Results 21 to 30 of about 1,618,729 (319)
Habitat Suitability Estimation Using a Two-Stage Ensemble Approach
Biodiversity conservation is important for the protection of ecosystems. One key task for sustainable biodiversity conservation is to effectively preserve species’ habitats.
Jehyeok Rew +3 more
doaj +1 more source
Two-Stage Nested Array Direction of Arrival Estimation for Mixed Signals
In this paper, a novel two-stage subspace-based direction of arrival (DOA) estimation algorithm with the nested array is proposed for mixed signals containing circular and non-circular ones.
Wanru Li, Ke Deng
doaj +1 more source
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
core +2 more sources
Two Stage Particle Filter for Nonlinear Bayesian Estimation
The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
doaj +1 more source
Maximum Score Estimation of Preference Parameters for a Binary Choice Model under Uncertainty [PDF]
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
core +3 more sources
Two Stage and Related Estimators and Their Applications [PDF]
This paper aims to provide a unified treatment of the properties of two stage estimators. General conditions are set forth for consistency, efficiency and correct inferences. Applications of the general theorems are made to models with expectations and diagnostic tests. The general approach frequently enables much simpler derivation of existing results,
openaire +3 more sources
Beyond Support in Two-Stage Variable Selection [PDF]
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
core +3 more sources
Two-Stage Channel Estimation for Semi-Passive RIS-Assisted Millimeter Wave Systems
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
doaj +1 more source
Characterization of the asymptotic distribution of semiparametric M-estimators [PDF]
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
core +3 more sources
Estimation of Tropical Cyclone Intensity via Deep Learning Techniques from Satellite Cloud Images
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
doaj +1 more source

