AbstractWe introduce a notion of partial likelihood for binary statistical experiments, when the relevant observation consists of a stochastic process which is a semimartingale with prescribed characteristics. This extends the concept of partial likelihood introduced by Cox. We also present a notion of partial Hellinger processes associated with the partial likelihood. Finally, we use these processes to provide criteria for asymptotic normality of the partial likelihood
We review the most common situations where one or some of the regularity conditions which ...
Asymptotic properties for censored data with staggered entry are studied in a parametric counting pr...
Marginal likelihood and conditional likelihood are often used for eliminating nuisance parameters. F...
We introduce a notion of partial likelihood for binary statistical experiments, when the relevant ob...
AbstractWe introduce a notion of partial likelihood for binary statistical experiments, when the rel...
The purpose of this paper is to study some statistical problems: parameter estimation, binary detect...
We study the asymptotic properties of the likelihood ratio pro-cesses for a sequence of binary ¯lter...
In this paper, we consider the application of the empirical likelihood method to partially linear mo...
In certain cases statistical methods based on standard maximum likelihood asymptotics become valid a...
The problem of demonstrating the limiting normality of posterior distributions arising from stochast...
In this paper the empirical likelihood method due to Owen (1988, Biometrika, 75, 237-249) is applied...
AbstractWe consider likelihood based inference in a class of logistic models for case- control studi...
In this paper we define randomized filtered experiments with an abstract parameter space and analyze...
We consider likelihood based inference in a class of logistic models for case-control studies with a...
We review the most common situations where one or some of the regularity conditions which underlie l...
We review the most common situations where one or some of the regularity conditions which ...
Asymptotic properties for censored data with staggered entry are studied in a parametric counting pr...
Marginal likelihood and conditional likelihood are often used for eliminating nuisance parameters. F...
We introduce a notion of partial likelihood for binary statistical experiments, when the relevant ob...
AbstractWe introduce a notion of partial likelihood for binary statistical experiments, when the rel...
The purpose of this paper is to study some statistical problems: parameter estimation, binary detect...
We study the asymptotic properties of the likelihood ratio pro-cesses for a sequence of binary ¯lter...
In this paper, we consider the application of the empirical likelihood method to partially linear mo...
In certain cases statistical methods based on standard maximum likelihood asymptotics become valid a...
The problem of demonstrating the limiting normality of posterior distributions arising from stochast...
In this paper the empirical likelihood method due to Owen (1988, Biometrika, 75, 237-249) is applied...
AbstractWe consider likelihood based inference in a class of logistic models for case- control studi...
In this paper we define randomized filtered experiments with an abstract parameter space and analyze...
We consider likelihood based inference in a class of logistic models for case-control studies with a...
We review the most common situations where one or some of the regularity conditions which underlie l...
We review the most common situations where one or some of the regularity conditions which ...
Asymptotic properties for censored data with staggered entry are studied in a parametric counting pr...
Marginal likelihood and conditional likelihood are often used for eliminating nuisance parameters. F...
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