Zobrazeno 1 - 10
of 8 332
pro vyhledávání: '"RICHARDSON, DAVID A."'
Autor:
Xiao, T. Patrick, Feinberg, Ben, Richardson, David K., Cannon, Matthew, Medu, Harsha, Agrawal, Vineet, Marinella, Matthew J., Agarwal, Sapan, Bennett, Christopher H.
Edge devices are being deployed at increasing volumes to sense and act on information from the physical world. The discrete Fourier transform (DFT) is often necessary to make this sensed data suitable for further processing $\unicode{x2013}$ such as
Externí odkaz:
http://arxiv.org/abs/2409.19071
We introduce a novel all-optical platform in multimode and multicore fibres. By using a low-power probe beam and a high-power counter-propagating control beam, we achieve advanced and dynamic control over light propagation within the fibres. This set
Externí odkaz:
http://arxiv.org/abs/2409.15929
Autor:
Szwaj, Marzanna, Davidson, Ian A, Johnson, Peter B, Jasion, Greg, Jung, Yongmin, Sandoghchi, Seyed Reza, Herdzik, Krzysztof P, Bourdakos, Konstantinos N, Wheeler, Natalie V, Mulvad, Hans Christian, Richardson, David J, Poletti, Francesco, Mahajan, Sumeet
In this work, we study a new hollow-core (air-filled) double-clad anti-resonant fiber (DC-ARF) as a potent candidate for multiphoton micro-endoscopy. We compare the fiber characteristics with a single-clad anti-resonant fiber (SC-ARF) and a solid cor
Externí odkaz:
http://arxiv.org/abs/2311.03214
Autor:
Ji, Kunhao, Davidson, Ian, Sahu, Jayantha, Richardson, David. J., Wabnitz, Stefan, Guasoni, Massimiliano
Novel fundamental notions helping in the interpretation of the complex dynamics of nonlinear systems are essential to our understanding and ability to exploit them. In this work we predict and demonstrate experimentally a fundamental property of Kerr
Externí odkaz:
http://arxiv.org/abs/2310.13875
Negative control variables are sometimes used in non-experimental studies to detect the presence of confounding by hidden factors. A negative control outcome (NCO) is an outcome that is influenced by unobserved confounders of the exposure effects on
Externí odkaz:
http://arxiv.org/abs/2302.06054
Difference-in-differences is undoubtedly one of the most widely used methods for evaluating the causal effect of an intervention in observational (i.e., nonrandomized) settings. The approach is typically used when pre- and post-exposure outcome measu
Externí odkaz:
http://arxiv.org/abs/2302.00840
Autor:
Molina-Montenegro, Marco A., Ballesteros, Gabriel I., Acuña-Rodríguez, Ian S., Pertierra, Luis R., Greve, Michelle, Richardson, David M., Convey, Peter, Biersma, Elisabeth M., Goodall-Copestake, William P., Newsham, Kevin K.
Publikováno v:
Diversity and Distributions, 2023 Nov 01. 29(11), 1432-1444.
Externí odkaz:
https://www.jstor.org/stable/48747149
We consider studies where multiple measures on an outcome variable are collected over time, but some subjects drop out before the end of follow up. Analyses of such data often proceed under either a 'last observation carried forward' or 'missing at r
Externí odkaz:
http://arxiv.org/abs/2207.11561
Autor:
Shahn, Zach, Dukes, Oliver, Shamsunder, Meghana, Richardson, David, Tchetgen, Eric Tchetgen, Robins, James
We link and extend two approaches to estimating time-varying treatment effects on repeated continuous outcomes--time-varying Difference in Differences (DiD; see Roth et al. (2023) and Chaisemartin et al. (2023) for reviews) and Structural Nested Mean
Externí odkaz:
http://arxiv.org/abs/2204.10291
Autor:
Dukes, Oliver, Richardson, David B., Shahn, Zachary, Robins, James M., Tchetgen, Eric J. Tchetgen
Many proposals for the identification of causal effects require an instrumental variable that satisfies strong, untestable unconfoundedness and exclusion restriction assumptions. In this paper, we show how one can potentially identify causal effects
Externí odkaz:
http://arxiv.org/abs/2204.04119