Search Results - "Severini, T. A."

Likelihood ratio statistics based on an integrated likelihood by SEVERINI, T. A.

“…An integrated likelihood depends only on the parameter of interest and the data, so it can be used as a standard likelihood function for likelihood-based…”
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Likelihood functions for inference in the presence of a nuisance parameter by Severini, Thomas A.

“…Consider inference about a scalar parameter of interest Θ in the presence of a vector nuisance parameter. Inference about Θ is often based on a…”
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An empirical adjustment to the likelihood ratio statistic by Severini, Thomas A.

“…Consider a model parameterised by a scalar parameter of interest ψ and a nuisance parameter λ. Inference about ψ may be based on the signed square root of the…”
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An alternative specification of generalized linear mixed models by Sartori, N., Severini, T.A., Marras, E.

“…Consider stratified data in which Y i 1 , … , Y i n i denote real-valued response variables corresponding to the observations from stratum i , i = 1 , … , m…”
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Bayesian Interval Estimates which are also Confidence Intervals by Severini, Thomas A.

“…Let Y1, ..., Yn denote independent observations each distributed according to a distribution depending on a scalar parameter θ; suppose that we are interested…”
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On the effect of overdispersion on exact conditional tests by Severini, T. A.

“…Let Y1,..., Yn denote independent random variables such that Yj has a one-parameter exponential family distribution with canonical parameter θj = λ + ψ Xj here…”
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On the Relationship Between Bayesian and Non-Bayesian Interval Estimates by Severini, Thomas A.

“…Let Y1,...,Yn denote independent observations each distributed according to a density depending on a scalar parameter θ. Suppose that we are interested in…”
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Nonparametric Conditional Inference for a Location Parameter by Severini, Thomas A.

“…Let Yl,...,Yn denote independent observations of the form Yj = θ + σεj where ε1,..., εn are independent random variables each distributed according to a…”
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Disappearance and unexpected reappearance of progesterone in the circulation of the monkey: novel hormone kinetics by W B Kowalski, R T Chatterton, Jr, R R Kazer, T A Severini

“…1. Intravenous injection of [3H]progesterone in non-pregnant monkeys resulted in total disappearance of the labelled hormone from the circulation within 3 h…”
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Comparison of Novel and Existing Methods for Detection of Linkage Disequilibrium Using Parent‐Child Trios in the GAW12 Genetic Isolate Simulated Data by Bailey-Wilson, J.E., Sorant, A.J.M., Malley, J.D., Presciuttini, S., Redner, R.A., Severini, T.A., Badner, J.A., Pajevic, S., Jufer, R., Baffoe-Bonnie, A., Kao, L., Doan, B.Q., Goldstein, J.L., Holmes, T.N., Behneman, D., Mandal, D.M., Turley, T.N., Weissbecker, K.A., O'Neill, J., Pugh, E.W.

“…A novel method for joint detection of association caused by linkage disequilibrium (LD) and estimation of both recombination fraction and linkage…”
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Profile Likelihood and Conditionally Parametric Models by Severini, Thomas A., Wong, Wing Hung

“…In this paper, we outline a general approach to estimating the parametric component of a semiparametric model. For the case of a scalar parametric component,…”
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An approximation to the modified profile likelihood function by Severini, Thomas A.

“…An approximation to the modified profile likelihood function is proposed. This approximation is invariant under interest-respecting reparameterisations, it…”
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Modified estimating functions by Severini, Thomas A.

“…In a parametric model the maximum likelihood estimator of a parameter of interest ψ may be viewed as the solution to the equation l′p(ψ) = 0, where lp denotes…”
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On an exact probability matching property of right‐invariant priors by Severini, Thomas A., Mukerjee, Rahul, Ghosh, Malay

“…The paper considers priors which are right invariant with respect to the Haar measure. It is shown that the posterior coverage probabilities of certain…”
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CONDITIONAL LIKELIHOOD INFERENCE IN GENERALIZED LINEAR MIXED MODELS by Sartori, N., Severini, T. A.

“…Consider a generalized linear model with a canonical link function, containing both fixed and random effects. In this paper, we consider inference about the…”
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A modified likelihood ratio statistic for some nonregular models by Severini, Thomas A.

“…Higher‐order approximations to the distribution of the likelihood ratio statistic are considered for a class of nonregular models in which the maximum…”
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A simplified approach to computing efficiency bounds in semiparametric models by Severini, Thomas A., Tripathi, Gautam

“…Using some standard Hilbert space theory a simplified approach to computing efficiency bounds in semiparametric models is presented. We use some interesting…”
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Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors by Severini, Thomas A., Tripathi, Gautam

“…Let Y=μ∗(X)+ε, where μ∗ is unknown and E[ε|X]≠0 with positive probability but there exist instrumental variables W such that E[ε|W]=0 w.p.1. It is well known…”
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Integrated likelihood inference in semiparametric regression models by He, H., Severini, T. A.

“…Consider a linear semiparametric regression model with normal errors in which the mean function depends on two parameters, a p -dimensional regression…”
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The likelihood ratio approximation to the conditional distribution of the maximum likelihood estimator in the discrete case by Severini, Thomas A.

“…The likelihood ratio approximation, also called Barndorff‐Nielsen's approximation and often denoted by p*, provides a highly accurate approximation to the…”
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