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Bayesian modal regression based on mixture distributions. (2024). Huang, Xianzheng ; Bai, Ray ; Liu, Qingyang.
In: Computational Statistics & Data Analysis.
RePEc:eee:csdana:v:199:y:2024:i:c:s0167947324000963.

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  1. Agresti, A. ; Franklin, C. ; Klingenberg, B. Statistics: The Art and Science of Learning from Data. 2021 Pearson Education:
    Paper not yet in RePEc: Add citation now
  2. Arellano-Valle, R.B. ; Azzalini, A. The centred parametrization for the multivariate skew-normal distribution. 2008 J. Multivar. Anal.. 99 1362-1382

  3. Aristodemou, K. New regression methods for measures of central tendency. 2014 Brunel University:
    Paper not yet in RePEc: Add citation now
  4. Azzalini, A. The Skew-Normal and Related Families. 2013 Cambridge University Press:
    Paper not yet in RePEc: Add citation now
  5. Behboodian, J. On the modes of a mixture of two normal distributions. 1970 Technometrics. 12 131-139
    Paper not yet in RePEc: Add citation now
  6. Benhabib, J. ; Bisin, A. Skewed wealth distributions: theory and empirics. 2018 J. Econ. Lit.. 56 1261-1291

  7. Bhadra, A. ; Datta, J. ; Polson, N.G. ; Willard, B. Lasso meets horseshoe: a survey. 2019 Stat. Sci.. 34 405-427
    Paper not yet in RePEc: Add citation now
  8. Boos, D.D. ; Stefanski, L.A. Essential Statistical Inference: Theory and Methods. 2013 Springer:
    Paper not yet in RePEc: Add citation now
  9. Bourguignon, M. ; Leão, J. ; Gallardo, D.I. Parametric modal regression with varying precision. 2020 Biom. J.. 62 202-220
    Paper not yet in RePEc: Add citation now
  10. Box, G.E. ; Tiao, G.C. A Bayesian approach to some outlier problems. 1968 Biometrika. 55 119-129
    Paper not yet in RePEc: Add citation now
  11. Carpenter, B. ; Gelman, A. ; Hoffman, M.D. ; Lee, D. ; Goodrich, B. ; Betancourt, M. ; Brubaker, M. ; Guo, J. ; Li, P. ; Riddell, A. Stan: a probabilistic programming language. 2017 J. Stat. Softw.. 76 1-32

  12. Chen, Y.C. Modal regression using kernel density estimation: a review. 2018 Wiley Interdiscip. Rev.: Comput. Stat.. 10 -
    Paper not yet in RePEc: Add citation now
  13. Chen, Y.C. ; Genovese, C.R. ; Tibshirani, R.J. ; Wasserman, L. Nonparametric modal regression. 2016 Ann. Stat.. 44 489-514
    Paper not yet in RePEc: Add citation now
  14. da Silva, N.B. ; Prates, M.O. ; Gonçalves, F.B. Bayesian linear regression models with flexible error distributions. 2020 J. Stat. Comput. Simul.. 90 2571-2591
    Paper not yet in RePEc: Add citation now
  15. Dalenius, T. The mode–a neglected statistical parameter. 1965 J. R. Stat. Soc. A, General. 128 110-117
    Paper not yet in RePEc: Add citation now
  16. Diebolt, J. ; Robert, C.P. Estimation of finite mixture distributions through Bayesian sampling. 1994 J. R. Stat. Soc., Ser. B, Stat. Methodol.. 56 363-375
    Paper not yet in RePEc: Add citation now
  17. Durante, D. Conjugate Bayes for probit regression via unified skew-normal distributions. 2019 Biometrika. 106 765-779

  18. Ekawati, D. ; Warsono, W. ; Kurniasari, D. On the moments, cumulants, and characteristic function of the log-logistic distribution. 2015 IPTEK J. Technol. Sci.. 25 78-82
    Paper not yet in RePEc: Add citation now
  19. Fernández, C. ; Steel, M.F. On Bayesian modeling of fat tails and skewness. 1998 J. Am. Stat. Assoc.. 93 359-371
    Paper not yet in RePEc: Add citation now
  20. Gagnon, P. ; Desgagné, A. ; Bédard, M. A new Bayesian approach to robustness against outliers in linear regression. 2020 Bayesian Anal.. 15 389-414
    Paper not yet in RePEc: Add citation now
  21. Gelman, A. ; Carlin, J.B. ; Stern, H.S. ; Dunson, D.B. ; Vehtari, A. ; Rubin, D.B. Bayesian Data Analysis. 2013 CRC Press:
    Paper not yet in RePEc: Add citation now
  22. George, E.I. ; McCulloch, R.E. Variable selection via Gibbs sampling. 1993 J. Am. Stat. Assoc.. 88 881-889
    Paper not yet in RePEc: Add citation now
  23. Geweke, J. Bayesian treatment of the independent Student-t linear model. 1993 J. Appl. Econom.. 8 S19-S40

  24. Griffin, J.E. ; Brown, P.J. Bayesian global-local shrinkage methods for regularisation in the high dimension linear model. 2021 Chemom. Intell. Lab. Syst.. 210 -
    Paper not yet in RePEc: Add citation now
  25. Hjalmarsson, R. ; Lochner, L. The impact of education on crime: International evidence. 2012 :

  26. Ho, C.S. ; Damien, P. ; Walker, S. Bayesian mode regression using mixtures of triangular densities. 2017 J. Econom.. 197 273-283

  27. Hoffman, M.D. ; Gelman, A. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. 2014 J. Mach. Learn. Res.. 15 1593-1623
    Paper not yet in RePEc: Add citation now
  28. Isaacs, D. ; Altman, D. ; Tidmarsh, C. ; Valman, H. ; Webster, A. Serum immunoglobulin concentrations in preschool children measured by laser nephelometry: reference ranges for IgG, IgA, IgM. 1983 J. Clin. Pathol.. 36 1193-1196
    Paper not yet in RePEc: Add citation now
  29. Koenker, R. ; Chernozhukov, V. ; He, X. ; Peng, L. Handbook of Quantile Regression. 2017 Chapman and Hall/CRC:
    Paper not yet in RePEc: Add citation now
  30. Koenker, R. ; Machado, J.A. Goodness of fit and related inference processes for quantile regression. 1999 J. Am. Stat. Assoc.. 94 1296-1310
    Paper not yet in RePEc: Add citation now
  31. Lange, K.L. ; Little, R.J. ; Taylor, J.M. Robust statistical modeling using the t distribution. 1989 J. Am. Stat. Assoc.. 84 881-896
    Paper not yet in RePEc: Add citation now
  32. Lee, M.J. Mode regression. 1989 J. Econom.. 42 337-349
    Paper not yet in RePEc: Add citation now
  33. Lee, M.J. Quadratic mode regression. 1993 J. Econom.. 57 1-19

  34. Liu, Q. ; Huang, X. ; Zhou, H. The flexible Gumbel distribution: a new model for inference about the mode. 2024 Stats. 7 317-332

  35. Lochner, L. Chapter 9 - education and crime. 2020 En : Bradley, S. ; Green, C. The Economics of Education. Academic Press:
    Paper not yet in RePEc: Add citation now
  36. Menezes, A.F. ; Mazucheli, J. ; Chakraborty, S. A collection of parametric modal regression models for bounded data. 2021 J. Biopharm. Stat.. 31 490-506
    Paper not yet in RePEc: Add citation now
  37. Mitchell, T. ; Beauchamp, J. Bayesian variable selection in linear regression. 1988 J. Am. Stat. Assoc.. 83 1023-1032
    Paper not yet in RePEc: Add citation now
  38. Neal, R.M. MCMC using Hamiltonian dynamics. 2011 En : Brooks, S. ; Gelman, A. ; Jones, G. ; Meng, X.L. Handbook of Markov Chain Monte Carlo. Chapman and Hall/CRC:
    Paper not yet in RePEc: Add citation now
  39. Ota, H. ; Kato, K. ; Hara, S. Quantile regression approach to conditional mode estimation. 2019 Electron. J. Stat.. 13 3120-3160
    Paper not yet in RePEc: Add citation now
  40. R Core Team, R: A Language and Environment for Statistical Computing. 2022 R Foundation for Statistical Computing: Vienna, Austria
    Paper not yet in RePEc: Add citation now
  41. Robert, C.P. ; Casella, G. Monte Carlo Statistical Methods. 2004 Springer: New York
    Paper not yet in RePEc: Add citation now
  42. Ročková, V. ; George, E.I. The spike-and-slab lasso. 2018 J. Am. Stat. Assoc.. 113 431-444

  43. Ronchetti, E.M. ; Huber, P.J. Robust Statistics. 2009 Wiley:
    Paper not yet in RePEc: Add citation now
  44. Royston, P. ; Altman, D.G. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. 1994 J. R. Stat. Soc., Ser. C, Appl. Stat.. 43 429-453

  45. Rubio, F. ; Steel, M. Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions. 2015 Electron. J. Stat.. 9 1884-1912
    Paper not yet in RePEc: Add citation now
  46. Sager, T.W. ; Thisted, R.A. Maximum likelihood estimation of isotonic modal regression. 1982 Ann. Stat.. 10 690-707
    Paper not yet in RePEc: Add citation now
  47. Shin, J.Y. ; Chen, S. ; Kim, T.W. Application of Bayesian Markov Chain Monte Carlo method with mixed Gumbel distribution to estimate extreme magnitude of tsunamigenic earthquake. 2015 KSCE J. Civ. Eng.. 19 366-375
    Paper not yet in RePEc: Add citation now
  48. Siegel, A.F. Practical Business Statistics. 2016 Academic Press:
    Paper not yet in RePEc: Add citation now
  49. Sitek, G. The modes of a mixture of two normal distributions. 2016 Sil. J. Pure Appl. Math.. 6 59-67
    Paper not yet in RePEc: Add citation now
  50. Smith, R.L. Statistics of extremes, with applications in environment, insurance, and finance. 2003 En : Finkenstadt, B. ; Rootzen, H. Extreme Values in Finance, Telecommunications, and the Environment. Chapman and Hall/CRC:
    Paper not yet in RePEc: Add citation now
  51. Spiegelhalter, D.J. ; Best, N.G. ; Carlin, B.P. ; Van Der Linde, A. Bayesian measures of model complexity and fit. 2002 J. R. Stat. Soc., Ser. B, Stat. Methodol.. 64 583-639

  52. Teicher, H. Identifiability of finite mixtures. 1963 Ann. Math. Stat.. 34 1265-1269
    Paper not yet in RePEc: Add citation now
  53. van de Bovenkamp, F.S. ; Hafkenscheid, L. ; Rispens, T. ; Rombouts, Y. The emerging importance of IgG Fab glycosylation in immunity. 2016 J. Immunol.. 196 1435-1441
    Paper not yet in RePEc: Add citation now
  54. Vehtari, A. ; Gelman, A. ; Gabry, J. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. 2017 Stat. Comput.. 27 1413-1432
    Paper not yet in RePEc: Add citation now
  55. Venables, W.N. ; Ripley, B.D. Modern Applied Statistics with S-PLUS. 2013 Springer:
    Paper not yet in RePEc: Add citation now
  56. Vidal, I. A Bayesian analysis of the Gumbel distribution: an application to extreme rainfall data. 2014 Stoch. Environ. Res. Risk Assess.. 28 571-582
    Paper not yet in RePEc: Add citation now
  57. Watanabe, S. ; Opper, M. Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. 2010 J. Mach. Learn. Res.. 11 3571-3594
    Paper not yet in RePEc: Add citation now
  58. Xiang, S. ; Yao, W. Modal regression for skewed, truncated, or contaminated data with outliers. 2022 En : He, W. ; Wang, L. ; Chen, J. ; Lin, C.D. Advances and Innovations in Statistics and Data Science.. Springer:
    Paper not yet in RePEc: Add citation now
  59. Yao, W. ; Li, L. A new regression model: modal linear regression. 2014 Scand. J. Stat.. 41 656-671

  60. Yu, K. ; Moyeed, R.A. Bayesian quantile regression. 2001 Stat. Probab. Lett.. 54 437-447

  61. Yu, K. ; Zhang, J. A three-parameter asymmetric Laplace distribution and its extension. 2005 Commun. Stat., Theory Methods. 34 1867-1879
    Paper not yet in RePEc: Add citation now
  62. Zhou, H. ; Huang, X. Bayesian beta regression for bounded responses with unknown supports. 2022 Comput. Stat. Data Anal.. 167 -

  63. Zhou, H. ; Huang, X. Parametric mode regression for bounded responses. 2020 Biom. J.. 62 1791-1809
    Paper not yet in RePEc: Add citation now

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