Results 11 to 20 of about 442,883 (292)
Fourier Series Nonparametric Regression Modeling in the Case of Rainfall in West Java Province
The Fourier series is a trigonometric polynomial that has flexibility, so it adapts effectively to the local nature of the data. This Fourier series estimator is generally used when the data used is investigated for unknown patterns and there is a ...
Anatansyah Ayomi Anandari +2 more
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The response variable of the regression analysis has a linear relationship with one of the variable predictors, however the unknown relationship pattern with the other predictor variables.
Hesikumalasari Hesikumalasari +3 more
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Forest reference (emission) levels (FREL/FRLs) are baselines for REDD+, and 34 countries have submitted their FREL/FRLs to UNFCCC by January 2018. Most of them used simple historical average without considering the stages of forest transition.
Tetsuya Michinaka
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In this paper, a nonparametric spatial-temporal self-exciting point process is proposed to model clustering features in emergency calls. Gaussian kernel density functions are considered.
Chenlong Li, Zhanjie Song, Xu Wang
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An improved multiply robust estimator for the average treatment effect
Background In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). However,
Ce Wang +4 more
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Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation
In ultrahigh dimensional data analysis, to keep computational performance well and good statistical properties still working, nonparametric additive models face increasing challenges.
Haofeng Wang +3 more
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On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices. [PDF]
A semi-nonparametric generalized multinomial logit model, formulated using orthonormal Legendre polynomials to extend the standard Gumbel distribution, is presented in this paper.
Ke Wang +3 more
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Region-Based Nonparametric Model for Interactive Image Segmentation
In this paper, we present a novel framework for interactive segmentation problems. It integrates a nonparametric model into the Conditional Random Field (CRF) framework, which can effectively combine high-level features with low-level features to ...
Dan Wang +4 more
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Daily nonparametric ARCH(1) model estimation using intraday high frequency data
In this paper, the intraday high-frequency data are used to estimate the volatility function of daily nonparametric ARCH(1) model. A nonparametric volatility proxy model is proposed to achieve this objective.
Xin Liang +3 more
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Natural Characteristics Analysis of a Dual-Rotor System with Nonparametric Uncertainty
In order to evaluate the impacts of parameter uncertainty and nonparametric uncertainty on the natural characteristics of a dual-rotor system, a nonparametric probabilistic method based on random matrix theory is proposed.
Hangfei Wu +3 more
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