Letteratura scientifica selezionata sul tema "Gibbs sampler"
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Articoli di riviste sul tema "Gibbs sampler"
Ritter, Christian, e Martin A. Tanner. "Facilitating the Gibbs Sampler: The Gibbs Stopper and the Griddy-Gibbs Sampler". Journal of the American Statistical Association 87, n. 419 (settembre 1992): 861–68. http://dx.doi.org/10.1080/01621459.1992.10475289.
Testo completoShao, Wei, Guo Qing Zhao e Yu Jie Gai. "Mixture Normal Distribution for Gibbs Sampler and its Application in the Surface of Single Crystal". Advanced Materials Research 529 (giugno 2012): 585–89. http://dx.doi.org/10.4028/www.scientific.net/amr.529.585.
Testo completoMacEachern, Steven N., e L. Mark Berliner. "Subsampling the Gibbs Sampler". American Statistician 48, n. 3 (agosto 1994): 188. http://dx.doi.org/10.2307/2684714.
Testo completoCasella, George, e Edward I. George. "Explaining the Gibbs Sampler". American Statistician 46, n. 3 (agosto 1992): 167. http://dx.doi.org/10.2307/2685208.
Testo completoThompson, W. A., L. A. Newberg, S. Conlan, L. A. McCue e C. E. Lawrence. "The Gibbs Centroid Sampler". Nucleic Acids Research 35, Web Server (8 maggio 2007): W232—W237. http://dx.doi.org/10.1093/nar/gkm265.
Testo completoCasella, George, e Edward I. George. "Explaining the Gibbs Sampler". American Statistician 46, n. 3 (agosto 1992): 167–74. http://dx.doi.org/10.1080/00031305.1992.10475878.
Testo completoMaceachern, Steven N., e L. Mark Berliner. "Subsampling the Gibbs Sampler". American Statistician 48, n. 3 (agosto 1994): 188–90. http://dx.doi.org/10.1080/00031305.1994.10476054.
Testo completoZellner, Arnold, e Chung-Ki Min. "Gibbs Sampler Convergence Criteria". Journal of the American Statistical Association 90, n. 431 (settembre 1995): 921–27. http://dx.doi.org/10.1080/01621459.1995.10476591.
Testo completoUtsugi, Akio, e Toru Kumagai. "Bayesian Analysis of Mixtures of Factor Analyzers". Neural Computation 13, n. 5 (1 maggio 2001): 993–1002. http://dx.doi.org/10.1162/08997660151134299.
Testo completoSamawi, Hani M., Martin Dunbar e Ding-Geng (Din) Chen. "Steady-state ranked Gibbs sampler". Journal of Statistical Computation and Simulation 82, n. 8 (agosto 2012): 1223–38. http://dx.doi.org/10.1080/00949655.2011.575378.
Testo completoTesi sul tema "Gibbs sampler"
Chimisov, Cyril. "Adapting the Gibbs sampler". Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/108829/.
Testo completoPang, Wan-Kai. "Modelling ordinal categorical data : a Gibbs sampler approach". Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323876.
Testo completoFair, Shannon Marie. "A Bayesian Meta-Analysis Using the Gibbs Sampler". UNF Digital Commons, 1998. http://digitalcommons.unf.edu/etd/87.
Testo completoZhang, Zuoshun. "Proper posterior distributions for some hierarchical models and roundoff effects in the Gibbs sampler /". Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.
Testo completoTan, Aixin. "Convergence rates and regeneration of the block Gibbs sampler for Bayesian random effects models". [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024910.
Testo completoAl-Hamzawi, Rahim Jabbar Thaher. "Prior elicitation and variable selection for bayesian quantile regression". Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7501.
Testo completoYankovskyy, Yevhen. "Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming". Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1010.
Testo completoXu, Zhiqing. "Bayesian Inference of a Finite Population under Selection Bias". Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/621.
Testo completoPlassmann, Florenz. "The Impact of Two-Rate Taxes on Construction in Pennsylvania". Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30622.
Testo completoThe first part of the dissertation examines the effect of the land-building tax differential on the number of building permits that were issued in 219 municipalities in Pennsylvania between 1972 and 1994. For such count data a conventional analysis based on a continuous distribution leads to incorrect results; a discrete maximum likelihood analysis with a negative binomial distribution is more appropriate. Two models, a non-linear and a fixed effects model, are developed to examine the influence of the tax differential. Both models suggest that this influence is positive, albeit not statistically significant.
Application of maximum likelihood techniques is computationally cumbersome if the assumed distribution of the data cannot be written in closed form. The negative binomial distribution is the only discrete distribution with a variance that is larger than its mean that can easily be applied, although it might not be the best approximation of the true distribution of the data. The second part of the dissertation uses a Markov Chain Monte Carlo method to examine the influence of the tax differential on the number of building permits, under the assumption that building permits are generated by a Poisson process whose parameter varies lognormally. Contrary to the analysis in the first part, the tax is shown to have a strong and significantly positive impact on the number of permits.
The third part of the dissertation uses a fixed-effects weighted least squares method to estimate the effect of the tax differential on the value per building permit. The tax coefficient is not significantly different from zero. Still, the overall impact of the tax differential on the total value of construction is shown to be positive and statistically significant.
Ph. D.
Cao, Jun. "A Random-Linear-Extension Test Based on Classic Nonparametric Procedures". Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/48271.
Testo completoPh.D.
Most distribution free nonparametric methods depend on the ranks or orderings of the individual observations. This dissertation develops methods for the situation when there is only partial information about the ranks available. A random-linear-extension exact test and an empirical version of the random-linear-extension test are proposed as a new way to compare groups of data with partial orders. The basic computation procedure is to generate all possible permutations constrained by the known partial order using a randomization method similar in nature to multiple imputation. This random-linear-extension test can be simply implemented using a Gibbs Sampler to generate a random sample of complete orderings. Given a complete ordering, standard nonparametric methods, such as the Wilcoxon rank-sum test, can be applied, and the corresponding test statistics and rejection regions can be calculated. As a direct result of our new method, a single p-value is replaced by a distribution of p-values. This is related to some recent work on Fuzzy P-values, which was introduced by Geyer and Meeden in Statistical Science in 2005. A special case is to compare two groups when only two objects can be compared at a time. Three matching schemes, random matching, ordered matching and reverse matching are introduced and compared between each other. The results described in this dissertation provide some surprising insights into the statistical information in partial orderings.
Temple University--Theses
Libri sul tema "Gibbs sampler"
Kuo, Lynn. Bayesian computations in survival models via the Gibbs sampler. Monterey, Calif: Naval Postgraduate School, 1991.
Cerca il testo completoCanty, Angelo. A system to test for convergence of the Gibbs sampler. Toronto: [s.n.], 1994.
Cerca il testo completoGibbs, Alison. Bounding convergence time of the Gibbs sampler in Bayesian image restoration. Toronto: University of Toronto, Dept. of Statistics, 1998.
Cerca il testo completoRosenthal, Jeffrey S. Analysis of the Gibbs sampler for a model related to James-Stein estimators. [Toronto]: University of Toronto, Dept. of Statistics, 1994.
Cerca il testo completoRoberts, Gareth O. On convergence rates of Gibbs samplers for uniform distributions. [Toronto: University of Toronto, 1997.
Cerca il testo completoCanty, Angelo. A system to test for convergence of Gibbs Sampler. 1995.
Cerca il testo completoJun, Liu. Correlation structure and convergence rate of the Gibbs sampler. 1991.
Cerca il testo completoSuess, Eric A., e Bruce E. Trumbo. Gibbs Sampling and Screening Tests: From Random Numbers to the Gibbs Sampler (Springer Texts in Statistics). Springer, 2006.
Cerca il testo completoAdvances in full-information item factor analysis using the Gibbs sampler. 1993.
Cerca il testo completoJandaghi, Gholamreza. Monte Carlo estimation of the distributions of the pedigree likelihood, the score statistic and the likelihood ratio statistic using the Gibbs Sampler. 1994.
Cerca il testo completoCapitoli di libri sul tema "Gibbs sampler"
Armstrong, Margaret, Alain G. Galli, Gaëlle Le Loc’h, François Geffroy e Rémi Eschard. "Gibbs Sampler". In Plurigaussian Simulations in Geosciences, 77–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-12718-6_6.
Testo completoArmstrong, Margaret, Alain Galli, Hélène Beucher, Gaëlle Le Loc’h, Didier Renard, Brigitte Doligez, Rémi Eschard e François Geffroy. "Gibbs Sampler". In Plurigaussian Simulations in Geosciences, 107–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19607-2_7.
Testo completoXia, Xuhua. "Gibbs sampler". In Bioinformatics and the Cell, 99–111. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90684-3_4.
Testo completoLiu, Jun S. "The Gibbs Sampler". In Springer Series in Statistics, 129–51. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-76371-2_6.
Testo completoRobert, Christian P., e George Casella. "The Gibbs Sampler". In Springer Texts in Statistics, 285–361. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3071-5_7.
Testo completoTanner, Martin A. "The Gibbs Sampler". In Tools for Statistical Inference, 89–107. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4684-0510-1_6.
Testo completoRobert, Christian P., e George Casella. "The Multi-Stage Gibbs Sampler". In Springer Texts in Statistics, 371–424. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4145-2_10.
Testo completoRobert, Christian P., e George Casella. "The Two-Stage Gibbs Sampler". In Springer Texts in Statistics, 337–70. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4145-2_9.
Testo completoBarbu, Adrian, e Song-Chun Zhu. "Gibbs Sampler and Its Variants". In Monte Carlo Methods, 97–121. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-2971-5_5.
Testo completoKeith, Jonathan, George Sofronov e Dirk Kroese. "The Generalized Gibbs Sampler and the Neighborhood Sampler". In Monte Carlo and Quasi-Monte Carlo Methods 2006, 537–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74496-2_31.
Testo completoAtti di convegni sul tema "Gibbs sampler"
Webb, Jon A. "Accurate halftoning using the Gibbs sampler". In EI 92, a cura di James R. Sullivan, Benjamin M. Dawson e Majid Rabbani. SPIE, 1992. http://dx.doi.org/10.1117/12.58335.
Testo completoSimandl, Miroslav, e Tomas Soukup. "Gibbs sampler to stochastic volatility models". In 2001 European Control Conference (ECC). IEEE, 2001. http://dx.doi.org/10.23919/ecc.2001.7076061.
Testo completoAi, Hua, Yang Lu e Wenbin Guo. "Distributed Bayesian Compressive Sensing using Gibbs sampler". In 2012 International Conference on Wireless Communications & Signal Processing (WCSP 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcsp.2012.6542872.
Testo completoLu Ling-yun, Xiao Yang e Du Hai-feng. "Adaptive multiuser detection based on Gibbs sampler". In IET 2nd International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080982.
Testo completoBlunsom, Phil, Trevor Cohn, Chris Dyer e Miles Osborne. "A Gibbs sampler for phrasal synchronous grammar induction". In the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690219.1690256.
Testo completoOrieux, F., O. Feron e J. F. Giovannelli. "Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems". In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178739.
Testo completoWalker, Daniel David, e Eric K. Ringger. "Model-based document clustering with a collapsed gibbs sampler". In the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401975.
Testo completoSari, Ilkay, Erchin Serpedin e Bruce Suter. "Application of Gibbs Sampler for Clock Synchronization in Rbs-Protocol". In MILCOM 2006. IEEE, 2006. http://dx.doi.org/10.1109/milcom.2006.302368.
Testo completoKail, Georg, Jean-Yves Tourneret, Franz Hlawatsch e Nicolas Dobigeon. "A partially collapsed Gibbs sampler for parameters with local constraints". In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495806.
Testo completoJinghua Gu, Chen Wang, Le-Ming Shih, Tian-Li Wang, Yue Wang, R. Clarke e Jianhua Xuan. "GIST: A Gibbs sampler to identify intracellular signal transduction pathways". In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090677.
Testo completoRapporti di organizzazioni sul tema "Gibbs sampler"
Raftery, Adrian E., e Steven Lewis. How Many Iterations in the Gibbs Sampler? Fort Belvoir, VA: Defense Technical Information Center, settembre 1991. http://dx.doi.org/10.21236/ada640705.
Testo completoKuo, Lynn, e Adrian F. Smith. Bayesian Computations in Survival Models via the Gibbs Sampler. Fort Belvoir, VA: Defense Technical Information Center, luglio 1991. http://dx.doi.org/10.21236/ada242343.
Testo completoWakefield, J. C., A. F. Smith, A. Racine-Poon e A. E. Gelfand. Bayesian Analysis of Linear and Nonlinear Population Models Using the Gibbs Sampler. Fort Belvoir, VA: Defense Technical Information Center, luglio 1992. http://dx.doi.org/10.21236/ada254769.
Testo completoRaftery, Adrian E., Steven Lewis e Jeffrey D. Banfield. Three Short Papers on Sampling-Based Inference: 1. How Many Iterations in the Gibbs Sampler? 2. Model Determination. 3. Spatial Statistics. Fort Belvoir, VA: Defense Technical Information Center, giugno 1991. http://dx.doi.org/10.21236/ada241409.
Testo completoCheng, Hao, Rohan L. Fernando e Dorian J. Garrick. Three Different Gibbs Samplers for BayesB Genomic Prediction. Ames (Iowa): Iowa State University, gennaio 2014. http://dx.doi.org/10.31274/ans_air-180814-1152.
Testo completo