1. Akaike, H. (1973). Information theory as an extension of the maximum likelihood principle. In B.N. Petrov, & F. Csaki (Eds.), Second international symposium on information theory (pp. 267–281). Budapest: Akademiai Kiado.
2. Bandyopadhyay, P.S., & Boik, R.J. (1999). The curve fitting problem: a Bayesian rejoinder. Philosophy of Science, 66, S390–S402.
3. Bandyopadhyay, P.S., Boik, R.J., Basu, P. (1996). The curve fitting problem: a Bayesian approach. Philosophy of Science, 63, S264–S272.
4. Bayarri, M., DeGroot, M., Kadane, J. (1988). What is the likelihood function? In S. Gupta, & J. Berger (Eds.), Statistical decision theory and related topics IV (pp. 1–27). Springer: New York.
5. Berger, J.O., & Wolpert, R.L. (1984). The likelihood principle. Hayward/CA: Institute of Mathematical Statistics.