Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Thomas A. Catanach"'
Autor:
Jed A. Duersch, Thomas A. Catanach
Publikováno v:
Entropy, Vol 22, Iss 1, p 108 (2020)
Information theory provides a mathematical foundation to measure uncertainty in belief. Belief is represented by a probability distribution that captures our understanding of an outcome’s plausibility. Information measures based on Shannon’s conc
Externí odkaz:
https://doaj.org/article/87846fd680544394ac06a201758453de
Autor:
Erin Acquesta, Teresa Portone, Thomas A. Catanach, Mohammad Khalil, Gianluca Geraci, Bert Debusschere, Cosmin Safta, Edgar Galvan, Kenny Chowdhary, Jaideep Ray
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f557d997e7680782550f8cc423dc9c
https://doi.org/10.2172/1763554
https://doi.org/10.2172/1763554
Autor:
Thomas A. Catanach, James L. Beck
Publikováno v:
International Journal of Non-Linear Mechanics. 94:72-83
Bayesian approaches to statistical inference and system identification became practical with the development of effective sampling methods like Markov Chain Monte Carlo (MCMC). However, because the size and complexity of inference problems has dramat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6c0e482da2e5ad53b18f0b03f1d46e
https://doi.org/10.1016/j.ijnonlinmec.2017.03.012
https://doi.org/10.1016/j.ijnonlinmec.2017.03.012
Publikováno v:
Int J Uncertain Quantif
Stochastic reaction network models are often used to explain and predict the dynamics of gene regulation in single cells. These models usually involve several parameters, such as the kinetic rates of chemical reactions, that are not directly measurab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6df638b0a6abb8a32efcf0f9728494c
Publikováno v:
IEEE Transactions on Power Systems. 31:3019-3027
This paper introduces a statistical classifier that quickly locates line outages in a power system utilizing only time series phasor measurement data sampled during the system's transient response to the outage. The presented classifier is a linear m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bfd87388dece4d36bd88dc8826dbd8f
https://doi.org/10.1109/tpwrs.2015.2461461
https://doi.org/10.1109/tpwrs.2015.2461461
It has been an ongoing scientific debate whether biological parameters are conserved across experimental setups with different media, pH values, and other experimental conditions. Our work explores this question using Bayesian probability as a rigoro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1846e94049091e93d2fc4b456b2e94f9