In this contribution, we show that individual pooled difference in difference models are quite restrictive and that in essence they estimate the effect of tracking by double differentiating the estimated cross-
1.A study ondiscrepancyof monitoring values of endotracheal catheter cuff pressure in patients undergoing mechanical ventilation;机械通气病人气管导管套囊压力监测值的差异性研究 2.Discrepancy Analysis of Flue-cured Tobacco(Nicotiana tabacum L.);烤烟种质资源差异性分析 3.Impacts of stochastic modeling microto...
Here, we note that using doubly-robust estimators can be particularly attractive as they rely on less stringent modeling conditions than the outcome regression and the inverse probability weighting procedures. In order to conduct asymptotically valid inference, we justify the use of a computationally ...
Modeling can reduce the cost of a process and make the progress faster. As an example when you need to build a ship you can create few models of it and find the best solution. This is not possible in absence of modelling because you cannot build several ships and select one in reality....
Journal of Econometrics 235 (2023) 2218–2244 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom What's trending in difference-in-differences? A synthesis of the recent econometrics literature✩ Jonathan Roth a,∗, Pedro H.C. Sant...
In addition, it offers more robust modeling options (e.g., outcome-regression, inverse-probability-weighted, and doubly-robust estimators, as well as simultaneous confidence intervals that account for multiple-testing of relative-time indicators). For these reasons, our replications of prior results...
The Finite-Difference Time-Domain (FDTD) method is a rigorous and powerful tool for modeling nano-scale optical devices. FDTD solves Maxwell’s equations directly without any physical approximation, and the maximum problem size is limited only by the ext
摘要: Introduction Models for Solving Maxwell's Equations Practical Use of FD Methods Results Perspectives for Finite Difference Models Summary and Perspectives Acknowledgements References关键词: finite-difference modeling, proper calibration and good accuracy FDTD, and similar approaches in radio wave ...
3D Finite-difference Modeling of Viscoelastic And Anisotropic Wave Propagation Using the Rotated Staggered Grid We describe the application of the rotated staggered-grid (RSG) finite-difference technique to the wave equations for anisotropic and viscoelastic media. T... E Saenger,T Bohlen,F Geophys...
Machine learning is both a subset of AI and a technique used in data science. Machine learning algorithmsdetect patterns and relationships in data, autonomously adjusting their behavior to improve their performance over time.With enough high-quality training data, machine learning systems can make ...