Results 31 to 40 of about 914,146 (300)
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
doaj +1 more source
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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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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Causal network inference using biochemical kinetics [PDF]
, 2014 Motivation: Networks are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models.
Bayani, Nora +11 more
core +1 more source
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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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
core +1 more source
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
doaj +1 more source
SICE Journal of Control, Measurement, and System Integration, 2017 Design methods of asymptotically stable adaptive consensus control of multi-agent systems composed of the first-order and the second-order regression models are presented based on inverse optimal control criterion.
Yoshihiko Miyasato
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Estimation and Inference in an Ecological Inference Model [PDF]
SSRN Electronic Journal, 2015 Abstract We interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. In this setting, the counterfactual distributions and policy parameters of interest are only partially identified under a selection on observables assumption. In
Fan, Yanqin +2 more
openaire +2 more sources
Generalisations of Fisher Matrices
Entropy, 2016 Fisher matrices play an important role in experimental design and in data analysis. Their primary role is to make predictions for the inference of model parameters—both their errors and covariances.
Alan Heavens
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