Series
History of Bayesian Theory (part 6/6)

Prof. José-Miguel Bernardo

Resumen

Not yet available.

Sobre la charla

History of Bayesian Theory (part 6/6)
Prof. José-Miguel Bernardo
University of Valencia, Spain
Thursday November 6, 2014 - 11:30 GMT  (Aula)
en     en


iCalendar Google Calendar

Sobre el conferenciante

Personal Page


Personal Data

  • Born in Valencia, Spain.
  • Ph. D. (Mathematics) at University of Valencia (1974).
    Ph. D. (Statistics) at University College London (1976).
  • Professor of Statistics at the University of Valencia, Spain.

Honors

Spanish National Graduation Award (Mathematics); Spanish National Doctorate Award (Mathematics); British Council Research Fellowship; Yale University Postdoctoral Fellowship; Fellow of the American Statistical Association; Académico Correspondiente de la Real Academia de Ciencias de Madrid; Fellow of the Royal Statistical Society; Fellow of the Institute of Statisticians; Elected Member of the International Statistical Institute; Founder co-President of the International Society for Bayesian Analysis 1992-1994; Listed in Who is Who in the World (1984-).


Research Interests

The nature and scope of Bayesian Statistics; The relationship between information theory and statistics; the foundations and the derivation of nonsubjective, reference priors; the foundations of decision theory; Bayesian hypothesis testing and model criticism; point and region intrinsic estimation; probabilistic classification; applications of Bayesian Statistics and decision theory to medical problems (automatic diagnosis), political analysis (election forecasting, sample surveys), and industrial problems (quality assurance).

nonsubjective, reference priors; the foundations of decision theory; Bayesian hypothesis testing and model criticism; point and region intrinsic estimation; probabilistic classification; applications of Bayesian Statistics and decision theory to medical problems (automatic diagnosis), political analysis (election forecasting, sample surveys), and industrial problems (quality assurance).