Results 41 to 50 of about 20,217 (261)
RisksMaximum likelihood estimation (MLE) in infinite mixture distributions often lacks closed-form solutions, requiring numerical methods such as the Newton–Raphson algorithm.
Aceng Komarudin Mutaqin
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Bandwidth Selection for Prediction in Regression
Proceedings, 2019 There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then the existing methods can easily be ...
Inés Barbeito +2 more
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Rudarsko-geološko-naftni Zbornik, 2021 The bootstrap method is a nonparametric statistical method that through the resampling of an input data set provides the ability to obtain a new data set that is normally distributed.
Josip Ivšinović, Nikola Litvić
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Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
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Estimation and Simultaneous Confidence Bands for Fixed-Effects Panel Data Partially Linear Models
MathematicsIn this paper, we study the estimation and simultaneous confidence band (SCB) problems for fixed-effects panel data partially linear models. We remove the fixed effects and then obtain estimators for the parametric and nonparametric components, which do ...
Suigen Yang, Xiujuan Yang, Xuefei Wang
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Revstat Statistical Journal, 2018 Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez +1 more
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Advanced Science, EarlyView.Low‐level ambient benzene exposure is associated with increased risks of multiple brain disorders in urban adults. Genetic susceptibility modifies these associations, while plasma proteomics points to potential biological pathways linking benzene exposure to adverse brain health.
Jianhui Guo +10 more
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A Non-parametric Bootstrap Method for Kinetic Monte Carlo Variance Reduction [PDF]
EPJ Web of ConferencesA new variance reduction technique for Monte Carlo transport methods is investigated. This approach is based on non-parametric bootstrapping, a statistical inference and resampling method which is used to generate simulated samples of Monte Carlo scores ...
Skretteberg Martin +2 more
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Do Universal Free School Meals Improve the Dietary Quality of Food‐At‐Home Purchases?
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Since 2014, the number of schools offering universal free meals to all enrolled children without requiring annual meal applications has increased meaningfully. Using USDA's Purchase to Plate Crosswalk, a difference‐in‐differences framework, and a nationwide consumer panel, the effect of universal‐free‐meal exposure on the diet quality of food ...
Xueying Ma +2 more
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