Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Anand N. Vidyashankar"'
Autor:
James B. Collins, Brian Jordan, Anand N. Vidyashankar, Pablo Jimenez Castro, Justin Fowler, Ray M. Kaplan
Publikováno v:
Poultry Science, Vol 100, Iss 11, Pp 101435- (2021)
ABSTRACT: Feed conversion efficiency is among the most important factors affecting profitable production of poultry.Infections with parasitic nematodes can decrease efficiency of production, making parasite control through the use of anthelmintics an
Externí odkaz:
https://doaj.org/article/0b9a418cba7c4f948509aaa06014acca
Publikováno v:
Risks, Vol 10, Iss 12, p 239 (2022)
Portfolio credit risk is often concerned with the tail distribution of the total loss, defined to be the sum of default losses incurred from a collection of individual loans made out to the obligors. The default for an individual loan occurs when the
Externí odkaz:
https://doaj.org/article/4b84006e929645bb87cf1d72bc2c1af2
Publikováno v:
Parasites & Vectors, Vol 10, Iss S2, Pp 97-108 (2017)
Abstract Background Initial studies of heartworm preventive drugs all yielded an observed efficacy of 100% with a single dose, and based on these data the US Food and Drug Administration (FDA) required all products to meet this standard for approval.
Externí odkaz:
https://doaj.org/article/0622c72435874be084b83178b36fcfd6
Publikováno v:
Entropy, Vol 23, Iss 4, p 386 (2021)
Hellinger distance has been widely used to derive objective functions that are alternatives to maximum likelihood methods. While the asymptotic distributions of these estimators have been well investigated, the probabilities of rare events induced by
Externí odkaz:
https://doaj.org/article/025e4ffba7b1439bb2ced114ea1afd9f
Publikováno v:
Entropy, Vol 21, Iss 4, p 348 (2019)
Big data and streaming data are encountered in a variety of contemporary applications in business and industry. In such cases, it is common to use random projections to reduce the dimension of the data yielding compressed data. These data however pos
Externí odkaz:
https://doaj.org/article/4849334b25484dd598745cb364d81ac4
Autor:
Brian J. Jordan, Pablo David Jimenez Castro, J. Fowler, Anand N. Vidyashankar, Ray M. Kaplan, James Bryant Collins
Publikováno v:
Poultry Science, Vol 100, Iss 11, Pp 101435-(2021)
Poultry Science
Poultry Science
Feed conversion efficiency is among the most important factors affecting profitable production of poultry.Infections with parasitic nematodes can decrease efficiency of production, making parasite control through the use of anthelmintics an important
Publikováno v:
Bayesian Analysis. 16
This paper is concerned with Bayesian inferential methods for data from controlled branching processes that account for model robustness through the use of disparities. Under regularity conditions, we establish that estimators built on disparity-base
Autor:
Anand N. Vidyashankar, Lei Li
Publikováno v:
Stochastic Models. 35:318-337
Branching processes in random environments arise in a variety of applications such as biology, finance, and other contemporary scientific areas. Motivated by these applications, this article invest...
Autor:
James Bryant Collins, P. Jimenez Castro, Ray M. Kaplan, Anand N. Vidyashankar, Brian J. Jordan
Feed conversion efficiency is among the most important factors affecting profitable production of poultry. Infections with parasitic nematodes can decrease efficiency of production, making parasite control through the use of anthelmintics an importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24d22e77b469b30a3bc1502940bef64c
https://doi.org/10.1101/2021.03.30.437784
https://doi.org/10.1101/2021.03.30.437784
Publikováno v:
Entropy
Entropy, Vol 23, Iss 386, p 386 (2021)
Vidyashankar, A N & Collamore, J F 2021, ' Rare event analysis for minimum Hellinger distance estimators via large deviation theory ', Entropy, vol. 23, no. 4, 386 . https://doi.org/10.3390/e23040386
Volume 23
Issue 4
Entropy, Vol 23, Iss 386, p 386 (2021)
Vidyashankar, A N & Collamore, J F 2021, ' Rare event analysis for minimum Hellinger distance estimators via large deviation theory ', Entropy, vol. 23, no. 4, 386 . https://doi.org/10.3390/e23040386
Volume 23
Issue 4
Hellinger distance has been widely used to derive objective functions that are alternatives to maximum likelihood methods. While the asymptotic distributions of these estimators have been well investigated, the probabilities of rare events induced by