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Simulation Run Length Control in the Presence of an Initial Transient

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Cited by:

  1. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
  2. Hancock, Joana & Vieira, Sara & Lima, Hipólito & Schmitt, Vanessa & Pereira, Jaconias & Rebelo, Rui & Girondot, Marc, 2019. "Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data," Ecological Modelling, Elsevier, vol. 402(C), pages 76-84.
  3. L’Ecuyer, P. & Sanvido, C., 2010. "Coupling from the past with randomized quasi-Monte Carlo," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(3), pages 476-489.
  4. Lada, Emily K. & Wilson, James R., 2006. "A wavelet-based spectral procedure for steady-state simulation analysis," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1769-1801, November.
  5. Stamey, James D. & Bratcher, Tom L. & Young, Dean M., 2004. "Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 467-479, April.
  6. Enver Yücesan, 1993. "Randomization tests for initialization bias in simulation output," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(5), pages 643-663, August.
  7. Siyun Yu & Vidyadhar G. Kulkarni & Vinayak Deshpande, 2020. "Appointment Scheduling for a Health Care Facility with Series Patients," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 388-409, February.
  8. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
  9. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
  10. Figueroa-Zúñiga, Jorge I. & Arellano-Valle, Reinaldo B. & Ferrari, Silvia L.P., 2013. "Mixed beta regression: A Bayesian perspective," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 137-147.
  11. Binbing Yu & Pulak Ghosh, 2010. "Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death," Biometrics, The International Biometric Society, vol. 66(1), pages 294-300, March.
  12. Ralf van der Lans & Bram Van den Bergh & Evelien Dieleman, 2014. "Partner Selection in Brand Alliances: An Empirical Investigation of the Drivers of Brand Fit," Marketing Science, INFORMS, vol. 33(4), pages 551-566, July.
  13. Andrés Ramírez–Hassan & Rosember Guerra–Urzola, 2021. "Bayesian treatment effects due to a subsidized health program: the case of preventive health care utilization in Medellín (Colombia)," Empirical Economics, Springer, vol. 60(3), pages 1477-1506, March.
  14. Burda Martin & Bélisle Louis, 2019. "Copula multivariate GARCH model with constrained Hamiltonian Monte Carlo," Dependence Modeling, De Gruyter, vol. 7(1), pages 133-149, January.
  15. Sukhmani Sidhu & Kanchan Jain & Suresh Kumar Sharma, 2018. "Bayesian estimation of generalized gamma shared frailty model," Computational Statistics, Springer, vol. 33(1), pages 277-297, March.
  16. Wei Chen & Yixin Lu & Liangfei Qiu & Subodha Kumar, 2021. "Designing Personalized Treatment Plans for Breast Cancer," Information Systems Research, INFORMS, vol. 32(3), pages 932-949, September.
  17. Karan J Odom & David M Logue & Colin E Studds & Michelle K Monroe & Susanna K Campbell & Kevin E Omland, 2017. "Duetting behavior varies with sex, season, and singing role in a tropical oriole (Icterus icterus)," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(5), pages 1256-1265.
  18. Margarita Marín & Edilberto Cepeda-Cuervo, 2022. "A Bayesian Regression Model for the Non-standardized t Distribution with Location, Scale and Degrees of Freedom Parameters," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 809-830, November.
  19. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
  20. Goldman Elena & Tsurumi Hiroki, 2005. "Bayesian Analysis of a Doubly Truncated ARMA-GARCH Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-38, June.
  21. Jin, Xing & Hong, Yi, 2023. "Jump-diffusion volatility models for variance swaps: An empirical performance analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
  22. John K. Kruschke, 2021. "Bayesian Analysis Reporting Guidelines," Nature Human Behaviour, Nature, vol. 5(10), pages 1282-1291, October.
  23. Jobst, Rainer & Kellner, Ralf & Rösch, Daniel, 2020. "Bayesian loss given default estimation for European sovereign bonds," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1073-1091.
  24. Feng Xu & Zinan Zhu, 2014. "A Bayesian approach for predicting material accounting misstatements," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(4), pages 349-367, December.
  25. Chadwick, Meltem, 2010. "Performance of Bayesian Latent Factor Models in Measuring Pricing Errors," MPRA Paper 79060, University Library of Munich, Germany.
  26. Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 2000. "Imposing regularity conditions on a system of cost and factor share equations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-21.
  27. Dianxu Ren & Roslyn Stone, 2007. "A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(9), pages 1019-1034.
  28. Gabriela França Oliveira & Ana Carolina Campana Nascimento & Moysés Nascimento & Isabela de Castro Sant'Anna & Juan Vicente Romero & Camila Ferreira Azevedo & Leonardo Lopes Bhering & Eveline Teixeira, 2021. "Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-12, January.
  29. Ramírez–Hassan, Andrés & López-Vera, Alejandro, 2024. "Welfare implications of a tax on electricity: A semi-parametric specification of the incomplete EASI demand system," Energy Economics, Elsevier, vol. 131(C).
  30. Sabourin, Anne & Naveau, Philippe, 2014. "Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 542-567.
  31. Nishtha Langer & Chris Forman & Sunder Kekre & Baohong Sun, 2012. "Ushering Buyers into Electronic Channels: An Empirical Analysis," Information Systems Research, INFORMS, vol. 23(4), pages 1212-1231, December.
  32. Rotondi, R., 2002. "On the influence of the proposal distributions on a reversible jump MCMC algorithm applied to the detection of multiple change-points," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 633-653, September.
  33. Andr'es Ram'irez-Hassan & Alejandro L'opez-Vera, 2021. "Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity," Papers 2109.07646, arXiv.org.
  34. Lorenzo Tomassini & Peter Reichert & Hans R. Künsch & Christoph Buser & Reto Knutti & Mark E. Borsuk, 2009. "A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 679-704, December.
  35. Terence D.Agbeyegbe & Elena Goldman, 2005. "Estimation of threshold time series models using efficient jump MCMC," Economics Working Paper Archive at Hunter College 406, Hunter College Department of Economics, revised 2005.
  36. Roland T. Rust & Peter C. Verhoef, 2005. "Optimizing the Marketing Interventions Mix in Intermediate-Term CRM," Marketing Science, INFORMS, vol. 24(3), pages 477-489, December.
  37. El Adlouni, Salaheddine & Favre, Anne-Catherine & Bobee, Bernard, 2006. "Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2685-2701, June.
  38. Lloyd, Louise K. & Forster, Jonathan J., 2014. "Modelling trends in road accident frequency— Bayesian inference for rates with uncertain exposure," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 189-204.
  39. Ignacio Abásolo & Miguel Negrín & Jaime Pinilla, 2014. "Utilización y tiempos de espera: dos vertientes inseparables del análisis de la equidad en el acceso al sistema sanitario público," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 11-38, March.
  40. Sunil Wattal & Rahul Telang & Tridas Mukhopadhyay & Peter Boatwright, 2012. "What's in a “Name”? Impact of Use of Customer Information in E-Mail Advertisements," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 679-697, September.
  41. Ockerman, Daniel H. & Goldsman, David, 1999. "Student t-tests and compound tests to detect transients in simulated time series," European Journal of Operational Research, Elsevier, vol. 116(3), pages 681-691, August.
  42. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
  43. Neil H. Spencer & Antony Fielding, 2002. "A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data," Computational Statistics, Springer, vol. 17(1), pages 103-116, March.
  44. Yu, Binbing, 2010. "A Bayesian MCMC approach to survival analysis with doubly-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1921-1929, August.
  45. Sabourin, Anne, 2015. "Semi-parametric modeling of excesses above high multivariate thresholds with censored data," Journal of Multivariate Analysis, Elsevier, vol. 136(C), pages 126-146.
  46. Kirdan Lees & Troy Matheson & Christie Smith, 2007. "Open Economy Dsge-Var Forecasting And Policy Analysis: Head To Head With The Rbnz Published Forecasts," CAMA Working Papers 2007-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  47. Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
  48. McMullen, Jeffery S. & Ding, Amy Wenxuan & Li, Shibo, 2021. "From cultural entrepreneurship to economic entrepreneurship in cultural industries: The role of digital serialization," Journal of Business Venturing, Elsevier, vol. 36(6).
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  50. Bjørn Høyland, 2010. "Procedural and party effects in European Parliament roll-call votes," European Union Politics, , vol. 11(4), pages 597-613, December.
  51. Hyun Sook Oh, 2020. "Opposite Effects of Work-Related Physical Activity and Leisure-Time Physical Activity on the Risk of Diabetes in Korean Adults," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
  52. Georgios Tsiotas, 2022. "Regression Analysis Using Asymmetric Losses: A Bayesian Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 311-327, June.
  53. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
  54. Li, Yong & Liu, Xiao-Bin & Yu, Jun, 2015. "A Bayesian chi-squared test for hypothesis testing," Journal of Econometrics, Elsevier, vol. 189(1), pages 54-69.
  55. C. Jessica E. Metcalf & David A. Stephens & Mark Rees & Svata M. Louda & Kathleen H. Keeler, 2009. "Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 143-170, May.
  56. Kerenaftali Klein & Stefanie Hennig & Sanjoy Ketan Paul, 2016. "A Bayesian Modelling Approach with Balancing Informative Prior for Analysing Imbalanced Data," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-12, April.
  57. Eleanor M. Pullenayegum & Kelvin K. W. Chan & Feng Xie, 2016. "Quantifying Parameter Uncertainty in EQ-5D-3L Value Sets and Its Impact on Studies That Use the EQ-5D-3L to Measure Health Utility," Medical Decision Making, , vol. 36(2), pages 223-233, February.
  58. Minnie M. Joo & Brandon Bolte & Nguyen Huynh & Bumba Mukherjee, 2023. "Bayesian Spatial Split-Population Survival Model with Applications to Democratic Regime Failure and Civil War Recurrence," Mathematics, MDPI, vol. 11(8), pages 1-23, April.
  59. Yu, Jun, 2005. "On leverage in a stochastic volatility model," Journal of Econometrics, Elsevier, vol. 127(2), pages 165-178, August.
  60. Yan, Tingting & Rabinovich, Elliot & Dooley, Kevin & Evers, Philip T., 2010. "Managing backlog variation in order fulfillment: The case of Internet retailers," International Journal of Production Economics, Elsevier, vol. 128(1), pages 261-268, November.
  61. Chandra, Charu & Everson, Mark & Grabis, Janis, 2005. "Evaluation of enterprise-level benefits of manufacturing flexibility," Omega, Elsevier, vol. 33(1), pages 17-31, February.
  62. Meena Badade & T. V. Ramanathan, 2022. "Probabilistic Frontier Regression Models for Count Type Output Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 235-260, September.
  63. repec:jss:jstsof:21:i11 is not listed on IDEAS
  64. Emily K. Lada & James R. Wilson & Natalie M. Steiger & Jeffrey A. Joines, 2007. "Performance of a Wavelet-Based Spectral Procedure for Steady-State Simulation Analysis," INFORMS Journal on Computing, INFORMS, vol. 19(2), pages 150-160, May.
  65. Hong, Yi & Jin, Xing, 2022. "Pricing of variance swap rates and investment decisions of variance swaps: Evidence from a three-factor model," European Journal of Operational Research, Elsevier, vol. 303(2), pages 975-985.
  66. Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2017. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 74-94.
  67. Sun, Xuxue & Mraied, Hesham & Cai, Wenjun & Zhang, Qiong & Liang, Guoyuan & Li, Mingyang, 2018. "Bayesian latent degradation performance modeling and quantification of corroding aluminum alloys," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 84-96.
  68. Mahmoud Torabi, 2014. "Hierarchical Bayesian bivariate disease mapping: analysis of children and adults asthma visits to hospital," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 612-621, March.
  69. Marie Djuikom, 2018. "Incentives to labour migration and agricultural productivity: The Bayesian perspective," WIDER Working Paper Series 45, World Institute for Development Economic Research (UNU-WIDER).
  70. Quinn M. R. Webber & Michel P. Laforge & Maegwin Bonar & Eric Vander Wal, 2024. "The adaptive value of density-dependent habitat specialization and social network centrality," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  71. Chen, Kefei & O'Leary, Rebecca A. & Evans, Fiona H., 2019. "A simple and parsimonious generalised additive model for predicting wheat yield in a decision support tool," Agricultural Systems, Elsevier, vol. 173(C), pages 140-150.
  72. Shofiqul Islam & Sonia Anand & Jemila Hamid & Lehana Thabane & Joseph Beyene, 2020. "A copula-based method of classifying individuals into binary disease categories using dependent biomarkers," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 871-897, December.
  73. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.
  74. da-Silva, C.Q. & Gomes, A.E., 2011. "Bayesian inference for an item response model for modeling test anxiety," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3165-3182, December.
  75. David A. Spade, 2020. "Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths," Computational Statistics, Springer, vol. 35(4), pages 2043-2076, December.
  76. Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2017. "Inference on Self‐Exciting Jumps in Prices and Volatility Using High‐Frequency Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 504-532, April.
  77. Marie Albertine Djuikom, 2018. "Incentives to labour migration and agricultural productivity: The Bayesian perspective," WIDER Working Paper Series wp-2018-45, World Institute for Development Economic Research (UNU-WIDER).
  78. A. W. George & K. L. Mengersen & G. P. Davis, 1999. "A Bayesian Approach to Ordering Gene Markers," Biometrics, The International Biometric Society, vol. 55(2), pages 419-429, June.
  79. Han Lin Shang, 2014. "Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 599-615, September.
  80. Afrânio M.C. Vieira & Roseli A. Leandro & Clarice G.B. Dem�trio & Geert Molenberghs, 2011. "Double generalized linear model for tissue culture proportion data: a Bayesian perspective," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1717-1731, September.
  81. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
  82. Arthur H Owora & Hélène Carabin & Tabitha Garwe & Michael P Anderson, 2019. "Are we validly assessing major depression disorder risk and associated factors among mothers of young children? A cross-sectional study involving home visitation programs," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-18, January.
  83. Zhou, Haiming & Huang, Xianzheng, 2022. "Bayesian beta regression for bounded responses with unknown supports," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
  84. Sara Amoroso, 2017. "Multilevel heterogeneity of R&D cooperation and innovation determinants," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(1), pages 93-120, April.
  85. Manuel Gavilano & Paulo Chahuara, 2020. "Internet móvil: ¿Sustituto del fijo?," Documentos de Trabajo 41, OSIPTEL.
  86. Mehdi Basikhasteh & Iman Makhdoom, 2022. "Bayesian inference of bivariate Weibull geometric model based on LINEX and quadratic loss functions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 867-880, April.
  87. Javier G. Gómez-Pineda & Julián Roa-Rozo, 2023. "A trend-cycle decomposition with hysteresis," Borradores de Economia 1230, Banco de la Republica de Colombia.
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  89. Girondot, Marc & Dejoie, Ambre & Charpentier, Michel, 2024. "The mystery of bimodal nesting seasons in marine turtles," Ecological Modelling, Elsevier, vol. 490(C).
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  93. Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2013. "The dynamics of bank loans short-term interest rates in the Euro area: what lessons can we draw from the current crisis?," Working papers 462, Banque de France.
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  108. Vallejos, Catalina A. & Steel, Mark F.J., 2017. "Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach," Econometrics and Statistics, Elsevier, vol. 3(C), pages 73-88.
  109. Wei Jiang & Steven Kou, 2021. "Simulating risk measures via asymptotic expansions for relative errors," Mathematical Finance, Wiley Blackwell, vol. 31(3), pages 907-942, July.
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  111. Xiang, Qinfang & Edwards, Jode & Gadbury, Gary L., 2006. "Interval estimation in a finite mixture model: Modeling P-values in multiple testing applications," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 570-586, November.
  112. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.
  113. Sicsic, Jonathan & Krucien, Nicolas & Franc, Carine, 2016. "What are GPs' preferences for financial and non-financial incentives in cancer screening? Evidence for breast, cervical, and colorectal cancers," Social Science & Medicine, Elsevier, vol. 167(C), pages 116-127.
  114. Y. K. Tse & Xibin Zhang & Jun Yu, 2004. "Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 158-169.
  115. Georgios Tsiotas, 2020. "On the use of power transformations in CAViaR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 296-312, March.
  116. Monsinjon, Jonathan R. & Guillon, Jean-Michel & Wyneken, Jeanette & Girondot, Marc, 2022. "Thermal reaction norm for sexualization: The missing link between temperature and sex ratio for temperature-dependent sex determination," Ecological Modelling, Elsevier, vol. 473(C).
  117. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.
  118. Eleanor M. Pullenayegum & A. Simon Pickard & Feng Xie, 2019. "Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences," Medical Decision Making, , vol. 39(4), pages 421-436, May.
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