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Найдено 3 666 публикаций
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Препринт
Gorsky E., Negut A., Rasmussen J. math. arxive. Cornell University, 2016
Добавлено: 19 сентября 2016
Препринт
Verbitsky M., Vuletescu V., Ornea L. math. arxive. Cornell University, 2018
Добавлено: 5 декабря 2018
Препринт
Gayfullin S., Шафаревич А. А. math. arxive. Cornell University, 2018. No. arXiv:1805.05024.
Добавлено: 1 сентября 2018
Препринт
Gayfullin S. math. arxive. Cornell University, 2018
Добавлено: 6 декабря 2018
Препринт
Bondal A. I., Bodzenta A. arxiv.org. math. Cornell University, 2015
Добавлено: 20 ноября 2015
Препринт
Lakshina V. V. Financial Economics. FE. Высшая школа экономики, 2014. No. 37.
Добавлено: 2 октября 2014
Препринт
Vlasova R.M., Pechenkova E., Sinitsyn V. Humanities. HUM. Basic Research Programme, 2013. No. 2.
Добавлено: 18 ноября 2013
Препринт
Gordin V. A., Bykov P. SCIENCE, TECHNOLOGY, INNOVATION. SCIENCE, TECHNOLOGY, INNOVATION. НИУ ВШЭ, 2015
В этой работе представлен метод и вычислительная технология прогнозирования выездов "Скорой помощи". Мы использовали статистическую информацию о числе вызовов в период 2009 - 2013, метеорологический архив и соответствующий архив метеорологических прогнозов за этот период. Мы принимаем во внимание одновременно социальные и метеорологические предикторы. Метод может быть использован оперативно для планирования работы службы "Скорой помощи". Он применим как к числу всех выездов, так и для отдельных подгрупп диагнозов. Метод и технология могут быть применены для любого мегаполиса, относительно которого доступна соответствующая медицинская и метеорологическая информация.
Добавлено: 29 марта 2015
Препринт
Maksimov A.G., Shchurupova D.V. SSRN Working Paper Series. SSRN Working Paper Series. Social Science Research Network, 2016
Добавлено: 15 января 2017
Препринт
Demeshev B., Malakhovskaya O. A. Basic research program. WP BRP. National Research University Higher School of Economics, 2015. No. 105.
Добавлено: 23 октября 2015
Препринт
Milshina Y., Vishnevskiy K., Pavlova D. SCIENCE, TECHNOLOGY, INNOVATION. SCIENCE, TECHNOLOGY, INNOVATION. НИУ ВШЭ, 2019
Добавлено: 29 ноября 2019
Препринт
Ivashchenko S., Gupta R. University of Pretoria, Department of Economics . University of Pretoria, Department of Economics . University of Pretoria, Department of Economics , 2016. No. 201659.
Добавлено: 9 ноября 2016
Препринт
Makarova E. A., Sokolova A. Management. MAN. Высшая школа экономики, 2012. No. 01.
The aim of this paper is to identify ways for improvement of the Foresight evaluation framework on the basis of analysis and systematisation of accumulated experience in the field of project management. The paper is based on a detailed literature review related to an evaluation of Foresight and traditional projects. The comparison of evaluation approaches allows to provide recommendations for Foresight evaluation framework improvement. The elements which can enrich Foresight evaluation process are the following: the development of an evaluation model; the extensive use of quantitative methods; the elaboration of evaluation scales; the inclusion of economic indicators into evaluation; and the provision of more openness and transparency for evaluation results. Given the importance of Foresight evaluation procedures and the lack of a commonly applied methodological approach, the value of this paper consists in identifying a Foresight evaluation framework and enriching it with elements of project management.
Добавлено: 28 августа 2012
Препринт
Vishnevskiy K., Meissner D., Egorova O. Science, Technology and Innovation. WP BRP. Высшая школа экономики, 2015. No.  45/STI/2015.
Добавлено: 17 августа 2015
Препринт
Lokshin M., Beegle K. Policy Research Working Paper. WPS. World Bank Group, 2006. No. 4018.
The authors estimate the economic losses related to the negative effect of smoking on wages in a context of a developing country. Using data from the 2005 Albania Living Standards Monitoring Survey, they jointly estimate a system of three equations: the smoking decision and two separate wage equations for smokers and nonsmokers. The results show that, after controlling for observed characteristics and taking into account unobserved heterogeneity in personal characteristics, smoking has a substantial negative impact on wages. On average smokers' wages are 20 percent lower than the wages of similar nonsmokers, providing strong evidence for the potential policy relevance of tobacco control initiatives for developing countries.
Добавлено: 14 ноября 2012
Препринт
Dymov Andrey, Kuksin S. arxiv.org. math. Cornell University, 2019
Добавлено: 14 августа 2019
Препринт
Dymov Andrey, Kuksin S. arxiv.org. math. Cornell University, 2019
Добавлено: 14 августа 2019
Препринт
Minina E. Education. EDU. Высшая школа экономики, 2019
Добавлено: 2 июля 2019
Препринт
Levando D. V. math. arxive. Cornell University, 2017. No. 1702.06922.
The paper defines a family of nested non-cooperative simultaneous finite games to study coalition structure formation with intra and inter-coalition externalities. Every game has two outcomes - an allocation of players over coalitions and a payoff profile for every player.  Every game in the family has an equilibrium in mixed strategies. The equilibrium can generate more than one coalition with a presence of intra and inter group externalities. These properties make it different from the Shapley value, strong Nash, coalition-proof equilibrium, core, kernel, nucleolus. The paper demonstrates some applications: non-cooperative cooperation, Bayesian game, stochastic games and construction of a non-cooperative criterion of coalition structure stability for studying focal points. An example demonstrates that a payoff profile in the Prisoners' Dilemma is non-informative to deduce a cooperation of players.
Добавлено: 26 февраля 2017
Препринт
Levando D. V. Documents de travail du Centre d’Economie de la Sorbonne. CES Working Papers. L'Université Paris 1 Panthéon-Sorbonne, 2017. No. 01491935.
The paper defines a family of nested non-cooperative simultaneous finite games to study coalition structure formation with intra and inter-coalition externalities. Every game has two outcomes - an allocation of players over coalitions and a payoff profile for every player. Every game in the family has an equilibrium in mixed strategies. The equilibrium can generate more than one coalition with a presence of intra and inter group externalities. These properties make it different from the Shapley value, strong Nash, coalition-proof equilibrium, core, kernel, nucleolus. The paper demonstrates some applications: non-cooperative cooperation, Bayesian game, stochastic games and construction of a non-cooperative criterion of coalition structure stability for studying focal points. An example demonstrates that a payoff profile in the Prisoners' Dilemma is non-informative to deduce a cooperation of players.
Добавлено: 20 апреля 2017
Препринт
Levando D. V. Working Papers. SSRN, 2017
Traditionally social sciences are interested in structuring people in multiple groups based on their individual preferences. This paper suggests an approach to this problem in the framework of a noncooperative game theory. Definition of a suggested finite game includes a family of nested simultaneous non-cooperative finite games with intra- and inter-coalition externalities. In this family, games differ by the size of maximum coalition, partitions and by coalition structure formation rules.  A result of every game consists of partition of players into coalitions and a payoff profile for every player. Every game in the family has an equilibrium in mixed strategies with possibly more than one coalition. The results of the game differ from those conventionally discussed in cooperative game theory, e.g. the Shapley value, strong Nash, coalition-proof equilibrium, core, kernel, nucleolus.  We discuss the following applications of the new game: cooperation as an allocation in one coalition, Bayesian games, stochastic games and construction of a non-cooperative criterion of coalition structure stability for studying focal points.
Добавлено: 3 мая 2017