{"id":635,"date":"2019-01-03T05:52:27","date_gmt":"2019-01-03T05:52:27","guid":{"rendered":"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/?post_type=chapter&p=635"},"modified":"2019-01-03T05:56:37","modified_gmt":"2019-01-03T05:56:37","slug":"gaussian-process-prior-for-non-parametric-regression","status":"publish","type":"chapter","link":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/chapter\/gaussian-process-prior-for-non-parametric-regression\/","title":{"rendered":"Gaussian Process Prior for Non-Parametric Regression"},"content":{"raw":"
\"epgp<\/a>\r\n<\/span><\/div>\r\n\"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\"\r\n\r\n \r\n\r\n\r\n\r\n
You can view video on Gaussian Process Prior for Non-Parametric Regression<\/strong><\/td>\r\n\"\"<\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n \r\n\r\nReference<\/strong>\r\n
    \r\n \t
  1. Beayesian Data Analysis\u201d, 3rd Edition, By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin.<\/li>\r\n \t
  2. Bayesian Statistics: An Introduction\u201d, By Peter Lee, 4th Edition, ISBN: 978-1-118-33257-3.<\/li>\r\n \t
  3. Monte Carlo Statistical Methods, By Robert, Christian P. and George Casella. 2004. , 2nd edition. Springer.<\/li>\r\n \t
  4. MCMCpack: Markov Chain Monte Carlo in R.\u201d, (2011), Andrew D. Martin, Kevin M. Quinn, and Jong HeePark,Journal of Statistical Software. 42(9): 1-21.<\/li>\r\n \t
  5. Applied Bayesian Modeling\u201d By Peter Congdon, 2nd Edition,Wiley,. ISBN: 978-1-119-95151-3<\/li>\r\n \t
  6. Bayes Linear Statistics, Theory Methods\u201d. By Goldstein,Michael; Woo, David (2007). Wiley. ISBN978-0-470-01562-9.<\/li>\r\n \t
  7. Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley.<\/li>\r\n \t
  8. Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.<\/li>\r\n \t
  9. Albert, J. H. and S. Chib. 1993. \\Bayesian Analysis of Binaryand Polychotomous Response Data.\u201dJ. Amer. Statist. Assoc.88, 669-679.<\/li>\r\n \t
  10. Albert, J. H. and S. Chib. 1995. \\Bayesian Residual Analysisfor Binary Response Regression Models.\u201d Biometrika. 82,747-759.<\/li>\r\n \t
  11. Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. \u201cMCMCpack: Markov Chain Monte Carlo in R.\u201d,Journal of Statistical Software. 42(9): 1-21.http:\/\/www.jstatsoft.org\/v42\/i09\/I<\/li>\r\n \t
  12. Siddhartha Chib. 1995. \\Marginal Likelihood from the Gibbs Output.\u201dJournal of the American Statistical Association.90:1313-1321.<\/li>\r\n \t
  13. \r\n
    Peter E. Rossi, Greg M. Allenby and Rob McCulloch, Bayesian Statistics and Marketing (2005), Wiley-Interscience, New York, NY.<\/div><\/li>\r\n \t
  14. Adelino F. da Silva, cudaBayesreg: Bayesian Computation inCUDA (2010), The R Journal, Vol. 2\/2, 48-55. http:\/\/journal.r-project.org\/archive\/2010-2\/RJournal_2010-2_FerreiradaSilva.pdf<\/li>\r\n \t
  15. King, Gary, James Honaker, Anne Joseph and Kenneth Scheve. 2001. \\Analyzing incomplete political science data:An alternative algorithm for multiple imputation.\u201dAmerican Political Science Review95 (1, March):49{69.http:\/\/gking.harvard.edu\/files\/abs\/evil-abs.shtml.<\/li>\r\n \t
  16. King, Gary, Michael Tomz and Jason Wittenberg. 2000.\\Making the most of statistical analyses: Improving interpretation and presentation.\u201dAmerican Journal of Political Science 44(2, April): 341 {355.http:\/\/gking.harvard.edu\/files\/abs\/making-abs.shtml.<\/li>\r\n \t
  17. Honaker, James, Anne Joseph, Gary King, Kenneth Scheveand Nau- nihal Singh. 1998-2002. \\AMELIA: A program formissing data\u201d.http:\/\/gking.harvard.edu\/amelia.<\/li>\r\n \t
  18. Honaker, James, Anne Joseph, Gary King, Kenneth Scheveand Nau- nihal Singh. 1998-2002. \\AMELIA: A program formissing data\u201d.http:\/\/gking.harvard.edu\/amelia.<\/li>\r\n \t
  19. Sethuraman, J. (1994). \\A constructive denition of Dirichletpriors.\u201dStatistica Sinica, 4:639{650.10<\/li>\r\n \t
  20. Thomas S. Ferguson. \\A Bayesian Analysis of Some Nonparametric Problems\u201d,Annals of Statistics, 1(2), 1973,209-230.<\/li>\r\n \t
  21. David Blackwell and James B. MacQueen. \\Ferguson Distributions via PolyaUrn Schemes\u201dAnnals of Statistics1(2),1973, 353-355.<\/li>\r\n \t
  22. C. E. Rasmussen C. K. I. Williams,Gaussian Processes for Machine Learning, the MIT Press, 2006 ISBN 026218253X,www.GaussianProcess.org\/gpml<\/li>\r\n<\/ol>","rendered":"
    \"epgp<\/a>
    \n<\/span><\/div>\n

    \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\" \"\"<\/p>\n

     <\/p>\n\n\n\n
    You can view video on Gaussian Process Prior for Non-Parametric Regression<\/strong><\/td>\n\"\"<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

     <\/p>\n

    Reference<\/strong><\/p>\n

      \n
    1. Beayesian Data Analysis\u201d, 3rd Edition, By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin.<\/li>\n
    2. Bayesian Statistics: An Introduction\u201d, By Peter Lee, 4th Edition, ISBN: 978-1-118-33257-3.<\/li>\n
    3. Monte Carlo Statistical Methods, By Robert, Christian P. and George Casella. 2004. , 2nd edition. Springer.<\/li>\n
    4. MCMCpack: Markov Chain Monte Carlo in R.\u201d, (2011), Andrew D. Martin, Kevin M. Quinn, and Jong HeePark,Journal of Statistical Software. 42(9): 1-21.<\/li>\n
    5. Applied Bayesian Modeling\u201d By Peter Congdon, 2nd Edition,Wiley,. ISBN: 978-1-119-95151-3<\/li>\n
    6. Bayes Linear Statistics, Theory Methods\u201d. By Goldstein,Michael; Woo, David (2007). Wiley. ISBN978-0-470-01562-9.<\/li>\n
    7. Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley.<\/li>\n
    8. Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.<\/li>\n
    9. Albert, J. H. and S. Chib. 1993. \\Bayesian Analysis of Binaryand Polychotomous Response Data.\u201dJ. Amer. Statist. Assoc.88, 669-679.<\/li>\n
    10. Albert, J. H. and S. Chib. 1995. \\Bayesian Residual Analysisfor Binary Response Regression Models.\u201d Biometrika. 82,747-759.<\/li>\n
    11. Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. \u201cMCMCpack: Markov Chain Monte Carlo in R.\u201d,Journal of Statistical Software. 42(9): 1-21.http:\/\/www.jstatsoft.org\/v42\/i09\/I<\/li>\n
    12. Siddhartha Chib. 1995. \\Marginal Likelihood from the Gibbs Output.\u201dJournal of the American Statistical Association.90:1313-1321.<\/li>\n
    13. \n
      Peter E. Rossi, Greg M. Allenby and Rob McCulloch, Bayesian Statistics and Marketing (2005), Wiley-Interscience, New York, NY.<\/div>\n<\/li>\n
    14. Adelino F. da Silva, cudaBayesreg: Bayesian Computation inCUDA (2010), The R Journal, Vol. 2\/2, 48-55. http:\/\/journal.r-project.org\/archive\/2010-2\/RJournal_2010-2_FerreiradaSilva.pdf<\/li>\n
    15. King, Gary, James Honaker, Anne Joseph and Kenneth Scheve. 2001. \\Analyzing incomplete political science data:An alternative algorithm for multiple imputation.\u201dAmerican Political Science Review95 (1, March):49{69.http:\/\/gking.harvard.edu\/files\/abs\/evil-abs.shtml.<\/li>\n
    16. King, Gary, Michael Tomz and Jason Wittenberg. 2000.\\Making the most of statistical analyses: Improving interpretation and presentation.\u201dAmerican Journal of Political Science 44(2, April): 341 {355.http:\/\/gking.harvard.edu\/files\/abs\/making-abs.shtml.<\/li>\n
    17. Honaker, James, Anne Joseph, Gary King, Kenneth Scheveand Nau- nihal Singh. 1998-2002. \\AMELIA: A program formissing data\u201d.http:\/\/gking.harvard.edu\/amelia.<\/li>\n
    18. Honaker, James, Anne Joseph, Gary King, Kenneth Scheveand Nau- nihal Singh. 1998-2002. \\AMELIA: A program formissing data\u201d.http:\/\/gking.harvard.edu\/amelia.<\/li>\n
    19. Sethuraman, J. (1994). \\A constructive denition of Dirichletpriors.\u201dStatistica Sinica, 4:639{650.10<\/li>\n
    20. Thomas S. Ferguson. \\A Bayesian Analysis of Some Nonparametric Problems\u201d,Annals of Statistics, 1(2), 1973,209-230.<\/li>\n
    21. David Blackwell and James B. MacQueen. \\Ferguson Distributions via PolyaUrn Schemes\u201dAnnals of Statistics1(2),1973, 353-355.<\/li>\n
    22. C. E. Rasmussen C. K. I. Williams,Gaussian Processes for Machine Learning, the MIT Press, 2006 ISBN 026218253X,www.GaussianProcess.org\/gpml<\/li>\n<\/ol>\n","protected":false},"author":4,"menu_order":20,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["dr-sourish-das"],"pb_section_license":""},"chapter-type":[],"contributor":[58],"license":[],"class_list":["post-635","chapter","type-chapter","status-publish","hentry","contributor-dr-sourish-das"],"part":3,"_links":{"self":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/635","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/users\/4"}],"version-history":[{"count":3,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/635\/revisions"}],"predecessor-version":[{"id":667,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/635\/revisions\/667"}],"part":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/635\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/media?parent=635"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapter-type?post=635"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/contributor?post=635"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/license?post=635"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}