Results 21 to 30 of about 950,595 (308)
Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 2018 We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
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One versus two doses: What is the best use of vaccine in an influenza pandemic?
Epidemics, 2015 Avian influenza A (H7N9), emerged in China in April 2013, sparking fears of a new, highly pathogenic, influenza pandemic. In addition, avian influenza A (H5N1) continues to circulate and remains a threat.
Laura Matrajt +3 more
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, 2021 y0 (pronounced "why not?") is for causal inference in ...
Jeremy Zucker +2 more
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Inference and preference in intertemporal choice
Judgment and Decision Making, 2021 When choosing between immediate and future rewards, how do people deal with uncertainty about the value of the future outcome or the delay until its occurrence? Skylark et al.
William J. Skylark +2 more
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A New Estimator for Standard Errors with Few Unbalanced Clusters
Econometrics, 2022 In linear regression analysis, the estimator of the variance of the estimator of the regression coefficients should take into account the clustered nature of the data, if present, since using the standard textbook formula will in that case lead to a ...
Gianmaria Niccodemi, Tom Wansbeek
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mvilavidal/DI-Inference-for-Python: DI-Inference-for-Python
, 2020 Python translation of Adrià Tauste's Matlab implementation of the Directionality Inference method applied to simultaneous neuronal spike trains (https://github.com/AdTau/DI-Inference)
AdTau, Manel Vila-Vidal
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A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems
Energies, 2023 Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics.
Grzegorz Filo
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Remote Sensing, 2020 It is computationally challenging to fit models to big data. For example, satellite imagery data often contain billions to trillions of pixels and it is not possible to use a pixel-level analysis to identify drivers of land-use change and create ...
Denis Valle +3 more
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sheaduarte/Multisensory-Causal-Inference-VR:
, 2022 Multisensory causal inference VR task made in Unity for Vive Pro Eye ...
Shea E. Duarte
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Cost Efficient GPU Cluster Management for Training and Inference of Deep Learning
Energies, 2022 Expanding the scale of GPU-based deep learning (DL) clusters would bring not only accelerated AI services but also significant energy consumption costs. In this paper, we propose a cost efficient deep learning job allocation (CE-DLA) approach minimizing ...
Dong-Ki Kang +2 more
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