Efficient non-parametric estimation of variable productivity Hawkes processes. [PDF]
J Appl StatPhillips S, Schoenberg F.
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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents. [PDF]
PLoS One, 2022 Pircher T, Pircher B, Feigenspan A.
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A simple nonparametric estimator of a monotone regression function [PDF]
In this paper a new method for monotone estimation of a regression function is proposed. The estimator is obtained by the combination of a density and a regression estimate and is appealing to users of conventional smoothing methods as kernel estimators,
Dette, Holger +2 more
core
Joint Registration and Conformal Prediction for Partially Observed Functional Data. [PDF]
J Comput Graph StatWang F, Kurtek S, Zhang Y.
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Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data. [PDF]
Entropy (Basel)Alamari MB +4 more
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Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data. [PDF]
J Mach Learn Res, 2023 Hu B, Nan B.
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دراسة مقارنة بين مقدر ندارايا- واتسن ومقدر ندارايا- واتسن المرجح لدالة متوسط الانحدار
, 2015 Nonparametric kernel estimators are widely used in regression estimation. One of the most important kernel estimators of the regression mean function is the Nadaraya-Watson estimator.
Salha, Raid B.
core
Doubly Flexible Estimation under Label Shift. [PDF]
J Am Stat AssocLee SH, Ma Y, Zhao J.
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New Insights into the Estimation of Reproduction Numbers during an Epidemic. [PDF]
Vaccines (Basel), 2022 Sebastiani G, Spassiani I.
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Avoiding the Surrogate Paradox: An Empirical Framework for Assessing Assumptions. [PDF]
J Nonparametr StatHsiao E, Tian L, Parast L.
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