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MCMCpack: Markov Chain Monte Carlo in R

Citations

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Cited by:

  1. Paul M. Garrett & Yu-Wen Wang & Joshua P. White & Yoshihsa Kashima & Simon Dennis & Cheng-Ta Yang, 2022. "High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
  2. Martin Hernani Merino & Enver Gerald Tarazona Vargas & Antonieta Hamann Pastorino & José Afonso Mazzon, 2014. "Validation of Sustainable Development Practices Scale Using the Bayesian Approach to Item Response Theory," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 26(2), pages 147-162.
  3. Hengtao Zhang & Guosheng Yin, 2021. "Response‐adaptive rerandomization," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1281-1298, November.
  4. Kensuke Okada & Shin-ichi Mayekawa, 2018. "Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling," Computational Statistics, Springer, vol. 33(3), pages 1457-1473, September.
  5. Andrew Gelman & Daniel Lee & Jiqiang Guo, 2015. "Stan," Journal of Educational and Behavioral Statistics, , vol. 40(5), pages 530-543, October.
  6. Corona, Francisco & Forrest, David & Tena, J.D. & Wiper, Michael, 2019. "Bayesian forecasting of UEFA Champions League under alternative seeding regimes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 722-732.
  7. Zuoxian Gan & Tao Feng & Min Yang, 2018. "Exploring the Effects of Car Ownership and Commuting on Subjective Well-Being: A Nationwide Questionnaire Study," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
  8. Paul M. Garrett & YuWen Wang & Joshua P. White & Shulan Hsieh & Carol Strong & Yi-Chan Lee & Stephan Lewandowsky & Simon Dennis & Cheng-Ta Yang, 2021. "Young Adults View Smartphone Tracking Technologies for COVID-19 as Acceptable: The Case of Taiwan," IJERPH, MDPI, vol. 18(3), pages 1-18, February.
  9. Rolando de la Cruz & Oslando Padilla & Mauricio A. Valle & Gonzalo A. Ruz, 2021. "Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks," Mathematics, MDPI, vol. 9(6), pages 1-14, March.
  10. Chao Xu & Didit O Pribadi & Dagmar Haase & Stephan Pauleit, 2020. "Incorporating spatial autocorrelation and settlement type segregation to improve the performance of an urban growth model," Environment and Planning B, , vol. 47(7), pages 1184-1200, September.
  11. repec:jss:jstsof:42:i12 is not listed on IDEAS
  12. Yoomi Kim & Katsuya Tanaka & Shunji Matsuoka, 2017. "Institutional Mechanisms and the Consequences of International Environmental Agreements," Global Environmental Politics, MIT Press, vol. 17(1), pages 77-98, February.
  13. Benoit, Dries F. & Van den Poel, Dirk, 2017. "bayesQR: A Bayesian Approach to Quantile Regression," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i07).
  14. Koehn, Laura E. & Essington, Timothy E. & Marshall, Kristin N. & Kaplan, Isaac C. & Sydeman, William J. & Szoboszlai, Amber I. & Thayer, Julie A., 2016. "Developing a high taxonomic resolution food web model to assess the functional role of forage fish in the California Current ecosystem," Ecological Modelling, Elsevier, vol. 335(C), pages 87-100.
  15. Xu, Hao & Gardoni, Paolo, 2020. "Conditional formulation for the calibration of multi-level random fields with incomplete data," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  16. Baştürk, Nalan & Grassi, Stefano & Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2017. "The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i01).
  17. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2018. "Inferring hawks and doves from voting records," European Journal of Political Economy, Elsevier, vol. 51(C), pages 107-120.
  18. Devin Caughey & James Dunham & Christopher Warshaw, 2018. "The ideological nationalization of partisan subconstituencies in the American States," Public Choice, Springer, vol. 176(1), pages 133-151, July.
  19. Shulgin, Sergey & Zinkina, Julia & Korotayev, Andrey, 2017. "“Neighbors in values”: A new dataset of cultural distances between countries based on individuals’ values, and its application to the study of global trade," Research in International Business and Finance, Elsevier, vol. 42(C), pages 966-985.
  20. repec:jss:jstsof:39:i12 is not listed on IDEAS
  21. Bernhardt, Paul W. & Wang, Huixia Judy & Zhang, Daowen, 2014. "Flexible modeling of survival data with covariates subject to detection limits via multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 81-91.
  22. Federico ANDREIS & Pier Alda FERRARI, 2015. "Customer Satisfaction Evaluation Using Multidimensional Item Response Theory Models," Departmental Working Papers 2015-25, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  23. Antonio Parisi & B. Liseo, 2018. "Objective Bayesian analysis for the multivariate skew-t model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 277-295, June.
  24. Corona Francisco & Horrillo Juan de Dios Tena & Wiper Michael Peter, 2017. "On the importance of the probabilistic model in identifying the most decisive games in a tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(1), pages 11-23, March.
  25. Babak Fazelabdolabadi, 2019. "A hybrid Bayesian-network proposition for forecasting the crude oil price," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-21, December.
  26. Corona, Francisco & Forrest, David, 2017. "Evaluating significant effects from alternative seeding systems : a Bayesian approach, with an application to the UEFA Champions League," DES - Working Papers. Statistics and Econometrics. WS 24521, Universidad Carlos III de Madrid. Departamento de Estadística.
  27. Bouranis, Lampros & Friel, Nial & Maire, Florian, 2018. "Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 221-241.
  28. Bakar, Khandoker Shuvo & Sahu, Sujit K., 2015. "spTimer: Spatio-Temporal Bayesian Modeling Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i15).
  29. Badinger, Harald & Mühlböck, Monika & Nindl, Elisabeth & Reuter, Wolf Heinrich, 2014. "Theoretical vs. empirical power indices: Do preferences matter?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 158-176.
  30. Emmanuel Mensaklo & Chukiat Chaiboonsri & Kanchana Chokethaworn & Songsak Sriboonchitta, 2023. "Comparing Classical and Bayesian Panel Kink Regression Frameworks in Estimating the Impact of Economic Freedom on Economic Growth," Economies, MDPI, vol. 11(10), pages 1-24, October.
  31. Sobambo Sosina & Tirthankar Dasgupta & Qiang Huang, 2016. "A stochastic graphene growth kinetics model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(5), pages 705-729, November.
  32. Bayerstadler, Andreas & van Dijk, Linda & Winter, Fabian, 2016. "Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 244-252.
  33. Van Niekerk, Janet & Krainski, Elias & Rustand, Denis & Rue, Håvard, 2023. "A new avenue for Bayesian inference with INLA," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
  34. Daniel W. Hill Jr., 2016. "Avoiding Obligation," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(6), pages 1129-1158, September.
  35. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
  36. Wagner Hugo Bonat & Bent Jørgensen, 2016. "Multivariate covariance generalized linear models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(5), pages 649-675, November.
  37. Halwachs, M. & Neumaier, L. & Vollert, N. & Maul, L. & Dimitriadis, S. & Voronko, Y. & Eder, G.C. & Omazic, A. & Mühleisen, W. & Hirschl, Ch. & Schwark, M. & Berger, K.A. & Ebner, R., 2019. "Statistical evaluation of PV system performance and failure data among different climate zones," Renewable Energy, Elsevier, vol. 139(C), pages 1040-1060.
  38. Andrea Pastore & Stefano F. Tonellato & Emanuele Aliverti & Stefano Campostrini, 2023. "When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 577-591, June.
  39. repec:jss:jstsof:42:i01 is not listed on IDEAS
  40. Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017. "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J.
  41. Thomas Lehner & Fabio Wasserfallen, 2019. "Political conflict in the reform of the Eurozone," European Union Politics, , vol. 20(1), pages 45-64, March.
  42. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2017. "Preference updating in public health risk valuation," Working Paper Series 1517, Department of Economics, University of Sussex Business School.
  43. Mason Dyana P., 2017. "Measuring Latent Constructs in Nonprofit Surveys with Item Response Theory: The Example of Political Ideology," Nonprofit Policy Forum, De Gruyter, vol. 8(1), pages 91-110, January.
  44. White, Robin R. & Brady, Michael, 2014. "Can consumers’ willingness to pay incentivize adoption of environmental impact reducing technologies in meat animal production?," Food Policy, Elsevier, vol. 49(P1), pages 41-49.
  45. Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
  46. Brett V. Benson & Joshua D. Clinton, 2016. "Assessing the Variation of Formal Military Alliances," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(5), pages 866-898, August.
  47. Raheema S. Muhammad-Kah & Yezdi B. Pithawalla & Edward L. Boone & Lai Wei & Michael A. Jones & Ryan A. Black & Thomas M. Bryan & Mohamadi A. Sarkar, 2019. "A Computational Model for Assessing the Population Health Impact of Introducing a Modified Risk Claim on an Existing Smokeless Tobacco Product," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
  48. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
  49. Bernhardt, Paul W. & Zhang, Daowen & Wang, Huixia Judy, 2015. "A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits," Computational Statistics & Data Analysis, Elsevier, vol. 85(C), pages 37-53.
  50. Xin Fang & Bo Fang & Chunfang Wang & Tian Xia & Matteo Bottai & Fang Fang & Yang Cao, 2019. "Comparison of Frequentist and Bayesian Generalized Additive Models for Assessing the Association between Daily Exposure to Fine Particles and Respiratory Mortality: A Simulation Study," IJERPH, MDPI, vol. 16(5), pages 1-20, March.
  51. Ingo Klein, 2022. "Some Technical Remarks on Negations of Discrete Probability Distributions and Their Information Loss," Mathematics, MDPI, vol. 10(20), pages 1-26, October.
  52. Ji, Yonggang & Lin, Nan & Zhang, Baoxue, 2012. "Model selection in binary and tobit quantile regression using the Gibbs sampler," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 827-839.
  53. Fernández-i-Marín, Xavier, 2016. "ggmcmc: Analysis of MCMC Samples and Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i09).
  54. Valencia Cárdenas, Marisol & Vanegas López, Juan Gabriel & Correa Morales, Juan Carlos & Restrepo Morales, Jorge Aníbal, 2016. "Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 199-230, December.
  55. Schaarschmidt, Frank & Gerhard, Daniel & Vogel, Charlotte, 2017. "Simultaneous confidence intervals for comparisons of several multinomial samples," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 65-76.
  56. Mark David Nieman, 2016. "Moments in time: Temporal patterns in the effect of democracy and trade on conflict," Conflict Management and Peace Science, Peace Science Society (International), vol. 33(3), pages 273-293, July.
  57. Christopher Hare & Keith T. Poole, 2015. "Measuring ideology in Congress," Chapters, in: Jac C. Heckelman & Nicholas R. Miller (ed.), Handbook of Social Choice and Voting, chapter 18, pages 327-346, Edward Elgar Publishing.
  58. Lucia Dalla Pellegrina & Giorgio, Di Maio & Paolo Landoni & Beatrice Rama, 2019. "Activating women cognitive abilities: Impact of a financial literacy pilot program in India," Working Papers 412, University of Milano-Bicocca, Department of Economics, revised May 2019.
  59. Peida Zhan & Hong Jiao & Kaiwen Man & Lijun Wang, 2019. "Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial," Journal of Educational and Behavioral Statistics, , vol. 44(4), pages 473-503, August.
  60. Heiner Matthew & Fellingham Gilbert W. & Thomas Camille, 2014. "Skill importance in women’s soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 287-302, June.
  61. Murray Pollock & Paul Fearnhead & Adam M. Johansen & Gareth O. Roberts, 2020. "Quasi‐stationary Monte Carlo and the ScaLE algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1167-1221, December.
  62. Jieun Lee & Iain Osgood, 2019. "Exports, jobs, growth! Congressional hearings on US trade agreements," Economics and Politics, Wiley Blackwell, vol. 31(1), pages 1-26, March.
  63. José Antonio López-López & Juan Botella & Julio Sánchez-Meca & Fulgencio Marín-Martínez, 2013. "Alternatives for Mixed-Effects Meta-Regression Models in the Reliability Generalization Approach," Journal of Educational and Behavioral Statistics, , vol. 38(5), pages 443-469, October.
  64. Kim, Yochan & Park, Jinkyun, 2019. "Incorporating prior knowledge with simulation data to estimate PSF multipliers using Bayesian logistic regression," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 210-217.
  65. Qiushi Yu & Kevin M. Quinn, 2022. "A multidimensional pairwise comparison model for heterogeneous perceptions with an application to modelling the perceived truthfulness of public statements on COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1049-1073, July.
  66. Jieun Lee & Iain Osgood, 2018. "Exports, Jobs, Growth! Congressional Hearings on US Trade Agreements," Working Papers 667, Research Seminar in International Economics, University of Michigan.
  67. repec:jss:jstsof:42:i09 is not listed on IDEAS
  68. Sundström, Aksel & Paxton, Pamela & Wang, Yi-Ting & Lindberg, Staffan I., 2017. "Women’s Political Empowerment: A New Global Index, 1900–2012," World Development, Elsevier, vol. 94(C), pages 321-335.
  69. Santos-Fernandez Edgar & Wu Paul & Mengersen Kerrie L., 2019. "Bayesian statistics meets sports: a comprehensive review," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(4), pages 289-312, December.
  70. Michael A. Bailey & Erik Voeten, 2018. "A two-dimensional analysis of seventy years of United Nations voting," Public Choice, Springer, vol. 176(1), pages 33-55, July.
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