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Merlise Aycock Clyde

Personal Details

First Name:Merlise
Middle Name:Aycock
Last Name:Clyde
Suffix:
RePEc Short-ID:pcl72
http://www.stat.duke.edu/~clyde

Affiliation

Duke University, Department of Statistical Science

http://stat.duke.edu
USA, Durham, NC

Research output

as
Jump to: Working papers Articles

Working papers

  1. Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.

Articles

  1. Merlise A. Clyde & Joyee Ghosh, 2012. "Finite population estimators in stochastic search variable selection," Biometrika, Biometrika Trust, vol. 99(4), pages 981-988.
  2. Ghosh, Joyee & Clyde, Merlise A., 2011. "Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 1041-1052.
  3. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.
  4. Clyde, Merlise & George, Edward I., 2003. "Comment," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 584-585, January.
  5. Francesca Dominici & Lianne Sheppard & Merlise Clyde, 2003. "Health Effects of Air Pollution: A Statistical Review," International Statistical Review, International Statistical Institute, vol. 71(2), pages 243-276, August.
  6. Merlise Clyde & Edward I. George, 2000. "Flexible empirical Bayes estimation for wavelets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 681-698.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.

    Mentioned in:

    1. New p-Value Thresholds for Statistical Significance
      by Francis Diebold in No Hesitations on 2017-08-28 04:46:00
    2. [統計][経済][科学]新発見の統計的有意性のp値の閾値は5%から0.5%に下げよ
      by himaginary in himaginaryの日記 on 2017-08-29 05:00:00
    3. More on New p-Value Thresholds
      by Francis Diebold in No Hesitations on 2017-09-04 22:17:00

Working papers

  1. Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.

    Cited by:

    1. Arnold, Gwen & Farrer, Benjamin & Holahan, Robert, 2018. "How do landowners learn about high-volume hydraulic fracturing? A survey of Eastern Ohio landowners in active or proposed drilling units," Energy Policy, Elsevier, vol. 114(C), pages 455-464.

Articles

  1. Merlise A. Clyde & Joyee Ghosh, 2012. "Finite population estimators in stochastic search variable selection," Biometrika, Biometrika Trust, vol. 99(4), pages 981-988.

    Cited by:

    1. Liquet, Benoît & Bottolo, Leonardo & Campanella, Gianluca & Richardson, Sylvia & Chadeau-Hyam, Marc, 2016. "R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate Responses," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i02).

  2. Ghosh, Joyee & Clyde, Merlise A., 2011. "Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 1041-1052.

    Cited by:

    1. Chris J. Oates & Mark Girolami & Nicolas Chopin, 2017. "Control functionals for Monte Carlo integration," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 695-718, June.
    2. Perrakis, Konstantinos & Ntzoufras, Ioannis & Tsionas, Efthymios G., 2014. "On the use of marginal posteriors in marginal likelihood estimation via importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 54-69.

  3. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.

    Cited by:

    1. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    2. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, Department of Economics, University of Bristol, UK.
    3. Camarero, Mariam & Forte, Anabel & Garcia-Donato, Gonzalo & Mendoza, Yurena & Ordoñez, Javier, 2015. "Variable selection in the analysis of energy consumption–growth nexus," Energy Economics, Elsevier, vol. 52(PA), pages 207-216.
    4. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    5. Minerva Mukhopadhyay & Tapas Samanta, 2017. "A mixture of g-priors for variable selection when the number of regressors grows with the sample size," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 377-404, June.
    6. Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016. "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series 7645, The World Bank.
    7. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    8. Giannone, Domenico & Lenza, Michele & Reichlin, Lucrezia, 2010. "Market freedom and the global recession," CEPR Discussion Papers 7884, C.E.P.R. Discussion Papers.
    9. Havranek, Tomas & Horvath, Roman & Irsova, Zuzana & Rusnak, Marek, 2015. "Cross-country heterogeneity in intertemporal substitution," Journal of International Economics, Elsevier, vol. 96(1), pages 100-118.
    10. Forte, Anabel & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2015. "Does social capital matter for European regional growth?," European Economic Review, Elsevier, vol. 77(C), pages 47-64.
    11. M. J. Bayarri & G. García-Donato, 2008. "Generalization of Jeffreys divergence-based priors for Bayesian hypothesis testing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 981-1003.
    12. Roman Horváth, 2012. "Does Trust Promote Growth?," Working Papers 319, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    13. Zhao, Kaifeng & Lian, Heng, 2016. "The Expectation–Maximization approach for Bayesian quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 1-11.
    14. Eriṣ, Mehmet N. & Ulaṣan, Bülent, 2013. "Trade openness and economic growth: Bayesian model averaging estimate of cross-country growth regressions," Economic Modelling, Elsevier, vol. 33(C), pages 867-883.
    15. Robert Kohn & Rachida Ouysse, 2007. "Bayesian Variable Selection of Risk Factors in the APT Model," Discussion Papers 2007-32, School of Economics, The University of New South Wales.
    16. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    17. Guido Consonni & Laura Deldossi, 2016. "Objective Bayesian model discrimination in follow-up experimental designs," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 397-412, September.
    18. Njindan Iyke, Bernard, 2015. "Macro Determinants of the Real Exchange Rate in a Small Open Small Island Economy: Evidence from Mauritius via BMA," MPRA Paper 68968, University Library of Munich, Germany.
    19. Gelman Andrew & Robert Christian P. & Rousseau Judith, 2013. "Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin," Statistics & Risk Modeling, De Gruyter, vol. 30(2), pages 105-120, June.
    20. Branimir Jovanovic, 2013. "Growth Forecast Errors and Government Investment and Consumption Multipliers," CEIS Research Paper 301, Tor Vergata University, CEIS, revised 17 Dec 2013.
    21. Sousa, João & Sousa, Ricardo M., 2013. "Asset returns under model uncertainty: evidence from the euro area, the U.S. and the U.K," Working Paper Series 1575, European Central Bank.
    22. Yen-Shiu Chin & Ting-Li Chen, 2016. "Minimizing variable selection criteria by Markov chain Monte Carlo," Computational Statistics, Springer, vol. 31(4), pages 1263-1286, December.
    23. Min Wang & Xiaoqian Sun & Tao Lu, 2015. "Bayesian structured variable selection in linear regression models," Computational Statistics, Springer, vol. 30(1), pages 205-229, March.
    24. Christian P. Robert, 2013. "On the jeffreys-Lindley's Paradox," Working Papers 2013-46, Center for Research in Economics and Statistics.
    25. Katrin Wölfel & Christoph S. Weber, 2017. "Searching for the Fed’s reaction function," Empirical Economics, Springer, vol. 52(1), pages 191-227, February.
    26. Branimir Jovanovic, 2012. "How Policy Actions Affect Short-term Post-crisis Recovery?," CEIS Research Paper 253, Tor Vergata University, CEIS, revised 05 Oct 2012.
    27. Mitra Robin & Dunson David, 2010. "Two-Level Stochastic Search Variable Selection in GLMs with Missing Predictors," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-40, October.
    28. Dr. Michael Sigmund & Dr. Ingrid Stein, 2017. "What predicts Financial (In)Stability? A Bayesian Approach," Credit and Capital Markets, Credit and Capital Markets, vol. 50(3), pages 299-336.
    29. Endrész, Marianna & Skudelny, Frauke, 2016. "Crisis severity and the international trade network," Working Paper Series 1971, European Central Bank.
    30. Dimitris Fouskakis & Ioannis Ntzoufras, 2017. "Information consistency of the Jeffreys power-expected-posterior prior in Gaussian linear models," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 371-380, December.
    31. Cheng, Chin-I. & Speckman, Paul L., 2012. "Bayesian smoothing spline analysis of variance," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3945-3958.
    32. Mulder, Joris, 2014. "Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 448-463.
    33. Valen E. Johnson & David Rossell, 2010. "On the use of non-local prior densities in Bayesian hypothesis tests," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(2), pages 143-170.
    34. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    35. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    36. Andros Kourtellos & Ioanna Stylianou & Chih Ming Tan, 2011. "Failure to Launch? The Role of Land Inequality in Transition Delays," University of Cyprus Working Papers in Economics 06-2011, University of Cyprus Department of Economics.
    37. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    38. Moreno, E. & Girón, F.J. & Martínez, M.L. & Vázquez-Polo, F.J. & Negrín, M.A., 2013. "Optimal treatments in cost-effectiveness analysis in the presence of covariates: Improving patient subgroup definition," European Journal of Operational Research, Elsevier, vol. 226(1), pages 173-182.
    39. Kang, Shuaimin & Wang, Min & Lu, Tao, 2015. "On the consistency of the objective Bayes factor for the integral priors in the one-way random effects model," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 17-23.
    40. Theo Eicher & Chris Papageogiou & Adrian E Raftery, 2007. "Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants," Working Papers UWEC-2007-25-P, University of Washington, Department of Economics.
    41. Fouskakis, D., 2012. "Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods," European Journal of Operational Research, Elsevier, vol. 220(2), pages 414-422.
    42. Andros Kourtellos & Christa Marr & Chih Ming Tan, 2014. "Robust Determinants of Intergenerational Mobility in the Land of Opportunity," University of Cyprus Working Papers in Economics 07-2014, University of Cyprus Department of Economics.
    43. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    44. Leonhard Held & Rafael Sauter, 2017. "Adaptive prior weighting in generalized regression," Biometrics, The International Biometric Society, vol. 73(1), pages 242-251, March.
    45. David Puelz & Carlos M. Carvalho & P. Richard Hahn, 2015. "Optimal ETF Selection for Passive Investing," Papers 1510.03385, arXiv.org, revised Nov 2015.
    46. Jesús Crespo Cuaresma & Martin Feldkircher, 2013. "Spatial Filtering, Model Uncertainty And The Speed Of Income Convergence In Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 720-741, June.
    47. Leamer, Edward E., 2016. "S-values and Bayesian weighted all-subsets regressions," European Economic Review, Elsevier, vol. 81(C), pages 15-31.
    48. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
    49. Valeria C. Castellanos, 2008. "Comisiones en cajeros automáticos y su relación con el tamaño de la red en México," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 57-92, enero-mar.
    50. Guido Consonni & Roberta Paroli, 2017. "Objective Bayesian Comparison of Constrained Analysis of Variance Models," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 589-609, September.
    51. Emanuela Ciapanna & Marco Taboga, 2011. "Bayesian analysis of coefficient instability in dynamic regressions," Temi di discussione (Economic working papers) 836, Bank of Italy, Economic Research and International Relations Area.
    52. Xiaoyi Min & Dongchu Sun, 2016. "Bayesian model selection for a linear model with grouped covariates," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(4), pages 877-903, August.
    53. Catherine Laffineur & Saulo Dubard Barbosa & Alain Fayolle & Emeran Nziali, 2017. "Active labor market programs’ effects on entrepreneurship and unemployment," Small Business Economics, Springer, vol. 49(4), pages 889-918, December.
    54. Michail Papathomas, 2018. "On the correspondence from Bayesian log-linear modelling to logistic regression modelling with g-priors," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 197-220, March.
    55. Enrique Cuervo Guzmán, 2008. "Bayesian analysis of the unit root in real exchange rates: the NAFTA case," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 93-144, enero-mar.
    56. Kuo-Jung Lee & Yi-Chi Chen, 2018. "Of needles and haystacks: revisiting growth determinants by robust Bayesian variable selection," Empirical Economics, Springer, vol. 54(4), pages 1517-1547, June.
    57. KOROBILIS, Dimitris, 2011. "VAR forecasting using Bayesian variable selection," CORE Discussion Papers 2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    58. Jesús Crespo Cuaresma & Martin Feldkircher, 2010. "Spatial Filtering, Model Uncertainty and the Speed of Income Convergence in Europe," Working Papers 160, Oesterreichische Nationalbank (Austrian Central Bank).
    59. Jordi Maas, 2014. "Forecasting inflation using time-varying Bayesian model averaging," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(3), pages 149-182, August.
    60. Minerva Mukhopadhyay & Tapas Samanta & Arijit Chakrabarti, 2015. "On consistency and optimality of Bayesian variable selection based on $$g$$ g -prior in normal linear regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(5), pages 963-997, October.
    61. Fabrice Murtin & Thomas Laurent & Geoff Barnard & Dean Janse van Rensburg & Vijay Reddy & George Frempong & Lolita Winnaar, 2015. "Policy Determinants of School Outcomes under Model Uncertainty: Evidence from South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(3), pages 317-334, September.
    62. KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage priors for dynamic regressions with many predictors," CORE Discussion Papers 2011021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    63. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    64. Yu Yue & Paul Speckman & Dongchu Sun, 2012. "Priors for Bayesian adaptive spline smoothing," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 577-613, June.
    65. Ng, Adam & Ibrahim, Mansor H. & Mirakhor, Abbas, 2016. "Does trust contribute to stock market development?," Economic Modelling, Elsevier, vol. 52(PA), pages 239-250.
    66. Shahram Amini & Christopher F. Parmeter, 2011. "Bayesian Model Averaging in R," Working Papers 2011-9, University of Miami, Department of Economics.
    67. Sonia Petrone & Stefano Rizzelli & Judith Rousseau & Catia Scricciolo, 2014. "Empirical Bayes methods in classical and Bayesian inference," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 201-215, August.
    68. Branimir Jovanovic, 2017. "Growth forecast errors and government investment and consumption multipliers," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(1), pages 83-107, January.
    69. Shahram Amini & Christopher F. Parmeter, 2011. "A Review of the `BMS' Package for R," Working Papers 2011-8, University of Miami, Department of Economics.
    70. Konstantins Benkovskis & Benjamin Bluhm & Elena Bobeica & Chiara Osbat & Stefan Zeugner, 2017. "What drives export market shares? It depends! An empirical analysis using Bayesian Model Averaging," Working Papers 2017/02, Latvijas Banka.
    71. Xiaoquan Wen, 2017. "Robust Bayesian FDR Control Using Bayes Factors, with Applications to Multi-tissue eQTL Discovery," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 28-49, June.
    72. David Coyne & Chih Ming Tan, 2012. "Do Political Institutions Yield Multiple Growth Regimes?," Working Paper series 36_12, Rimini Centre for Economic Analysis.
    73. Scott D. Goddard & Valen E. Johnson, 2016. "Restricted most powerful Bayesian tests for linear models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 1162-1177, December.
    74. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    75. Roman Horvath & Eva Horvatova & Maria Siranova, 2017. "Financial Development, Rule of Law and Wealth Inequality: Bayesian Model Averaging Evidence," Working Papers 368, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    76. César E. Tamayo & Andrés M. Vargas, 2008. "Flujos de capital y frenazos súbitos: teoría, historia y una nueva estimación," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 27-56, enero-mar.
    77. Jianqing Fan & Jinchi Lv, 2008. "Sure independence screening for ultrahigh dimensional feature space," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 849-911.
    78. Jeong, Seonghyun & Park, Minjae & Park, Taeyoung, 2017. "Analysis of binary longitudinal data with time-varying effects," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 145-153.
    79. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    80. Latouche, Pierre & Mattei, Pierre-Alexandre & Bouveyron, Charles & Chiquet, Julien, 2016. "Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 177-190.
    81. Yu, Chi Wai & Clarke, Bertrand, 2010. "Asymptotics of Bayesian median loss estimation," Journal of Multivariate Analysis, Elsevier, vol. 101(9), pages 1950-1958, October.
    82. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
    83. Crespo-Cuaresma, Jesus & Schweinitz, Gregor von & Wendt, Katharina, 2018. "On the empirics of reserve requirements and economic growth," IWH Discussion Papers 8/2018, Halle Institute for Economic Research (IWH).
    84. Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.
    85. Wang, Lianming & Lin, Xiaoyan, 2011. "A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 876-883, July.
    86. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    87. Catalina A. Vallejos & Mark F. J. Steel, 2017. "Bayesian survival modelling of university outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 613-631, February.
    88. Doppelhofer, G. & Moe Hansen, O-P. & Weeks, M., 2017. "Determinants of long-term economic growth redux: A Measurement Error Model Averaging (MEMA) approach," Cambridge Working Papers in Economics 1702, Faculty of Economics, University of Cambridge.
    89. Xiaoquan Wen, 2014. "Bayesian model selection in complex linear systems, as illustrated in genetic association studies," Biometrics, The International Biometric Society, vol. 70(1), pages 73-83, March.
    90. Malefaki, Valia, 2015. "On Flexible Linear Factor Stochastic Volatility Models," MPRA Paper 62216, University Library of Munich, Germany.
    91. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust Linear Static Panel Data Models Using ?-Contamination," IZA Discussion Papers 8661, Institute for the Study of Labor (IZA).
    92. Yiyun Shou & Michael Smithson, 2015. "Evaluating Predictors of Dispersion: A Comparison of Dominance Analysis and Bayesian Model Averaging," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 236-256, March.
    93. Bibiana Lanzilotta & Adrián Fernández & Gonzalo Zunino, 2008. "Evaluación de las proyecciones de analistas: la encuesta de expectativas de inflación del banco central," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 1-25, enero-mar.
    94. Stefano Monni, 2014. "Bayesian variable selection for correlated covariates via colored cliques," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(2), pages 143-163, April.
    95. Duncan Fong & Wayne DeSarbo, 2007. "A Bayesian methodology for simultaneously detecting and estimating regime change points and variable selection in multiple regression models for marketing research," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 427-453, December.
    96. Baragatti, M. & Pommeret, D., 2012. "A study of variable selection using g-prior distribution with ridge parameter," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1920-1934.
    97. Kyu Ha Lee & Mahlet G. Tadesse & Andrea A. Baccarelli & Joel Schwartz & Brent A. Coull, 2017. "Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation," Biometrics, The International Biometric Society, vol. 73(1), pages 232-241, March.
    98. Doppelhofer, Gernot & Hansen, Ole-Petter Moe & Weeks, Melvyn, 2016. "Determinants of long-term economic Growth redux: A Measurement Error Model Averaging (MEMA) approach," Discussion Paper Series in Economics 19/2016, Norwegian School of Economics, Department of Economics.
    99. Guido Consonni & Luca La Rocca, 2010. "Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs," Quaderni di Dipartimento 115, University of Pavia, Department of Economics and Quantitative Methods.
    100. Xiaoquan Wen, 0. "Robust Bayesian FDR Control Using Bayes Factors, with Applications to Multi-tissue eQTL Discovery," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 0, pages 1-22.

  4. Francesca Dominici & Lianne Sheppard & Merlise Clyde, 2003. "Health Effects of Air Pollution: A Statistical Review," International Statistical Review, International Statistical Institute, vol. 71(2), pages 243-276, August.

    Cited by:

    1. X. Pautrel, 2008. "Reconsidering the Impact of the Environment on Long-run Growth when Pollution Influences Health and Agents have a Finite-lifetime," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 37-52, May.
    2. Magali Delmas & Maria J. Montes-Sancho & Jay P. Shimshack, 2010. "Information Disclosure Policies: Evidence From The Electricity Industry," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 483-498, April.
    3. Sabel, Clive Eric & Wilson, Jeff Gaines & Kingham, Simon & Tisch, Catherine & Epton, Mike, 2007. "Spatial implications of covariate adjustment on patterns of risk: Respiratory hospital admissions in Christchurch, New Zealand," Social Science & Medicine, Elsevier, vol. 65(1), pages 43-59, July.
    4. Peter Guttorp, 2003. "Environmental Statistics—A Personal View," International Statistical Review, International Statistical Institute, vol. 71(2), pages 169-179, August.
    5. Adam A. Szpiro & Lianne Sheppard & Sara D. Adar & Joel D. Kaufman, 2014. "Estimating acute air pollution health effects from cohort study data," Biometrics, The International Biometric Society, vol. 70(1), pages 164-174, March.
    6. Beatty, Timothy K.M. & Shimshack, Jay P., 2014. "Air pollution and children's respiratory health: A cohort analysis," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 39-57.

  5. Merlise Clyde & Edward I. George, 2000. "Flexible empirical Bayes estimation for wavelets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 681-698.

    Cited by:

    1. Reményi, Norbert & Vidakovic, Brani, 2013. "Λ-neighborhood wavelet shrinkage," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 404-416.
    2. Stuart Barber & Guy P. Nason & Bernard W. Silverman, 2002. "Posterior probability intervals for wavelet thresholding," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 189-205.
    3. Gabriel Huerta, 2005. "Multivariate Bayes Wavelet shrinkage and applications," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(5), pages 529-542.
    4. Abramovich, Felix & Besbeas, Panagiotis & Sapatinas, Theofanis, 2002. "Empirical Bayes approach to block wavelet function estimation," Computational Statistics & Data Analysis, Elsevier, vol. 39(4), pages 435-451, June.
    5. Sonia Petrone & Stefano Rizzelli & Judith Rousseau & Catia Scricciolo, 2014. "Empirical Bayes methods in classical and Bayesian inference," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 201-215, August.
    6. Nilotpal Sanyal & Marco A. R. Ferreira, 2017. "Bayesian Wavelet Analysis Using Nonlocal Priors with an Application to fMRI Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 361-388, November.
    7. P. J. Brown & M. Vannucci & T. Fearn, 2002. "Bayes model averaging with selection of regressors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 519-536.
    8. Joyee Ghosh & Amy H. Herring & Anna Maria Siega-Riz, 2011. "Bayesian Variable Selection for Latent Class Models," Biometrics, The International Biometric Society, vol. 67(3), pages 917-925, September.
    9. Meiri, Ronen & Zahavi, Jacob, 2006. "Using simulated annealing to optimize the feature selection problem in marketing applications," European Journal of Operational Research, Elsevier, vol. 171(3), pages 842-858, June.
    10. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    11. Wang, Y. & Daniels, M.J., 2013. "Bayesian modeling of the dependence in longitudinal data via partial autocorrelations and marginal variances," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 130-140.
    12. Andrew Gelman, 2003. "A Bayesian Formulation of Exploratory Data Analysis and Goodness-of-fit Testing," International Statistical Review, International Statistical Institute, vol. 71(2), pages 369-382, August.

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  1. NEP-ECM: Econometrics (1) 2017-07-30
  2. NEP-EXP: Experimental Economics (1) 2017-07-30
  3. NEP-TID: Technology & Industrial Dynamics (1) 2017-07-30

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