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Maximum Score Estimation of Preference Parameters for a Binary Choice Model under Uncertainty [PDF]
, 2013 This paper develops maximum score estimation of preference parameters in the binary choice model under uncertainty in which the decision rule is affected by conditional expectations.
Chen, Le-Yu +2 more
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On Two-Stage Non-Parametric Estimation [PDF]
The Annals of Mathematical Statistics, 1963 Abstract : A two-sample, two-stage non-parametric estimation problem is studied. The parameter phi phi(F, G) under consideration is estimable (i.e., there exists an unbiased estimator which is a function of independent observations from two populations with cumulative distribution functions F(X) and G(Y). (Hence, it is called a two-sample problem.) The
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Characterization of the asymptotic distribution of semiparametric M-estimators [PDF]
, 2010 This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Ichimura, H, Lee, S
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Two-stage robust optical flow estimation [PDF]
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002 We formulate optical flow estimation as a two-stage regression problem. Based on characteristics of these two regression models and conclusions on modern regression methods, we choose a least trimmed squares followed by a weighted least squares estimator to solve the optical flow constraint (OFC); and at places where this one-stage robust method fails ...
M. Ye, R.M. Haralick
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, 2021 Quantum detector tomography is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, a novel quantum detector tomography method is proposed.
Dong, Daoyi +5 more
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Two-stage re-estimation adaptive design: a simulation study
Epidemiology, Biostatistics and Public Health, 2013 Background: adaptive clinical trial design has been proposed as a promising new approach to improve the drug discovery process. Among the many options available, adaptive sample size re-estimation is of great interest mainly because of its ability to ...
Francesca Galli, Luigi Mariani
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Two-Stage Channel Estimation for Semi-Passive RIS-Assisted Millimeter Wave Systems
Sensors, 2022 In a reconfigurable intelligent surface (RIS) assisted millimeter Wave (mmWave) communication system, the channel coefficient increases exponentially with the number of RIS elements which results in expensive pilot overhead.
Chengzuo Peng +5 more
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Beyond Support in Two-Stage Variable Selection [PDF]
, 2015 Numerous variable selection methods rely on a two-stage procedure, where a sparsity-inducing penalty is used in the first stage to predict the support, which is then conveyed to the second stage for estimation or inference purposes.
Ambroise, Christophe +3 more
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Estimation of Tropical Cyclone Intensity via Deep Learning Techniques from Satellite Cloud Images
Remote Sensing, 2023 Estimating the intensity of tropical cyclones (TCs) is usually involved as a critical step in studies on TC disaster warnings and prediction. Satellite cloud images (SCIs) are one of the most effective and preferable data sources for TC research. Despite
Biao Tong +5 more
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Two-Stage Maximum Score Estimator
, 2020 This paper considers the asymptotic theory of a semiparametric M-estimator that is generally applicable to models that satisfy a monotonicity condition in one or several parametric indexes. We call the estimator two-stage maximum score (TSMS) estimator since our estimator involves a first-stage nonparametric regression when applied to the binary choice
Gao, Wayne Yuan, Xu, Sheng, Xu, Kan
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