Bartlett Identities and Large Deviations in Likelihood Theory
نویسندگان
چکیده
The connection between large and small deviation results for the signed square root statistic R is studied, both for likelihoods and for likelihood-like criterion functions. We show that if p − 1 Barlett identities are satisfied to first order, but the pth identity is violated to this order, then cumq R = O n−q/2 for 3 ≤ q < p, whereas cump R = κpn− p−2 /2 + O n−p/2 . We also show that the large deviation behavior of R is determined by the values of p and κp. The latter result is also valid for more general statistics. Affine (additive and/or multiplicative) correction to R and R2 are special cases corresponding to p = 3 and 4. The cumulant behavior of R gives a way of characterizing the extent to which R-statistics derived from criterion functions other than log likelihoods can be expected to behave like ones derived from true log likelihoods, by looking at the number of Bartlett identities that are satisfied. Empirical and nonparametric survival analysis type likelihoods are analyzed from this perspective via the device of “dual criterion functions.”
منابع مشابه
Cumulants and Bartlett Identities in Cox Regression
Expressions are found for the cumulants needed to analyze and improve the accuracy of Cox regression up to order O(n−3/2), and consistent estimators for these are given. In addition, the Bartlett identities are shown to hold for the Cox partial likelihood (and, in a broad sense, for partial likelihood in general), so that the cumulant estimators found can be used to adjust statistics in accorda...
متن کاملAccurate Inference for the Mean of the Poisson-Exponential Distribution
Although the random sum distribution has been well-studied in probability theory, inference for the mean of such distribution is very limited in the literature. In this paper, two approaches are proposed to obtain inference for the mean of the Poisson-Exponential distribution. Both proposed approaches require the log-likelihood function of the Poisson-Exponential distribution, but the exact for...
متن کاملLikelihood computations without Bartlett identities
The signed square root statistic R is given by sgn(è̂ÿ è)(l(è̂)ÿ l(è)), where l is the log-likelihood and è̂ is the maximum likelihood estimator. The pth cumulant of R is typically of the form nÿ p=2 kp O(nÿ( p2)=2), where n is the number of observations. This paper shows how to symbolically compute kp without invoking the Bartlett identities. As an application, we show how the family of altern...
متن کاملCumulants and Bartlett Identities in Cox Regression by Per
Expressions are found for the cumulants needed to analyze Cox regression up to order O(n−3/2), and consistent estimators for these are given. In addition, the Bartlett identities are shown to hold for the Cox partial likelihood (and, in a broad sense, for partial likelihood in general), so that the cumulant estimators found can be used to adjust statistics in accordance with formulas from likel...
متن کاملComparative assessment of the accuracy of maximum likelihood and correlated signal enhancement algorithm positioning methods in gamma camera with large square photomultiplier tubes
Introduction: The gamma cameras, based on scintillation crystal followed by an array of photomultiplier tubes (PMTs), play a crucial role in nuclear medicine. The use of square PMTs provides the minimum dead zones in the camera. The camera with square PMTs also reduces the number of PMTs relative to the detection area. Introduction of a positioning algorithm to improve the spat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999