Bayesian Approach to the Best Estimate of the Hubble Constant
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Abstract
A Bayesian approach is used to derive the probability distribution (PD) of the Hubble constant H0 from recent measurements including supernovae Ia, the Tully-Fisher relation, population II and physical methods. The discrepancies among these PDs are briefly discussed. The combined value of all the measurements is obtained, with a 95% confidence interval of 58.7 < H0 < 67.3 (km.s-1.Mpc-1).
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WANG Xiao-Feng, CHEN-Li, LI Zong-Wei. Bayesian Approach to the Best Estimate of the Hubble Constant[J]. Chin. Phys. Lett., 2001, 18(1): 154-156.
WANG Xiao-Feng, CHEN-Li, LI Zong-Wei. Bayesian Approach to the Best Estimate of the Hubble Constant[J]. Chin. Phys. Lett., 2001, 18(1): 154-156.
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WANG Xiao-Feng, CHEN-Li, LI Zong-Wei. Bayesian Approach to the Best Estimate of the Hubble Constant[J]. Chin. Phys. Lett., 2001, 18(1): 154-156.
WANG Xiao-Feng, CHEN-Li, LI Zong-Wei. Bayesian Approach to the Best Estimate of the Hubble Constant[J]. Chin. Phys. Lett., 2001, 18(1): 154-156.
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