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On the optimum capacity of capacity expansion problems

Yang, Chao; Hao, Chunyan; Zhang, Jianzhong - In: Mathematical methods of operations research 66 (2007) 2, pp. 225-233

Persistent link: https://www.econbiz.de/10003564126

Asymptotic variance and convergence rates of nearly-periodic Markow chain Monte Carlo algorithms

Rosenthal, Jeffrey S. - In: Journal of the American Statistical Association : JASA 98 (2003) 461, pp. 169-177

Persistent link: https://www.econbiz.de/10001754701

Appropriate technology and energy security : from the perspective of biased technological change

Yang, Zhenbing; Hao, Chunyan; Shuai, Shao; Chen, Zhuo; … - In: Technological forecasting & social change : an … 177 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10013342880

Finding generators for Markov chains via empirical transition matrices, with applications to credit ratings

Israel, Robert B.; Rosenthal, Jeffrey S.; Wei, Jason - In: Mathematical finance : an international journal of … 11 (2001) 2, pp. 245-265

Persistent link: https://www.econbiz.de/10001650927

Capitalism's growth imperative

Gordon, Myron J.; Rosenthal, Jeffrey S. - In: Cambridge journal of economics 27 (2003) 1, pp. 25-48

Persistent link: https://www.econbiz.de/10001729408

Learn from the neighbor : parallel-chain and regional adaptive MCMC

Craiu, Radu V.; Rosenthal, Jeffrey S.; Yang, Chao - In: Journal of the American Statistical Association : JASA 104 (2009) 488, pp. 1454-1466

Persistent link: https://www.econbiz.de/10003992995

Meetings with costly participation

Osborne, Martin J.; Rosenthal, Jeffrey S.; Turner, Matt - In: The American economic review 90 (2000) 4, pp. 927-943

Persistent link: https://www.econbiz.de/10001521124

Meetings with costly participation : comment

De Sinopoli, Francesco; Iannantuoni, Giovanna - In: The American economic review 95 (2005) 4, pp. 1349-1350

Persistent link: https://www.econbiz.de/10003203296

Meetings with costly participation : a comment

De Sinopoli, Francesco (contributor); … - 2004

Persistent link: https://www.econbiz.de/10003422058

Bayesian Computation Via Markov Chain Monte Carlo

Craiu, Radu - 2014

Markov chain Monte Carlo (MCMC) algorithms are an indispensable tool for performing Bayesian inference. This review discusses widely used sampling algorithms and illustrates their implementation on a probit regression model for lupus data. The examples considered highlight the importance of...

Persistent link: https://www.econbiz.de/10013057539