J. M. Bernardo Home Page Summary of Curriculum Selected Publications
Materiales de Enseñanza Valencia Meetings

Selected Publications

Books

Bernardo, J. M. (1981).
Bioestadística: Una Perspectiva Bayesiana. Barcelona: Vicens-Vives.
Out of print. Free copy available at Bioestadistica.pdf.

Bernardo, J. M. and Smith, A. F. M. (1994).
Bayesian Theory. Chichester: Wiley.
Some excerpts from published reviews of Bayesian Theory are available at Bayesian Theory

Edited Books

J. M. Bernardo (ed). (1999).
Bayesian Methods in the Sciences. Madrid: Real Academia de Ciencias.
Preface and contents available at Bayesian Methods in the Sciences

Co-edited Books

Proceedings of the Valencia International Meetings on Bayesian Statistics
  1. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith (eds). (1980).
    Bayesian Statistics. Valencia: University Press.
  2. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith (eds). (1985).
    Bayesian Statistics 2. Amsterdam: North-Holland.
  3. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith (eds). (1988).
    Bayesian Statistics 3. Oxford: Oxford University Press.
  4. J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (eds). (1992).
    Bayesian Statistics 4. Oxford: Oxford University Press.
  5. J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (eds). (1996).
    Bayesian Statistics 5. Oxford: Oxford University Press.
  6. J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (eds). (1999).
    Bayesian Statistics 6. Oxford: Oxford University Press.
    Contents available at Valencia6
  7. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (eds). (2003).
    Bayesian Statistics 7. Oxford: Oxford University Press.
    Preface and contents available at Valencia7
  8. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (eds). (2007).
    Bayesian Statistics 8. Oxford: Oxford University Press.
    Preface and contents available at Valencia8
  9. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (eds). (2011).
    Bayesian Statistics 9. Oxford: Oxford University Press.
    Preface and contents available at Valencia9

Articles

  1. Bernardo, J. M. (1975). Information theory and decision making.
    Theories of Decision in Practice (D. J. White and K. C. Bowen, eds).
    London: Hodder and Stoughton, 247-251.
  2. Bernardo, J. M. (1975). Tamaño óptimo una muestra, solución Bayesiana.
    Trabajos de Estadística 26, 83-92. Trabajos1975.pdf
  3. Bernardo, J. M. (1975). ¿Es Vd. ortodoxo o Bayesiano?
    Trabajos de Estadística 26, 519--522.
  4. Bernardo, J. M. (1976). The Psi (Digamma) function: An algorithm.
    Applied Statistics 25, 315-317.
  5. Bernardo, J. M. (1977). Inference about the ratio of normal means:
    A Bayesian approach to the Fieller-Creasy problem.
    Recent Developments in Statistics (J. R. Barra et al. eds).
    Amsterdam: North-Holland, 345-350. Grenoble1977.pdf
  6. Bernardo, J. M. (1977). Information theory and Bayesian design of experiments.
    Information Theory and Statistical Decision Functions A (M. Ullrich ed.)
    Prague: Czechoslovak Academy of Sciences, 21-28.
  7. Bernardo, J. M. (1977). Inferencia Bayesiana sobre el coeficiente de variación:
    Una solución a la paradoja de marginalización.
    Trabajos de Estadística 28, 23-40. Trabajos1977.pdf
  8. Bernardo, J. M. (1978). Métodos Bayesianos y diagnóstico clínico.
    Estadística Española 78, 39--56.
  9. Bernardo, J. M. (1978). Una medida de la información útil proporcionada por un experimento.
    Rev. Real Academia de Ciencias 72, 419-440.
  10. Basulto, J. and Bernardo, J. M. (1977). Análisis Bayesiano de un proceso binomial.
    Trabajos de Estadística 29, 3-27
  11. Bernardo, J. M. (1978). Unacceptable implications of the left Haar measure in a standard normal theory inference problem.
    Trabajos de Estadística 29, 3-9. Trabajos1978.pdf
  12. Bernardo, J. M. and Basulto, J. (1978). Quantifying the initial information about the parameter of a Bernoulli process.
    I Fondamenti dell'Inferenza Statistica (G. Parenti, ed).
    Firenze: Universita degli Studi, 341-350.
  13. Bernardo, J. M. (1979). Expected information as expected utility.
    The Annals of Statistics 7, 686-690. AnnStatist1979.pdf
  14. Bernardo, J. M. (1979). Reference posterior distributions for Bayesian inference.
    J. Royal Statistical Society B 41, 113-147 (with discussion).
    Reprinted in Bayesian Inference 1 (G. C. Tiao and N. G. Polson, eds).
    Oxford: Edward Elgar, 229-263. JRSSB1979.pdf
  15. Bernardo, J. M. (1979). Comportamiento asintótico de la información proporcionada por un experimento.
    Rev. Real Academia de Ciencias 73, 491-502.
  16. Bernardo, J. M. (1980). El concepto de aproximación en la metodología estadística.
    Rev. Real Academia de Ciencias 74, 307-309.
  17. Bernardo, J. M. (1980). A Bayesian analysis of classical hypothesis testing.
    Bayesian Statistics (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds).
    Valencia: Valencia University Press, 605-647 (with discussion).
  18. Bernardo, J. M. (1981). ll ruolo della teoria dell'informazione in statistica.
    Teoria delle Decisioni in Medicina (E. Girelli-Bruni, ed).
    Verona: Bertani, 89-99.
  19. Bernardo, J. M. (1981). Reference decisions.
    Symposia Mathematica 25, 85-94.
  20. Bernardo, J. M. (1982). Contraste de modelos probabilísticos desde una perpectiva Bayesiana.
    Trabajos de Estadística 33, 16-30.
  21. Bernardo, J. M. (1982). A decision theoretical approach to logistic classification.
    Time Series Analysis 3 (O. D. Anderson, ed.)
    Amsterdam: North-Holland, 51-59.
  22. Bernardo, J. M. and Girón, F, J. (1983). On the foundations of statistics and decision theory.
    Trabajos de Estadística 34, 107-131.
  23. Bernardo, J. M. (1984). Monitoring the 1982 Spanish Socialist victory: A Bayesian analysis.
    J. American Statistical Association 79, 510-515. 1984JASA.pdf
  24. Bernardo, J. M. (1985). On a famous problem of induction.
    Trabajos de Estadística 36, 24-30. 1985TrabEstad.pdf
  25. Bernardo, J. M. (1985). Análisis bayesiano de los contrastes de hipótesis paramétricos.
    Trabajos de Estadística 36, 45-54.
  26. Bernardo, J. M. and Bayarri, M. J. (1985). Bayesian model criticism.
    Model Choice (J. P. Florens et al. eds).
    Bruxelles: Pub. Fac. Univ. Saint Louis, 43-59.
  27. Bernardo, J. M. and Bermúdez, J. D. (1985). The choice of variables in probabilistic classification.
    Bayesian Statistics 2 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith eds).
    Amsterdam: North-Holland, 67-81 (with discussion).
  28. Bernardo, J. M., Ferrándiz, J. R. and Smith, A. F. M. (1985). The foundations of decision theory:
    An intuitive, operational approach with mathematical extensions.
    Theory and Decision 18,127-150.
  29. Bernardo, J. M. (1986). Diagnóstico automático en Medicina.
    Estadística Española 108, 19-34. diagnostico.pdf
  30. Bernardo, J. M. (1987). Approximations in statistics from a decision-theoretical viewpoint.
    Probability and Bayesian Statistics (R. Viertl, ed).
    New York: Plenum, 53-60.
  31. Bermúdez, J. D., Bernardo, J. M. and Sendra, M. (1987). Classification problems in education.
    The Statistician 36, 107-113. Education.pdf 
  32. Bernardo, J. M. (1988). Bayesian linear probabilistic classification.
    Statistical Decision Theory and Related Topics 4 (S. S. Gupta and J. O. Berger, eds).
    New York: Springer, 151-162. LinearClassification.pdf
  33. Bernardo, J. M. and Girón, F. J. (1988). A Bayesian analysis of simple mixture problems.
    Bayesian Statistics 3 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds).
    Oxford: Oxford University Press, 67-78 (with discussion). Mixtures.pdf
  34. Bernardo, J. M. and Girón, F. J. (1988). A Bayesian approach to cluster analysis.
    Questió 12, 97-112. BayesCluster.pdf
  35. Berger, J. O. and Bernardo, J. M. (1989). Estimating a product of means:
    Bayesian analysis with reference priors.
    J. American Statistical Association 84, 200-207. ProductMeans.pdf
  36. Berger, J. O., Bernardo, J. M. and Mendoza, M. (1989). On priors that maximize expected information.
    Recent Developments of Statistics and its Applications (J. Klein and J. Lee, eds).
    Seoul: Freedom Academy, 1-20. MaxExpectedInfo.pdf
  37. Bernardo, J. M. (1989). Análisis de datos y métodos bayesianos.
    Historia de la Ciencia Estadística (S. Ríos, ed).
    Madrid: Real Academia de Ciencias, 87-105. Reprinted in Pro Mathematica 2 (1989), 27-55. MetodosBayesianos.pdf
  38. Bernardo, J. M. (1990). Bayesian election forecasting.
    The New Zealand Statistician 25, 66-73.
  39. Bernardo, J. M. (1992). Simulated annealing in Bayesian decision theory.
    Computational Statistics (Y. Dodge and J. Whittaker, eds).
    Heidelberg: Physica-Verlag, 547-552.
  40. Berger, J. O. and Bernardo, J. M. (1992). Reference priors in a variance components problem.
    Bayesian Analysis in Statistics and Econometrics (P. K. Goel and N. S. Iyengar eds).
    New York: Springer-Verlag, 177-194. 1992Springer.pdf
  41. Berger, J. O. and Bernardo, J. M. (1992). Ordered group reference priors, with applications to multinomial problems.
    Biometrika 79, 25-37 Multinomial.pdf
  42. Berger, J. O. and Bernardo, J. M. (1992). On the development of reference priors.
    Bayesian Statistics 4 (J. M. Bernardo, J. O. Berger, D. V. Lindley and A. F. M. Smith, eds).
    Oxford: Oxford University Press, 35-60 (with discussion). RefPriors.pdf
  43. Bernardo, J. M. and Girón, F. J. (1992). Robust sequential prediction from non-random samples:
    The election night forecasting.
    Bayesian Statistics 4 (J. M. Bernardo, J. O. Berger, D. V. Lindley and A. F. M. Smith, eds).
    Oxford: Oxford University Press, 3-60 (with discussion). ElectionNight.pdf
  44. Bernardo, J. M. and Muñoz, J. (1993). Bayesian analysis of population evolution.
    The Statistician 42, 541-550.
  45. Bernardo, J. M. (1994). Bayesian estimation of political transition matrices.
    Statistical Decision Theory and Related Topics 5 (S. S. Gupta and J. O. Berger, eds).
    New York: Springer, 135-140.
  46. Bernardo, J. M. (1994). Optimizing prediction with hierarchical models.
    Aspects of Uncertainty: a Tribute to D. V. Lindley (A. F. M. Smith and P. R. Freeman, eds).
    Chichester: Wiley, 67-76. Prediction.pdf
  47. Bernardo, J. M. (1996). The concept of exchangeability and its applications.
    Far East J. Mathematical Sciences 4, 111-121. Exchangeability.pdf
  48. Bernardo, J. M. and Irony, T. Z. (1996). A general multivariate Bayesian process capability analysis.
    The Statistician 45, 487-502. Capability.pdf
  49. Bernardo, J. M. (1997). Statistical inference as a decision problem: The choice of the sample size.
    The Statistician 46, 151-153. Sample Size.pdf
  50. Bernardo, J. M. (1997) . Probing public opinion: The State of Valencia experience.
    Bayesian Case Studies 3 (C. Gatsonis, J. S. Hodges, R. E. Kass, McCulloch, R., Rossi, P. and N. D. Singpurwalla, eds.)
    New York: Springer, 3--35 (with discusssion). Public Opinion.pdf, Rejoinder.pdf
  51. Bernardo, J. M. (1997). Noninformative priors do not exist: A discussion.
    J. Statistics Planning and Inference 65, 159-189 (with discusssion). Dialogue.pdf, Rejoinder.pdf
  52. Bernardo, J. M. (1998). Bruno de Finetti en la estadística contemporánea.
    Historia de la Matemática en el Siglo XX (S. Ríos, ed).
    Madrid: Real Academia de Ciencias, 63-80. DeFinetti.pdf (in Spanish)
  53. Bernardo, J. M. (1998). An decision analysis approach to multiple choice examinations.
    Applied Decision Analysis (F. J. Girón, ed)
    Boston: Kluwer, 195--207. MultipleChoice.pdf
  54. Bernardo, J. M. (1998). Bayesian hypothesis testing: a reference analyisis.
    Model Selection (W. Racugno, ed.)
    Bologna: Pitagora, 51--78 (with discussion).MultipleChoice.pdf
  55. Bernardo, J. M. and Ramón, J. M. (1998). An introduction to Bayesian reference analysis:
    Inference on the ratio of multinomial parameters
    J. Royal Statistical Society D 47, 101-135. Introd Reference Analysis.pdf
  56. Bernardo, J. M. (1999). Nested hypothesis testing: The Bayesian reference criterion.
    Bayesian Statistics 6 (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds).
    Oxford: Oxford University Press, 101--130 (with discussion). HypothesisTesting.pdf
  57. Bernardo, J. M. (1999). Design techniques for probabilistic sampling of items with variable monetary value.
    Multivariate Analysis, Design of Experiments, and Survey Sampling (S. Ghosh, ed).
    New York: Marcel Dekker, 55--68.
  58. Bernardo, J. M. (1999). Ley d'Hondt y elecciones catalanas.
    El País, Nov. 2nd, 1999. LeydHondt.pdf (in Spanish)
  59. Bernardo, J. M. (1999). The Valencia story.
    ISBA Newsletter 6, 7-11. ValenciaStory.pdf
  60. Bernardo, J. M. (1999). Model-Free objective Bayesian prediction.
    Rev. Real Academia Ciencias Madrid 93, 295-302. BayesianKernel.pdf
  61. Bernardo, J. M. (2000). Mètodes estadístics contemporanis en la investigació científica: Anàlisi bayesià.
    Mètode 24, 32-34. Divulgación.pdf (in Spanish)
  62. Bernardo, J. M. (2002). Un programa de síntesis para la enseñanza universitaria de la Estadística Matemática contemporánea.
    Rev. Real Acad. Ciencias 95, 81-99. ProgSintesis.pdf (in Spanish). slides.pdf
  63. Bernardo, J. M. (2002). Una introducció a l'estadística bayesiana;.
    Butl. Societat Catalana de Matemàtiques 17, 7-64. EstadBayesiana.pdf (in Catalan)
  64. Bernardo, J. M. and Rueda, R. (2002). Bayesian hypothesis testing: A reference approach.
    International Statistical Review 70, 351-372. BayesTest.pdf
  65. Girón, F. J. and Bernardo, J. M. (2002). El control de la incertidumbre: El cálculo de probabilidades y la teoría de la utilidad.
    Horizontes Culturales: Las Fronteras de la Ciencia (G. Millán, ed). Madrid: Espasa, 205--215. ControlIncertidumbre.pdf
  66. Bernardo, J. M. and Juárez, M. A. (2003). Intrinsic Estimation.
    Bayesian Statistics 7 (J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds).
    Oxford: Oxford University Press, 465-476. IntrinsicEstimation.pdf
  67. Bernardo, J. M. (2003). A Bayesian approach to some cryptic issues on the nature of statistical inference.
    International Statistical Review 71, 307-314. CrypticIssues.pdf
  68. Bernardo, J. M. (2003). Bayesian Statistics.
    Encyclopedia of Life Support Systems (EOLSS). Probability and Statistics, (R. Viertl, ed).
    Oxford, UK: UNESCO (www.eolss.net) BayesStat.pdf
  69. Bernardo, J. M. (2004). Una alternativa a la ley d'Hondt.
    El País, March 2nd, 2004. AltDHondt.pdf (in Spanish)
  70. Bernardo, J. M. (2004). Interpretação de resultados eleitorais: uma análise bayesiana.
    Teias Matemáticas (M. P. Serra de Oliveira, ed.) Coimbra: Gradiva, 63--75. Coimbra.pdf (in English)
  71. Bernardo, J. M. (2005). Reference analysis.
    Handbook of Statistics 25 (D. K. Dey and C. R. Rao eds.). Amsterdam: Elsevier, 17--90. Reference Analysis.pdf
  72. Bernardo, J. M. (2005). Intrinsic credible regions: An objective Bayesian approach to interval estimation.
    Test 14, 317-384 (invited paper, with discussion). Test2005.pdf
  73. Bernardo, J. M. (2006). Intrinsic point estimation of the normal variance.
    Bayesian Statistics and its Applications. (S. K. Upadhyay, U. Singh and D. K. Dey, eds.) New Delhi: Anamaya Pub, 110-121. Varanasi2006.pdf
  74. Bernardo, J. M. (2006). A Bayesian mathematical statistics primer.
    Proc. 7th International Conference on Teaching Statistics 3I (A. Rossman and B. Chance, eds.) Amsterdam: IASE, ISI (invited paper) Bahia2006.pdf
  75. Bernardo, J. M. and Pérez, S. (2007). Comparing normal means: New methods for an old problem.
    Bayesian Analysis 2, 45-58. Valencia8.pdf
    Synopsis in Bayesian Statistics 8 (J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds). Oxford: Oxford University Press, 571-576. synopsis.pdf
  76. Bernardo, J. M. (2007). Objective Bayesian point and region estimation in location-scale models.
    Sort 31, 3-44 (invited paper, with discussion). Sort2007.pdf
  77. Barrera, M., Romero, L, Nuñez-Lagos, R. and Bernardo, J. M. (2007). A Bayesian approach to assess data from radionuclide activity analysis in environmental samples.
    Analytica Chimica Acta 604, 197-202. AnalyticaChimica.pdf
  78. Girón, F. J. and Bernardo, J. M. (2007). Las matemáticas de los sistemas electorales.
    Rev. Real Academia de Ciencias 101, 21-33. Academia2007.pdf
  79. Bernardo, J. M. (2008). Bayesian statistics.
    The New Palgrave Dictionary of Economics, 2nd Edition. (S. N. Durlauf and L. E. Blume, eds.) New York: Palgrave Macmillan. Palgrave2008.pdf
    Online edition at www.dictionaryofeconomics.com
  80. Tomazella, V., Martins C. and Bernardo, J. M.  (2008). Inference on the univariate frailty model: A Bayesian reference analysis approach. Bayesian Inference and Maximum Entropy Methods in Science and Engineering. (Proc. 28th MaxEnt).  New York: API Conf. Proc. 1073, 340-347. FrailtyModel.pdf
  81. Bernardo, J. M. (2009). Statistics: Bayesian methodology in statistics.
    Comprehensive Chemometrics (S. Brown, R. Tauler and R. Walczak eds.) Oxford: Elsevier.
  82. Berger, J. O., Bernardo, J. M. and Sun, D. (2009). The formal definition of reference priors.
    Annals of Statistics 37 , 905-938. FormalDefinition.pdf
  83. Berger, J. O., Bernardo, J. M. and Sun, D. (2009). Natural induction: An objective Bayesian approach.
    Rev. Acad. Sci. Madrid, A 103, 125-159 (invited paper with discussion). Induction.pdf
  84. Bernardo, J. M. (2009). Forecasting the final results in election day: A Bayesian analysis.
    Classification and Data Analysis 2009 (S. Ingrassia and R. Rocci, eds.) Padova: Cleup, 241-244. Elections.pdf 
  85. Bernardo, J. M. and Tomazella, V. (2010). Bayesian reference analysis of the Hardy-Weinberg equilibrium.
    Frontiers of Statistical Decision Making and Data Analysis. In Honor of James O. Berger (M.-H. Chen, D. K. Dey, P. Müller, D. Sun and K. Ye, eds.) New York: Springer, 31-43. HardyWeinberg.pdf
  86. Bernardo, J. M. and Tomazella, V. (2011). Objective Bayesian reference analysis for the Poisson process model in presence of recurrent events data. Test 20, 204-221.  Poisson.pdf 
  87. Bernardo, J. M. (2011). Integrated objective Bayesian Estimation and hypothesis testing.
    Bayesian Statistics 9 (J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds). Oxford: Oxford University Press, 1-68 (with discussion). Valencia9.pdf, SlidesV9.pdf
  88. Bernardo, J. M. (2011). Modern Bayesian inference: Foundations and objective methods. Philosophy of Statistics (P. S. Bandyopadhyay and M. R. Forster, eds.) Amsterdam: Elsevier, 263–306. BayesInference.pdf
  89. Bernardo, J. M. (2011). Bayes and discovery: Objective Bayesian hypothesis testing. PHY- STAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding (H. B. Prosper and L. Lyons, eds.). Geneva: CERN, 27-49 (with discussion). BayesAndDiscovery.pdf
  90. Berger, J. O., Bernardo, J. M. and Sun, D. (2012). Objective priors for discrete parameter spaces.
    J. Amer. Statist. Assoc. 107, 636-648. Discrete.pdf
  91. Berger, J. O., Bernardo, J. M. and Sun, D. (2015). Overall objective priors.
    Bayesian Analysis 10, 189-246 (with discussion). Overall.pdf 
  92. Bernardo, J. M. (2015). Comparing proportions: A modern solution to a classical problem. 
    Current Trends in Bayesian Methodology with Applications (D. K. Dey, U. Singh and A. Loganathan, eds.). Boca Raton, FL, USA: CRC Press, 59-78.  Trends.pdf 
  93. Berger, J. O., Bernardo, J. M. and Sun, D. (2022). Objective Bayesian inference and its relationship to frequentism. 
    Handbook of Bayesian Fiducial and Frequentist Inference  (J. O. Berger, X.-L. Meng, N. Reid and M. Xie eds.).  Hoboken, NJ, USA: Blackwell   (in press). OBayes.pdf 
  94. Berger, J. O., Bernardo, J. M. and Sun, D. (2023).
    Objective Bayesian Inference . Singapore: World Scientific Pub. Co.  (to appear).
J. M. Bernardo Home Page Summary of Curriculum Selected Publications
Materiales de Enseñanza Valencia Meetings
José M. Bernardo. Departamento de Estadística e I. O., Universitat de València, Spain.