Results 31 to 40 of about 442,883 (292)
Bayesian nonparametric duration model with censorship
Statistica, 2007 This paper is concerned with nonparametric i.i.d. durations models censored observations and we establish by a simple and unified approach the general structure of a bayesian nonparametric estimator for a survival function S.
Joseph Hakizamungu, Jean-Marie Rolin
doaj +1 more source
Analysis of Option Butterfly Portfolio Models Based on Nonparametric Estimation Deep Learning Method
Journal of Function Spaces, 2023 The option butterfly portfolio is the commonly option arbitrage strategy. In reality, because the distribution of the option state price density (SPD) function is not normal and unknown, so the nonparametric deep learning methods to estimate option ...
Xiangyu Ge +4 more
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Parametric and Nonparametric Frequentist Model Selection and Model Averaging
Econometrics, 2013 This paper presents recent developments in model selection and model averaging for parametric and nonparametric models. While there is extensive literature on model selection under parametric settings, we present recently developed results in the context
Aman Ullah, Huansha Wang
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Modeling the volatility of Bitcoin returns using Nonparametric GARCH models
Academic Finance, 2022 Objective: The purpose of this paper is to demonstrate the effectiveness of the nonparametric GARCH model for the prediction of future Bitcoin prices. Methodology: The parametric GARCH models to characterize the volatility of Bitcoin returns are ...
Sami MESTIRI
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The consistency of estimator under fixed design regression model with NQD errors
, 2013 In this article, basing on NQD samples, we investigate the fixed design nonparametric regression model, where the errors are pairwise NQD random errors, with fixed design points, and an unknown function.
Chen, Xiao-ping +2 more
core +1 more source
, 1947 This paper considers identification of unknown parameters in elastic dynamic models of industrial robots. Identifying such models is a challenging task since an industrial robot is a multivariable, nonlinear, resonant, and unstable system.
Moberg, Stig, Wernholt, Erik
core +2 more sources
E-Jurnal Matematika, 2022 Regression analysis is one of the statistical analyses used to estimate the relationship between the predictor and the response variable. Data are given in pairs, and the relationship between the predictor and the response variable was assumed to follow ...
NURUL FITRIYANI, I NYOMAN BUDIANTARA
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Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Statistical inference in compound functional models [PDF]
, 2012 We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
core +4 more sources
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source