Conditional Mean Estimates and Bayesian Hypothesis Testing

IEEE Transactions on Information Theory

Volumn 21, Issue 6, 1975, Pages 663-665

  Schwartz, Stuart C ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY DENSITY FUNCTIONS;

PROBABILITY;

EID: 0016573644     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1975.1055462     Document Type: Article

References (7)

1. T. S. Ferguson, Mathematical Statistics, A Decision Theoretic Approach, New York: Academic, 1967.
2. E. L. Lehmann, Testing Statistical Hypotheses. New York: Wiley, 1959.
3. C. W. Helstrom, Statistical Theory of Signal Detection, 2nd. ed. Elmsford, N.Y.: Pergamon, 1968.
4. R. Esposito, “A class of estimators for optimum adaptive detection,” Inform. Contr., vol. 10, pp. 137–148, Feb. 1967.
5. R. Esposito, “On a relation between detection and estimation in decision theory.” Inform. Contr., vol. 12, pp. 116–120, Feb. 1968.
6. T. Kailath, “A general likelihood-ratio formula for random signals in Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-IS, pp. 350-361, May 1969.
7. S. Schwartz, “Simultaneous detection and estimation for the ex ponential family,” Information Sciences and Systems Lab., Dep, Elec. Eng., Princeton Univ., Princeton, N.J., Tech. Rep. 36, Nov. 1974.