Zobrazeno 1 - 10
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pro vyhledávání: '"Reynolds, Daniel"'
Autor:
Ober-Reynolds, Daniel
Missing data is pervasive in econometric applications, and rarely is it plausible that the data are missing (completely) at random. This paper proposes a methodology for studying the robustness of results drawn from incomplete datasets. Selection is
Externí odkaz:
http://arxiv.org/abs/2406.06804
Autor:
Balos, Cody J., Day, Marc, Esclapez, Lucas, Felden, Anne M., Gardner, David J., Hassanaly, Malik, Reynolds, Daniel R., Rood, Jon, Sexton, Jean M., Wimer, Nicholas T., Woodward, Carol S.
Many complex systems can be accurately modeled as a set of coupled time-dependent partial differential equations (PDEs). However, solving such equations can be prohibitively expensive, easily taxing the world's largest supercomputers. One pragmatic s
Externí odkaz:
http://arxiv.org/abs/2405.01713
The Poisson-Boltzmann (PB) model governs the electrostatics of solvated biomolecules, i.e., potential, field, energy, and force. These quantities can provide useful information about protein properties, functions, and dynamics. By considering the adv
Externí odkaz:
http://arxiv.org/abs/2312.10044
Autor:
Ober-Reynolds, Daniel
Many causal parameters depend on a moment of the joint distribution of potential outcomes. Such parameters are especially relevant in policy evaluation settings, where noncompliance is common and accommodated through the model of Imbens & Angrist (19
Externí odkaz:
http://arxiv.org/abs/2311.09435
Implicit-Explicit (IMEX) methods are flexible numerical time integration methods which solve an initial-value problem (IVP) that is partitioned into stiff and nonstiff processes with the goal of lower computational costs than a purely implicit or exp
Externí odkaz:
http://arxiv.org/abs/2301.00865