Výsledky vyhledávání - "Andrew V. Carter"

Akademický článek

Asymptotically Sufficient Statistics in Nonparametric Regression Experiments with Correlated Noise

Autor: Andrew V. Carter

Publikováno v: Journal of Probability and Statistics, Vol 2009 (2009)

We find asymptotically sufficient statistics that could help simplify inference in nonparametric regression problems with correlated errors. These statistics are derived from a wavelet decomposition that is used to whiten the noise process and to eff

Externí odkaz: https://doaj.org/article/97421dcbff424607abb6e6f43f131e37

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Asymptotic Behavior of a t-Test Robust to Cluster Heterogeneity

Autor: Douglas G. Steigerwald, Kevin T. Schnepel, Andrew V. Carter

Publikováno v: The Review of Economics and Statistics. 99:698-709

We study the behavior of a cluster-robust t statistic and make two principle contributions. First, we relax the restriction of pre- vious asymptotic theory that clusters have identical size, and establish that the cluster-robust t statistic continues

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::414e9c183f3109dedd58c184491f04c2
https://doi.org/10.1162/rest_a_00639

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Phylogenetic inference of Coxiella burnetii by 16S rRNA gene sequencing

Autor: Andrew V. Carter, David R. Hodge, Segaran P. Pillai, Andrew B. Conley, Janetta R. Hakovirta, David Sue, Rachael A. Priestley, Heather P. McLaughlin, Linda M. Weigel, Blake Cherney, Gilbert J. Kersh

Publikováno v: PLoS ONE
PLoS ONE, Vol 12, Iss 12, p e0189910 (2017)

Coxiella burnetii is a human pathogen that causes the serious zoonotic disease Q fever. It is ubiquitous in the environment and due to its wide host range, long-range dispersal potential and classification as a bioterrorism agent, this microorganism

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f78ed565a83d272cda0fcb1a35dc905
http://europepmc.org/articles/PMC5747434

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Markov Regime-Switching Tests: Asymptotic Critical Values

Autor: Andrew V. Carter, Douglas G. Steigerwald

Publikováno v: Steigerwald, D; & Carter, A. (2011). Markov Regime-Switching Tests: Asymptotic Critical Values. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/9245c5d1
Steigerwald, Douglas; & Carter, Andrew. (2011). Markov Regime-Switching Tests: Asymptotic Critical Values. UC Santa Barbara: Department of Economics, UCSB. Retrieved from: http://www.escholarship.org/uc/item/5rn986z6

Empirical research with Markov regime-switching models often requires the researcher not only to estimate the model but also to test for the presence of more than one regime. Despite the need for both estimation and testing, methods of estimation are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206d8cd8d136c8fbefa4829097933169
http://www.escholarship.org/uc/item/9245c5d1

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The retardation of myometrial infiltration, reduction of uterine contractility, and alleviation of generalized hyperalgesia in mice with induced adenomyosis by levo-tetrahydropalmatine (l-THP) and andrographolide

Autor: Xiaoyan Mao, Yuedong Wang, Andrew V. Carter, Xuechu Zhen, Sun-Wei Guo

Publikováno v: Reproductive sciences (Thousand Oaks, Calif.). 18(10)

Adenomyosis is a tough disease to manage nonsurgically. Levo-tetrahydropalmatine (l-THP), a known analgesic, and andrographolide, a nuclear factor kappa B (NF-κB) inhibitor, are both active ingredients extracted from Chinese medicinal herbs. We soug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::113eb2da9ba9b680a0070192c8567134
https://pubmed.ncbi.nlm.nih.gov/21493954

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Testing for Regime Switching: A Comment

Autor: Douglas G. Steigerwald, Andrew V. Carter

Publikováno v: Carter, Andrew V; & Steigerwald, Douglas G. (2010). Testing for Regime Switching: A Comment. Department of Economics, UCSB. UC Santa Barbara: Department of Economics, UCSB. Retrieved from: http://www.escholarship.org/uc/item/5079q9dc

For such a model, we show that consistency of the quasi-maximum likelihood estimator for the population parameter values, on which consistency of the test is based, does not hold. We describe a condition that ensures consistency of the estimator and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9667b9d73e7a3e412f339114c6cde3f0
http://www.escholarship.org/uc/item/5079q9dc

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Asymptotic approximation of nonparametric regression experiments with unknown variances

Autor: Andrew V. Carter

Publikováno v: Ann. Statist. 35, no. 4 (2007), 1644-1673
Carter, Andrew V. (2007). Asymptotic approximation of nonparametric regression experiments with unknown variances. The Annals of Statistics, 35(4), 1644-1673. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/9j0051mw

Asymptotic equivalence results for nonparametric regression experiments have always assumed that the variances of the observations are known. In practice, however the variance of each observation is generally considered to be an unknown nuisance para

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c72d34d678909daf744289583dc0389

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Tusnády’s inequality revisited

Autor: David Pollard, Andrew V. Carter

Publikováno v: Ann. Statist. 32, no. 6 (2004), 2731-2741

Tusnady's inequality is the key ingredient in the KMT/Hungarian coupling of the empirical distribution function with a Brownian bridge. We present an elementary proof of a result that sharpens the Tusnady inequality, modulo constants. Our method uses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d90882c36ed2baca998315c9ea8bbaf5
https://projecteuclid.org/euclid.aos/1107794885

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Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift

Autor: Andrew V. Carter, Cun-Hui Zhang, Lawrence D. Brown, Mark G. Low

Publikováno v: Ann. Statist. 32, no. 5 (2004), 2074-2097

This paper establishes the global asymptotic equivalence between a Poisson process with variable intensity and white noise with drift under sharp smoothness conditions on the unknown function. This equivalence is also extended to density estimation m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54df54dd272d25e714797b832938b6bb
https://doi.org/10.1214/009053604000000012

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Deficiency distance between multinomial and multivariate normal experiments

Autor: Andrew V. Carter

Publikováno v: Ann. Statist. 30, no. 3 (2002), 708-730

The deficiency distance between a multinomial and a multivariate normal experiment is bounded under a condition that the parameters are bounded away from zero. This result can be used as a key step in establishing asymptotic normal approximations to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3d41e38588f5652012ce1acc6758c4
https://doi.org/10.1214/aos/1028674839

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