Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]
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A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making. [PDF]
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Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification. [PDF]
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Estimating endogenous treatments effects under long-range dependency without untreated controls. [PDF]
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Identification and quantification of irreversibility in stochastic systems.
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A hybrid estimator for selectivity estimation
IEEE Transactions on Knowledge and Data Engineering, 1999Traditional sampling-based estimators infer the actual selectivity of a query based purely on runtime information gathering, excluding the previously collected information, which underutilizes the information available. Table-based and parametric estimators extrapolate the actual selectivity of a query based only on the previously collected information,
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