Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Wilson, Amy L."'
Graphical models and likelihood ratios can be used by forensic scientists to compare support given by evidence to propositions put forward by competing parties during court proceedings. Such models can also be used to evaluate support for activity-le
Externí odkaz:
http://arxiv.org/abs/2404.02778
Autor:
Dawid, A. Philip, Dotto, Francesco, Graves, Maxine, Kadane, Jay B., Mortera, Julia, Robertson, Gail, Smith, Jim Q., Wilson, Amy L.
We compare three graphical methods for displaying evidence in a legal case: Wigmore Charts, Bayesian Networks and Chain Event Graphs. We find that these methods are aimed at three distinct audiences, respectively lawyers, forensic scientists and the
Externí odkaz:
http://arxiv.org/abs/2403.16628
Resource adequacy studies typically use standard metrics such as Loss of Load Expectation and Expected Energy Unserved to quantify the risk of supply shortfalls. This paper critiques present approaches to adequacy assessment and capacity procurement
Externí odkaz:
http://arxiv.org/abs/2309.06119
Autor:
Zhou, Kai, Cruise, James R., Dent, Chris J., Dobson, Ian, Wehenkel, Louis, Wang, Zhaoyu, Wilson, Amy L.
Transmission line outage rates are fundamental to power system reliability analysis. Line outages are infrequent, occurring only about once a year, so outage data are limited. We propose a Bayesian hierarchical model that leverages line dependencies
Externí odkaz:
http://arxiv.org/abs/2001.08681
Publikováno v:
In Resources, Conservation & Recycling November 2023 198
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wilson, Amy L, Zachary, Stan
This paper investigates the use of extreme value theory for modelling the distribution of demand-net-of-wind for capacity adequacy assessment. Extreme value theory approaches are well-established and mathematically justified methods for estimating th
Externí odkaz:
http://arxiv.org/abs/1907.13050
Autor:
Wilson, Amy L.
Studying Cadherin4 function using Morpholino Antisense technology
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=akron1185382298
Publikováno v:
In Australasian Marketing Journal (AMJ) November 2017 25(4):317-325
Autor:
Karimnia, Nazanin1 (AUTHOR), Wilson, Amy L.1 (AUTHOR), Green, Emma1,2 (AUTHOR), Matthews, Amelia1,2 (AUTHOR), Jobling, Thomas W.3 (AUTHOR), Plebanski, Magdalena4 (AUTHOR), Bilandzic, Maree1 (AUTHOR) Maree.Bilandzic@hudson.org.au, Stephens, Andrew N.1 (AUTHOR)
Publikováno v:
Journal of Experimental & Clinical Cancer Research (17569966). 9/1/2021, Vol. 40 Issue 1, p1-13. 13p.