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pro vyhledávání: '"Valaitis, Vytautas"'
Autor:
Valaitis, Vytautas1 (AUTHOR) v.valaitis@surrey.ac.uk, Villa, Alessandro T.2 (AUTHOR) alessandro.villa@chi.frb.org
Publikováno v:
Quantitative Economics. Jan2024, Vol. 15 Issue 1, p145-173. 29p.
Akademický článek
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In the wake of rising inflation in the aftermath of unprecedented debt financed stimulus packages, we ask: Can governments use real bonds (TIPS) as part of their debt portfolio to commit to stable inflation rates? We propose a novel framework of opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::406b5966f4cbf9bfbbbe67873336ec84
https://hdl.handle.net/10419/267978
https://hdl.handle.net/10419/267978
This paper develops a simulation-based solution method to solve large state space macrofinance models using machine learning. We use a neural network (NN) to approximate the expectations in the optimality conditions in the spirit of the stochastic pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::2a1904ad256e3c9e0618a231b8cdb3dc
https://hdl.handle.net/10419/264333
https://hdl.handle.net/10419/264333
Elevated government debt in the wake of unprecedented stimulus packages increasingly raise concerns about a looming return of inflation, as governments may be tempted to monetize debt. In this paper, we examine optimal debt management in the presence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac8f1e3255d73d18cee9b3b2f8330b8
Autor:
Valaitis, Vytautas
This thesis focuses on nature-based algorithms to solve inverse kinematics and motion planning tasks of robotic systems and serial manipulators. Motions in nature can be classified to reflexes, partially and fully coordinated motions. Important step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35a158092e48df3f44db1016876de3d1
https://repository.vu.lt/VU:ELABAETD19830146&prefLang=en_US
https://repository.vu.lt/VU:ELABAETD19830146&prefLang=en_US
Autor:
Valaitis, Vytautas
This thesis focuses on nature-based algorithms to solve inverse kinematics and motion planning tasks of robotic systems and serial manipulators. Motions in nature can be classified to reflexes, partially and fully coordinated motions. Important step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::307b1a2dd62efde5fad6adfb88d3b71a
https://repository.vu.lt/VU:ELABAETD19830173&prefLang=en_US
https://repository.vu.lt/VU:ELABAETD19830173&prefLang=en_US
Rough-terrain traversability is one of the most valuable characteristics of walking robots. Even despite their slower speeds and more complex control algorithms, walking robots have far wider usability than wheeled or tracked robots. However, efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2495::748fee0e68154b458066e05bfb32f64f
http://dspace.vgtu.lt/handle/1/3267
http://dspace.vgtu.lt/handle/1/3267
Publikováno v:
Vilnius University Proceedings; 2023, Vol. 39, p35-35, 1p
Autor:
Benetis, Algirdas, Valaitis, Vytautas
Publikováno v:
Vilnius University Proceedings; 2023, Vol. 39, p10-10, 1p