A random sample of curves can be usually thought of as noisy realisations of a compound stochastic process X(t) = Z{W(t)}, where Z(t) produces random amplitude variation and W(t) produces random ...

Journal of Applied Econometrics, Vol. 17, No. 5, Special Issue: Modelling and Forecasting Financial Volatility (Sep. - Oct., 2002), pp. 509-534 (26 pages) Theoretical and practical interest in ...

A likelihood function for the frequency of the A1 allele when 2 A1 alleles are observed in a sample of 10 alleles. The vertical dashed line is drawn through the maximum value of the likelihood ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...