J. W. Pratt. Concavity of the log likelihood. Journal of the American Statistical Association, 76 (373):103--106, 1981.  Home/Search Document Not in Database Summary Related Articles Check |
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Fisher's Method Of Scoring - Osborne (1992) (1 citation) (Correct)
....algorithm. To make further progress it is convenient to assume convergence to a local minimum b fi which is a consistent estimate of the true parameter vector fi . This need not be too extreme an assumption in the likelihood case when the objective function can have good convexity properties [18]. The rate of convergence can now be estimated using essentially the same argument as in [16] 17] For this reason only the estimating equation case is considered here. The argument goes in two stages. In the first it is shown that = 1 will satisfy the step choice criterion when the current ....
J.W. Pratt, Concavity of the log likelihood, J. Amer. Stat. Assoc. 76 (1981), 103--106.
Gaussian Processes for Ordinal Regression - Chu, Ghahramani (2005) (1 citation) (Correct)
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J. W. Pratt. Concavity of the log likelihood. Journal of the American Statistical Association, 76 (373):103--106, 1981.
Saddlepoint Approximations for the Difference of Order.. - Ma, Robinson (1997) (Correct)
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Plan. Infer. 50, 91-102. Pratt, J. (1981). Concavity of the log likelihood. JASA 76, 103-106.
Estimation of Discrete Response Models Under Multiplicative.. - Chen, Khan (1999) (Correct)
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Pratt, J.W. (1981), "Concavity of the Log Likelihood", Journal of the American Statistical Association, 76, 103-106
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