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Journal of the American Statistical Association Volume 104, 2009 - Issue 487
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Theory and Methods

The Multiset Sampler

Scotland C. Leman Scotland C. Leman is Assistant Professor of Statistics, Department of Statistics, Virginia Polytechnic Institute, Blacksburg, VA 24061 . Yuguo Chen is Associate Professor of Statistics, Department of Statistics, University of Illinois at Urbana–Champaign, Champaign, IL 61820 . Michael Lavine is Professor of Mathematics and Statistics, Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 01002 . This work was supported by National Science Foundation grants DMS-0503981 and DMS-0806175. The authors thank the editor, associate editor, and three anonymous referees for their careful reading and helpful suggestions.
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Yuguo Chen Scotland C. Leman is Assistant Professor of Statistics, Department of Statistics, Virginia Polytechnic Institute, Blacksburg, VA 24061 . Yuguo Chen is Associate Professor of Statistics, Department of Statistics, University of Illinois at Urbana–Champaign, Champaign, IL 61820 . Michael Lavine is Professor of Mathematics and Statistics, Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 01002 . This work was supported by National Science Foundation grants DMS-0503981 and DMS-0806175. The authors thank the editor, associate editor, and three anonymous referees for their careful reading and helpful suggestions.
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Michael Lavine Scotland C. Leman is Assistant Professor of Statistics, Department of Statistics, Virginia Polytechnic Institute, Blacksburg, VA 24061 . Yuguo Chen is Associate Professor of Statistics, Department of Statistics, University of Illinois at Urbana–Champaign, Champaign, IL 61820 . Michael Lavine is Professor of Mathematics and Statistics, Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 01002 . This work was supported by National Science Foundation grants DMS-0503981 and DMS-0806175. The authors thank the editor, associate editor, and three anonymous referees for their careful reading and helpful suggestions.
Pages 1029-1041 | Received 01 Jan 2008, Published online: 01 Jan 2012

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Andrew Hoegh, Dipayan Maiti & Scotland Leman. (2018) Multiset Model Selection. Journal of Computational and Graphical Statistics 27:2, pages 436-448.
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Weihong Huang, Juan Shen & Yuguo Chen. (2018) The Self-Multiset Sampler. Journal of Computational and Graphical Statistics 27:1, pages 34-47.
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Anand Dixit & Vivekananda Roy. (2017) MCMC diagnostics for higher dimensions using Kullback Leibler divergence. Journal of Statistical Computation and Simulation 87:13, pages 2622-2638.
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Hang J. Kim & Steven N. MacEachern. (2015) The Generalized Multiset Sampler. Journal of Computational and Graphical Statistics 24:4, pages 1134-1154.
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Vanja Dukic, HedibertF. Lopes & NicholasG. Polson. (2012) Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model. Journal of the American Statistical Association 107:500, pages 1410-1426.
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Yang Yang, M. Elizabeth Halloran, Michael J. Daniels, Ira M. Longini$suffix/text()$suffix/text(), Donald S. Burke & Derek A. T. Cummings. (2010) Modeling Competing Infectious Pathogens From a Bayesian Perspective: Application to Influenza Studies With Incomplete Laboratory Results. Journal of the American Statistical Association 105:492, pages 1310-1322.
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Articles from other publishers (10)

Hyukpyo Hong, Mark Jayson Cortez, Yu-Yu Cheng, Hang Joon Kim, Boseung Choi, Krešimir Josić & Jae Kyoung Kim. (2023) Inferring delays in partially observed gene regulation processes. Bioinformatics 39:11.
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Vivekananda Roy. (2020) Convergence Diagnostics for Markov Chain Monte Carlo. Annual Review of Statistics and Its Application 7:1, pages 387-412.
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Luca Martino. (2018) A review of multiple try MCMC algorithms for signal processing. Digital Signal Processing 75, pages 134-152.
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Marcos Carzolio & Scotland Leman. (2017) Weighted particle tempering. Computational Statistics & Data Analysis 114, pages 26-37.
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Weihong Huang & Yuguo Chen. (2017) The multiset EM algorithm. Statistics & Probability Letters 126, pages 41-48.
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Matthew T. Pratola. (2016) Rejoinder. Bayesian Analysis 11:3.
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Oksana A. Chkrebtii, Rafael B. Stern, Francisco Louzada, Scotland Leman, Andrew Hoegh, Reihaneh Entezari, Radu V. Craiu, Jeffrey S. Rosenthal, Abdolreza Mohammadi, Maurits Kaptein & Luca Martino. (2016) Contributed Discussion on Article by Pratola. Bayesian Analysis 11:3.
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Faming Liang. (2014) An Overview of Stochastic Approximation Monte Carlo. Wiley Interdisciplinary Reviews: Computational Statistics 6:4, pages 240-254.
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Yuguo Chen. (2012) A theory for the multiset sampler. Statistics & Probability Letters 82:3, pages 473-477.
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Vanja M. Dukic, Hedibert F. Lopes & Nick Polson. (2009) Tracking Flu Epidemics Using Google Flu Trends and Particle Learning. SSRN Electronic Journal.
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