Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Clive G. Bowsher"'
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 6, p e1004923 (2016)
Simulation of biomolecular networks is now indispensable for studying biological systems, from small reaction networks to large ensembles of cells. Here we present a novel approach for stochastic simulation of networks embedded in the dynamic environ
Externí odkaz:
https://doaj.org/article/8fb5f3305e10482f88060b8136d4e78f
Autor:
Clive G. Bowsher, Roland Meeks
Functional Signal plus Noise (FSN) models are proposed for analysing the dynamics of a large cross-section of yields or asset prices in which contemporaneous observations are functionally related. The FSN models are used to forecast high dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a7ad501f1fb19ff9c9a3d78cc74b515
https://ora.ox.ac.uk/objects/uuid:9da43165-2bd2-48f8-8f73-5a4c45efcacd
https://ora.ox.ac.uk/objects/uuid:9da43165-2bd2-48f8-8f73-5a4c45efcacd
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 3, p e1002965 (2013)
Cells live in changing, dynamic environments. To understand cellular decision-making, we must therefore understand how fluctuating inputs are processed by noisy biomolecular networks. Here we present a general methodology for analyzing the fidelity w
Externí odkaz:
https://doaj.org/article/3d197daa2d374707933e6ffaf5205bcf
Autor:
Clive G. Bowsher, Craig A. McArdle, Thanh Pham, Kathryn Garner, George R. Pope, Christopher J. Caunt, Rebecca M. Perrett, Margaritis Voliotis, Krasimira Tsaneva-Atanasova
Publikováno v:
Journal of Biological Chemistry. 291:2246-2259
Cell signaling pathways are noisy communication channels, and statistical measures derived from information theory can be used to quantify the information they transfer. Here we use single cell signaling measures to calculate mutual information as a
Autor:
Craig A. McArdle, Robert C. Fowkes, Christopher J. Caunt, Rebecca M. Perrett, Clive G. Bowsher, Krasimira Tsaneva-Atanasova
Publikováno v:
Journal of Biological Chemistry. 288:21001-21014
Many extracellular signals act via the Raf/MEK/ERK cascade in which kinetics, cell-cell variability, and sensitivity of the ERK response can all influence cell fate. Here we used automated microscopy to explore the effects of ERK-mediated negative fe
Autor:
Roland Meeks, Clive G. Bowsher
Publikováno v:
Applied Mathematical Finance. 20:137-166
We provide simple nonparametric conditions for the order of integration of the term structure of zero-coupon yields. A principal benchmark model studied is one with a limiting yield and limiting term premium, and in which the logarithmic expectations
Autor:
Clive G. Bowsher
Publikováno v:
Causality: Statistical Perspectives and Applications
Autor:
Margaritis Voliotis, Clive G. Bowsher
Publikováno v:
Nucleic Acids Research
The comparative ability of transcriptional and small RNA-mediated negative feedback to control fluctuations or ‘noise’ in gene expression remains unexplored. Both autoregulatory mechanisms usually suppress the average (mean) of the protein level
Autor:
Clive G. Bowsher, Roland Meeks
Publikováno v:
Journal of the American Statistical Association. 103:1419-1437
The class of functional signal plus noise (FSN) models is introduced that provides a new, general method for modeling and forecasting time series of economic functions. The underlying, continuous economic function (or “signal”) is a natural cubic
Autor:
Clive G. Bowsher
Publikováno v:
Journal of Econometrics. 141:876-912
A continuous time econometric modelling framework for multivariate financial market event (or `transactions') data is developed in which the model is specified via the vector stochastic intensity. This has the advantage that the conditioning sigma-fi