Search Results - "SEVERINI, A"

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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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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Integrated likelihood functions for non-Bayesian inference by Severini, Thomas A.

“…Consider a model with parameter θ = (ψ, λ), where ψ is the parameter of interest, and let L(ψ, λ) denote the likelihood function. One approach to likelihood…”
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The role of score and information bias in panel data likelihoods by Schumann, Martin, Severini, Thomas A., Tripathi, Gautam

“…We show why reducing information bias can improve the performance of likelihood based estimators and confidence regions in small samples, and why it seems to…”
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Integrated likelihood based inference for nonlinear panel data models with unobserved effects by Schumann, Martin, Severini, Thomas A., Tripathi, Gautam

“…We propose a new integrated likelihood based approach for estimating panel data models when the unobserved individual effects enter the model nonlinearly…”
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Genomic cartography of varicella–zoster virus: A complete genome-based analysis of strain variability with implications for attenuation and phenotypic differences by Tyler, S.D, Peters, G.A, Grose, C, Severini, A, Gray, M.J, Upton, C, Tipples, G.A

“…Abstract In order to gain a better perspective on the true variability of varicella–zoster virus (VZV) and to catalogue the location and number of differences,…”
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Integrated likelihood inference in multinomial distributions by Severini, Thomas A.

“…Consider a random vector ( N 1 , N 2 , … , N m ) with a multinomial distribution such that E N j ; θ = n p j ( θ ) , j = 1 , … , m , where p 1 , ⋯ , p m are…”
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Some properties of portfolios constructed from principal components of asset returns by Severini, Thomas A.

“…Principal components analysis (PCA) is a well-known statistical method used to analyze the covariance structure of a random vector and for dimension reduction…”
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Quasi-Likelihood Estimation in Semiparametric Models by Severini, Thomas A., Staniswalis, Joan G.

“…Suppose the expected value of a response variable Y may be written h(Xβ +γ(T)) where X and T are covariates, each of which may be vector-valued, β is an…”
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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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O49 Luminex based assay for multiplexed genotyping of 45 mucosal human papillomavirus types by Goleski, V, Severini, A, Dawood, M, Ratnam, S

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Type-specific prevalence of Human Papillomavirus infection among women in the Northwest Territories, Canada by Jiang, Y, Brassard, P, Severini, A, Goleski, V, Santos, M, Leamon, A, Chatwood, S, Lys, C, Johnson, G, Wong, T, Kotaska, A, Kandola, K, Mao, Y

“…Summary Background Certain types of Human Papillomavirus (HPV) are highly associated with cervical cancer and precursor lesions (dysplasia), but the…”
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Distribution of human papillomavirus types, cervical cancer screening history, and risk factors for infection in Manitoba by Demers, A A, Shearer, B, Severini, A, Lotocki, R, Kliewer, E V, Stopera, S, Wong, T, Jayaraman, G

“…We conducted a study to investigate the prevalence of human papillomavirus (HPV) infections in an opportunistic sample of women in Manitoba, Canada. We…”
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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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The diagnosis of genital herpes - beyond culture: An evidence-based guide for the utilization of polymerase chain reaction and herpes simplex virus type-specific serology by Ratnam, S, Severini, A, Zahariadis, G, Petric, M, Romanowski, B

“…Accurate identification of persons with genital herpes is necessary for optimal patient management and prevention of transmission. Because of inherent…”
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Integrated likelihoods for functions of a parameter by Severini, Thomas A.

“…Non‐Bayesian inference regarding a parameter of interest in the presence of a nuisance parameter may be based on the integrated likelihood function, in which…”
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Mechanism of inhibition of duck hepatitis B virus polymerase by (-)-beta-L-2',3'-dideoxy-3'-thiacytidine by Severini, A, Liu, X Y, Wilson, J S, Tyrrell, D L

“…Services AAC Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit StumbleUpon…”
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SOME IDENTIFICATION ISSUES IN NONPARAMETRIC LINEAR MODELS WITH ENDOGENOUS REGRESSORS by Severini, Thomas A., Tripathi, Gautam

“…In applied work economists often seek to relate a given response variable y to some causal parameter μ* associated with it. This parameter usually represents a…”
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Extended Generalized Estimating Equations for Clustered Data by Hall, Daniel B., Severini, Thomas A.

“…Typically, analysis of data consisting of multiple observations on a cluster is complicated by within-cluster correlation. Estimating equations for generalized…”
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Integrated likelihood computation methods by Zhao, Zhenyu, Severini, Thomas A.

“…Suppose a model has parameter θ = ( ψ , λ ) , where ψ is the parameter of interest and λ is a nuisance parameter. The integrated likelihood method eliminates λ…”
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