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of 415
pro vyhledávání: '"Methe, P."'
Hidden Markov models (HMMs) are a versatile statistical framework commonly used in ecology to characterize behavioural patterns from animal movement data. In HMMs, the observed data depend on a finite number of underlying hidden states, generally int
Externí odkaz:
http://arxiv.org/abs/2411.18826
Autor:
Sidrow, Evan, Heckman, Nancy, McRae, Tess M., Volpov, Beth L., Trites, Andrew W., Fortune, Sarah M. E., Auger-Méthé, Marie
Ecologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series. Modern technological devices such as video recorders and drones now allow researchers to dir
Externí odkaz:
http://arxiv.org/abs/2409.18091
Autor:
Florko, Katie R. N., Togunov, Ron R., Gryba, Rowenna, Sidrow, Evan, Ferguson, Steven H., Yurkowski, David J., Auger-Méthé, Marie
Understanding species-habitat associations is fundamental to ecological sciences and for species conservation. Consequently, various statistical approaches have been designed to infer species-habitat associations. Due to their conceptual and mathemat
Externí odkaz:
http://arxiv.org/abs/2401.17389
Autor:
Sidrow, Evan, Heckman, Nancy, Bouchard-Côté, Alexandre, Fortune, Sarah M. E., Trites, Andrew W., Auger-Méthé, Marie
Hidden Markov models (HMMs) are popular models to identify a finite number of latent states from sequential data. However, fitting them to large data sets can be computationally demanding because most likelihood maximization techniques require iterat
Externí odkaz:
http://arxiv.org/abs/2310.04620
1. Movement is the primary means by which animals obtain resources and avoid hazards. Most movement exhibits directional bias that is related to environmental features (taxis), such as the location of food patches, predators, ocean currents, or wind.
Externí odkaz:
http://arxiv.org/abs/2107.14016
Autor:
Sidrow, Evan, Heckman, Nancy, Fortune, Sarah M. E., Trites, Andrew W., Murphy, Ian, Auger-Méthé, Marie
Publikováno v:
Can J Statistics 50 (2022) 327-356
Data sets comprised of sequences of curves sampled at high frequencies in time are increasingly common in practice, but they can exhibit complicated dependence structures that cannot be modelled using common methods of Functional Data Analysis (FDA).
Externí odkaz:
http://arxiv.org/abs/2101.03268
Autor:
Alison Morris, Barbara Methe, Xiaohong Wang, Georgios D Kitsios, Frank C Sciurba, Eva Szigethy, Lili Jiang, Shawna Blacka, Jana J Jacobs, Taaha Mirza, Asma Naqvi, Heather Gentry, Cathy Murray, Konstantin Golubykh, Hafiz Qurashi, Akash Dodia, Michael Risbano, Michael Benigno, Birol Emir, Edward Weinstein, Candace Bramson, Feng Dai, John W Mellors, Seyed Mehdi Nouraie
Publikováno v:
BMJ Open, Vol 14, Iss 3 (2024)
Objective To characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC).Design Prospective, observational cohort study of subjects with PASC.Setting Academic tertiary centre from five clinical r
Externí odkaz:
https://doaj.org/article/1768a7cb44344d278d9a06c6124e6b66
Autor:
Jia V Li, Barbara Methe, Terryl J Hartman, Thomas R Ziegler, Annette Wilson, Stephen J D O'Keefe, Jennifer Christie, William Dana Flanders, Barbara J Rolls, Blaine Loye Eberhart, Helaina Huneault, Ben Cousineau, Miriam R Perez
Publikováno v:
BMJ Open, Vol 14, Iss 2 (2024)
Introduction Recently published studies support the beneficial effects of consuming fibre-rich legumes, such as cooked dry beans, to improve metabolic health and reduce cancer risk. In participants with overweight/obesity and a history of colorectal
Externí odkaz:
https://doaj.org/article/3fc28ea7326844978be3a0208ab296a1
Autor:
Auger-Méthé, Marie, Newman, Ken, Cole, Diana, Empacher, Fanny, Gryba, Rowenna, King, Aaron A., Leos-Barajas, Vianney, Flemming, Joanna Mills, Nielsen, Anders, Petris, Giovanni, Thomas, Len
State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal movement, and capture-recapture data, and are now increasingly being
Externí odkaz:
http://arxiv.org/abs/2002.02001
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