Zobrazeno 1 - 10
of 639
pro vyhledávání: '"Bradley, Jonathan"'
Autor:
Klaver, Yvan, Morsche, Randy te, Botter, Roel A., Hashemi, Batoul, Frare, Bruno L. Segat, Mishra, Akhileshwar, Ye, Kaixuan, Mbonde, Hamidu, Ahmadi, Pooya Torab, Taleghani, Niloofar Majidian, Jonker, Evan, Braamhaar, Redlef B. G., Selvaganapathy, Ponnambalam Ravi, Mascher, Peter, van der Slot, Peter J. M., Bradley, Jonathan D. B., Marpaung, David
Seamlessly integrating stimulated Brillouin scattering (SBS) in a low-loss and mature photonic integration platform remains a complicated task. Virtually all current approaches fall short in simultaneously achieving strong SBS, low losses, and techno
Externí odkaz:
http://arxiv.org/abs/2410.16263
Autor:
Saha, Sudipto, Bradley, Jonathan R.
The conditional autoregressive (CAR) model, simultaneous autoregressive (SAR) model, and its variants have become the predominant strategies for modeling regional or areal-referenced spatial data. The overwhelming wide-use of the CAR/SAR model motiva
Externí odkaz:
http://arxiv.org/abs/2410.13164
Autor:
Zhou, Shijie, Bradley, Jonathan R.
Wildfires have significantly increased in the United States (U.S.), making certain areas harder to live in. This motivates us to jointly analyze active fires and population changes in the U.S. from July 2020 to June 2021. The available data are recor
Externí odkaz:
http://arxiv.org/abs/2410.02905
Autor:
Clinch, Madelyn, Bradley, Jonathan R.
Fine particulate matter and aerosol optical thickness are of interest to atmospheric scientists for understanding air quality and its various health/environmental impacts. The available data are extremely large, making uncertainty quantification in a
Externí odkaz:
http://arxiv.org/abs/2410.02655
Autor:
Bradley, Jonathan R.
The spatial linear mixed model (SLMM) consists of fixed and spatial random effects that can be confounded. Restricted spatial regression (RSR) models restrict the spatial random effects to be in the orthogonal column space of the covariates, which "d
Externí odkaz:
http://arxiv.org/abs/2408.05106
Analysing non-Gaussian spatial-temporal data typically requires introducing spatial dependence in generalised linear models through the link function of an exponential family distribution. However, unlike in Gaussian likelihoods, inference is conside
Externí odkaz:
http://arxiv.org/abs/2406.04655
The modifiable areal unit problem in geography or the change-of-support (COS) problem in statistics demonstrates that the interpretation of spatial (or spatio-temporal) data analysis is affected by the choice of resolutions or geographical units used
Externí odkaz:
http://arxiv.org/abs/2312.12287
Autor:
Zhou, Shijie, Bradley, Jonathan R.
In public health applications, spatial data collected are often recorded at different spatial scales and over different correlated variables. Spatial change of support is a key inferential problem in these applications and have become standard in uni
Externí odkaz:
http://arxiv.org/abs/2310.13580
Autor:
Mbonde, Hamidu M., Singh, Neetesh, Frare, Bruno L. Segat, Sinobad, Milan, Ahmadi, Pooya Torab, Hashemi, Batoul, Bonneville, Dawson. B., Mascher, Peter, Kaertner, Franz X., Bradley, Jonathan D. B.
Supercontinuum generation (SCG) is an important nonlinear optical process enabling broadband light sources for many applications, for which silicon nitride(Si3N4) has emerged as a leading on-chip platform.To achieve suitable group velocity dispersion
Externí odkaz:
http://arxiv.org/abs/2309.08318