhlich C., Hix W.R., Langanke K., Martinez-Pinedo G., Mezzacappa A., Scheidegger S., Thielemann F.-K., Whitehouse S.C., 2008/10. New Astronomy Reviews, 52 (7-10) pp. 373-376. Peer-reviewed.
[DOI][WoS][serval:BIB_583CEA430C30]
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