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Heidelberg: Physica-Verlag; 2003."},"publisher":"Physica-Verlag","date_updated":"2022-01-06T06:59:13Z","date_created":"2018-06-27T12:30:25Z","author":[{"last_name":"Gries","id":"186","full_name":"Gries, Thomas","first_name":"Thomas"},{"last_name":"Jungmittag","full_name":"Jungmittag, Andre","first_name":"Andre"},{"full_name":"Welfens, Paul J.J.","last_name":"Welfens","first_name":"Paul J.J."}],"title":"Neue Wachstums- und Innovationspolitik in Europa"},{"status":"public","type":"journal_article","publication":"International Game Theory Review","extern":"1","user_id":"37339","department":[{"_id":"280"},{"_id":"475"}],"_id":"4161","citation":{"apa":"Hehenkamp, B. (2003). Equilibrium Selection in the Two-Population KMR Model. <i>International Game Theory Review</i>, <i>05</i>(03), 249–262. <a href=\"https://doi.org/10.1142/s0219198903001045\">https://doi.org/10.1142/s0219198903001045</a>","mla":"Hehenkamp, Burkhard. “Equilibrium Selection in the Two-Population KMR Model.” <i>International Game Theory Review</i>, vol. 05, no. 03, World Scientific Pub Co Pte Lt, 2003, pp. 249–62, doi:<a href=\"https://doi.org/10.1142/s0219198903001045\">10.1142/s0219198903001045</a>.","bibtex":"@article{Hehenkamp_2003, title={Equilibrium Selection in the Two-Population KMR Model}, volume={05}, DOI={<a href=\"https://doi.org/10.1142/s0219198903001045\">10.1142/s0219198903001045</a>}, number={03}, journal={International Game Theory Review}, publisher={World Scientific Pub Co Pte Lt}, author={Hehenkamp, Burkhard}, year={2003}, pages={249–262} }","short":"B. Hehenkamp, International Game Theory Review 05 (2003) 249–262.","chicago":"Hehenkamp, Burkhard. “Equilibrium Selection in the Two-Population KMR Model.” <i>International Game Theory Review</i> 05, no. 03 (2003): 249–62. <a href=\"https://doi.org/10.1142/s0219198903001045\">https://doi.org/10.1142/s0219198903001045</a>.","ieee":"B. Hehenkamp, “Equilibrium Selection in the Two-Population KMR Model,” <i>International Game Theory Review</i>, vol. 05, no. 03, pp. 249–262, 2003.","ama":"Hehenkamp B. 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Bidding for envy-freeness: A procedural approach to n-player fair-division problems. <i>Social Choice and Welfare</i>. 2002;19(4):723-749.","chicago":"Haake, Claus-Jochen, Matthias Raith, and Francis Edward Su. “Bidding for Envy-Freeness: A Procedural Approach to n-Player Fair-Division Problems.” <i>Social Choice and Welfare</i> 19, no. 4 (2002): 723–49.","ieee":"C.-J. Haake, M. Raith, and F. E. Su, “Bidding for envy-freeness: A procedural approach to n-player fair-division problems,” <i>Social Choice and Welfare</i>, vol. 19, no. 4, pp. 723–749, 2002.","apa":"Haake, C.-J., Raith, M., &#38; Su, F. E. (2002). Bidding for envy-freeness: A procedural approach to n-player fair-division problems. <i>Social Choice and Welfare</i>, <i>19</i>(4), 723–749.","bibtex":"@article{Haake_Raith_Su_2002, title={Bidding for envy-freeness: A procedural approach to n-player fair-division problems}, volume={19}, number={4}, journal={Social Choice and Welfare}, publisher={Springer}, author={Haake, Claus-Jochen and Raith, Matthias and Su, Francis Edward}, year={2002}, pages={723–749} }","short":"C.-J. Haake, M. Raith, F.E. Su, Social Choice and Welfare 19 (2002) 723–749.","mla":"Haake, Claus-Jochen, et al. “Bidding for Envy-Freeness: A Procedural Approach to n-Player Fair-Division Problems.” <i>Social Choice and Welfare</i>, vol. 19, no. 4, Springer, 2002, pp. 723–49."},"has_accepted_license":"1","publication_identifier":{"issn":["0176-1714","1432-217X"]},"volume":19,"author":[{"full_name":"Haake, Claus-Jochen","id":"20801","last_name":"Haake","first_name":"Claus-Jochen"},{"full_name":"Raith, Matthias","last_name":"Raith","first_name":"Matthias"},{"full_name":"Su, Francis Edward","last_name":"Su","first_name":"Francis Edward"}],"date_updated":"2022-01-06T06:56:42Z","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"5412","file_name":"Bidding_for_Envy_Freeness.pdf","file_size":199847,"creator":"stela","date_created":"2018-11-07T12:09:41Z","date_updated":"2018-11-07T12:09:41Z"}],"abstract":[{"text":"We develop a procedure for implementing an efficient and envy-free\r\nallocation of m objects among n individuals with the possibility of monetary\r\nside-payments,assuming that players have quasi–linear utility functions. The\r\nprocedure eliminates envy by compensating envious players. It is fully descriptive\r\nand says explicitly which compensations should be made,and in what\r\norder. Moreover,it is simple enough to be carried out without computer support.\r\nWe formally characterize the properties of the procedure,show how it\r\nestablishes envy-freeness with minimal resources,and demonstrate its application\r\nto a wide class of fair-division problems.","lang":"eng"}],"publication":"Social Choice and Welfare","language":[{"iso":"eng"}],"ddc":["040"],"year":"2002","issue":"4","title":"Bidding for envy-freeness: A procedural approach to n-player fair-division problems","date_created":"2018-04-26T10:10:58Z","publisher":"Springer"},{"status":"public","type":"journal_article","publication":"Computational Statistics & Data Analysis","extern":"1","language":[{"iso":"eng"}],"user_id":"10075","department":[{"_id":"206"}],"_id":"4617","citation":{"mla":"Beran, Jan, and Yuanhua Feng. “SEMIFAR Models—a Semiparametric Approach to Modelling Trends, Long-Range Dependence and Nonstationarity.” <i>Computational Statistics &#38; Data Analysis</i>, vol. 40, no. 2, Elsevier BV, 2002, pp. 393–419, doi:<a href=\"https://doi.org/10.1016/s0167-9473(02)00007-5\">10.1016/s0167-9473(02)00007-5</a>.","bibtex":"@article{Beran_Feng_2002, title={SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity}, volume={40}, DOI={<a href=\"https://doi.org/10.1016/s0167-9473(02)00007-5\">10.1016/s0167-9473(02)00007-5</a>}, number={2}, journal={Computational Statistics &#38; Data Analysis}, publisher={Elsevier BV}, author={Beran, Jan and Feng, Yuanhua}, year={2002}, pages={393–419} }","short":"J. Beran, Y. Feng, Computational Statistics &#38; Data Analysis 40 (2002) 393–419.","apa":"Beran, J., &#38; Feng, Y. (2002). SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity. <i>Computational Statistics &#38; Data Analysis</i>, <i>40</i>(2), 393–419. <a href=\"https://doi.org/10.1016/s0167-9473(02)00007-5\">https://doi.org/10.1016/s0167-9473(02)00007-5</a>","ieee":"J. Beran and Y. Feng, “SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity,” <i>Computational Statistics &#38; Data Analysis</i>, vol. 40, no. 2, pp. 393–419, 2002.","chicago":"Beran, Jan, and Yuanhua Feng. “SEMIFAR Models—a Semiparametric Approach to Modelling Trends, Long-Range Dependence and Nonstationarity.” <i>Computational Statistics &#38; Data Analysis</i> 40, no. 2 (2002): 393–419. <a href=\"https://doi.org/10.1016/s0167-9473(02)00007-5\">https://doi.org/10.1016/s0167-9473(02)00007-5</a>.","ama":"Beran J, Feng Y. 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Data-driven decomposition of seasonal time series. <i>Journal of Statistical Planning and Inference</i>. 2002;91(2):351-363. doi:<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>"},"year":"2002","issue":"2","publication_identifier":{"issn":["0378-3758"]},"publication_status":"published","doi":"10.1016/s0378-3758(00)00187-7","title":"Data-driven decomposition of seasonal time series","volume":91,"author":[{"first_name":"Siegfried","last_name":"Heiler","full_name":"Heiler, Siegfried"},{"first_name":"Yuanhua","full_name":"Feng, Yuanhua","id":"20760","last_name":"Feng"}],"date_created":"2018-10-10T11:20:48Z","publisher":"Elsevier BV","date_updated":"2022-01-06T07:01:15Z","status":"public","publication":"Journal of Statistical Planning and Inference","type":"journal_article","language":[{"iso":"eng"}],"extern":"1","department":[{"_id":"206"}],"user_id":"10075","_id":"4621"},{"issue":"2","publication_identifier":{"issn":["0169-2070"]},"publication_status":"published","page":"227-241","intvolume":"        18","citation":{"bibtex":"@article{Beran_Feng_Ghosh_Sibbertsen_2002, title={On robust local polynomial estimation with long-memory errors}, volume={18}, DOI={<a href=\"https://doi.org/10.1016/s0169-2070(01)00155-8\">10.1016/s0169-2070(01)00155-8</a>}, number={2}, journal={International Journal of Forecasting}, publisher={Elsevier BV}, author={Beran, Jan and Feng, Yuanhua and Ghosh, Sucharita and Sibbertsen, Philipp}, year={2002}, pages={227–241} }","mla":"Beran, Jan, et al. “On Robust Local Polynomial Estimation with Long-Memory Errors.” <i>International Journal of Forecasting</i>, vol. 18, no. 2, Elsevier BV, 2002, pp. 227–41, doi:<a href=\"https://doi.org/10.1016/s0169-2070(01)00155-8\">10.1016/s0169-2070(01)00155-8</a>.","short":"J. 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Local polynomial fitting with long-memory, short-memory and antipersistent errors. <i>The Annals of the Institute of Statistical Mathematics</i>. 2002;54(2):291-311.","chicago":"Beran, Jan, and Yuanhua Feng. “Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent Errors.” <i>The Annals of the Institute of Statistical Mathematics</i> 54, no. 2 (2002): 291–311.","ieee":"J. Beran and Y. Feng, “Local polynomial fitting with long-memory, short-memory and antipersistent errors,” <i>The Annals of the Institute of Statistical Mathematics</i>, vol. 54, no. 2, pp. 291–311, 2002.","apa":"Beran, J., &#38; Feng, Y. (2002). Local polynomial fitting with long-memory, short-memory and antipersistent errors. <i>The Annals of the Institute of Statistical Mathematics</i>, <i>54</i>(2), 291–311.","mla":"Beran, Jan, and Yuanhua Feng. “Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent Errors.” <i>The Annals of the Institute of Statistical Mathematics</i>, vol. 54, no. 2, 2002, pp. 291–311.","bibtex":"@article{Beran_Feng_2002, title={Local polynomial fitting with long-memory, short-memory and antipersistent errors}, volume={54}, number={2}, journal={The Annals of the Institute of Statistical Mathematics}, author={Beran, Jan and Feng, Yuanhua}, year={2002}, pages={291–311} }","short":"J. Beran, Y. Feng, The Annals of the Institute of Statistical Mathematics 54 (2002) 291–311."},"page":"291 - 311","intvolume":"        54","year":"2002","issue":"2","publication_status":"published","title":"Local polynomial fitting with long-memory, short-memory and antipersistent errors","author":[{"first_name":"Jan","last_name":"Beran","full_name":"Beran, Jan"},{"first_name":"Yuanhua","last_name":"Feng","full_name":"Feng, Yuanhua","id":"20760"}],"date_created":"2018-10-11T06:51:21Z","volume":54,"date_updated":"2022-01-06T07:01:16Z"},{"status":"public","publication":"Journal of Statistical Planning and Inference","type":"journal_article","_id":"4637","department":[{"_id":"206"},{"_id":"475"}],"user_id":"10075","year":"2002","intvolume":"        91","page":"351-363","citation":{"ama":"Heiler S, Feng Y. Data-driven decomposition of seasonal time series. <i>Journal of Statistical Planning and Inference</i>. 2002;91(2):351-363. doi:<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>","chicago":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” <i>Journal of Statistical Planning and Inference</i> 91, no. 2 (2002): 351–63. <a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">https://doi.org/10.1016/s0378-3758(00)00187-7</a>.","ieee":"S. Heiler and Y. Feng, “Data-driven decomposition of seasonal time series,” <i>Journal of Statistical Planning and Inference</i>, vol. 91, no. 2, pp. 351–363, 2002.","apa":"Heiler, S., &#38; Feng, Y. (2002). Data-driven decomposition of seasonal time series. <i>Journal of Statistical Planning and Inference</i>, <i>91</i>(2), 351–363. <a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">https://doi.org/10.1016/s0378-3758(00)00187-7</a>","short":"S. Heiler, Y. Feng, Journal of Statistical Planning and Inference 91 (2002) 351–363.","mla":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” <i>Journal of Statistical Planning and Inference</i>, vol. 91, no. 2, Elsevier BV, 2002, pp. 351–63, doi:<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>.","bibtex":"@article{Heiler_Feng_2002, title={Data-driven decomposition of seasonal time series}, volume={91}, DOI={<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>}, number={2}, journal={Journal of Statistical Planning and Inference}, publisher={Elsevier BV}, author={Heiler, Siegfried and Feng, Yuanhua}, year={2002}, pages={351–363} }"},"publication_identifier":{"issn":["0378-3758"]},"publication_status":"published","issue":"2","title":"Data-driven decomposition of seasonal time series","doi":"10.1016/s0378-3758(00)00187-7","date_updated":"2022-01-06T07:01:16Z","publisher":"Elsevier BV","volume":91,"author":[{"first_name":"Siegfried","last_name":"Heiler","full_name":"Heiler, Siegfried"},{"last_name":"Feng","id":"20760","full_name":"Feng, Yuanhua","first_name":"Yuanhua"}],"date_created":"2018-10-11T07:07:28Z"}]