Results 31 to 40 of about 2,762,871 (394)
Robust variance estimation and inference for causal effect estimation
Journal of Causal Inference, 2023 We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
doaj +1 more source
Comparison of EVT Approach with Other Methods of Measuring Market Risk (VAR) in the Context of the Backtesting and Kupiec Test: Implications for Market Risk Management of Financial Institutions [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2017 In recent years, by using extreme value theory (EVT), researchers have estimated the market risk for rare events (crises) more accurately. This paper examines the different methods of measuring market risk at different levels of reliability. According to
Reza Taleblou, mohammad mahdi davoudi
doaj +1 more source
Computers, 2022 The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA).
David Gilberto Gracia-Velásquez +2 more
doaj +1 more source
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images [PDF]
IEEE International Conference on Computer Vision, 2019 In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape of a person is ...
Valentin Gabeur +4 more
semanticscholar +1 more source
Deep Parametric Indoor Lighting Estimation [PDF]
IEEE International Conference on Computer Vision, 2019 We present a method to estimate lighting from a single image of an indoor scene. Previous work has used an environment map representation that does not account for the localized nature of indoor lighting.
Marc-André Gardner +4 more
semanticscholar +1 more source
Bayesian Estimation of Component Reliability in Coherent Systems
IEEE Access, 2018 The first step in statistical reliability studies of coherent systems is the estimation of the reliability of each system component. For the cases of parallel and series systems, the literature is abundant, but it seems that the present paper is the ...
Agatha S. Rodrigues +3 more
doaj +1 more source
Parameter Estimation for a Class of Lifetime Models
Abstract and Applied Analysis, 2014 Our purpose in this paper is to present a better method of parametric estimation for a bivariate nonlinear regression model, which takes the performance indicator of rubber aging as the dependent variable and time and temperature as the independent ...
Xinyang Ji, Shunhou Fan, Wei Fan
doaj +1 more source
Econometrics, 2018 It is sometimes observed and frequently assumed that top incomes in household surveys worldwide are poorly measured and that this problem biases the measurement of income inequality.
Vladimir Hlasny, Paolo Verme
doaj +1 more source
A 6DoF Pose Estimation Dataset and Network for Multiple Parametric Shapes in Stacked Scenarios
Machines, 2021 Most industrial parts are instantiated from different parametric templates. The 6DoF (6D) pose estimation tasks are challenging, since some part objects from a known template may be unseen before.
Xinyu Zhang, Weijie Lv, Long Zeng
doaj +1 more source
IEEE Access, 2018 A new transient Granger causality detection method is proposed based on a time-varying parametric modeling framework, and is applied to the real EEG signals to reveal the causal information flow during motor imagery (MI) tasks.
Yang Li +4 more
doaj +1 more source