Results 31 to 40 of about 15,261 (244)
Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
doaj +1 more source
Fast Algorithm for Impact Point Selection in Semiparametric Functional Models
Proceedings, 2019 A new sparse semiparametric functional model is proposed, which tries to incorporate the influence of two functional variables in a scalar response in a quite simple and interpretable way. One of the functional variables is included trough a single-index
Silvia Novo +2 more
doaj +1 more source
Mathematics, 2023 Multivariate “Bayesian” regression via a shared component model has gained popularity in recent years, particularly in modeling and mapping the risks associated with multiple diseases.
I. Gede Nyoman Mindra Jaya +5 more
doaj +1 more source
Estimation of a semiparametric transformation model
The Annals of Statistics, 2008 This paper proposes consistent estimators for transformation parameters in semiparametric models. The problem is to find the optimal transformation into the space of models with a predetermined regression structure like additive or multiplicative separability.
Linton, Oliver +2 more
openaire +8 more sources
Media Statistika, 2020 Confidence interval estimation is important in statistical inference for the parameters of the regression model, but the theory of confidence interval estimation for multi-response semiparametric regression model parameters based on the truncated spline ...
Lilik Hidayati +2 more
doaj +1 more source
Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates
Mathematics, 2022 As applied sciences grow by leaps and bounds, semiparametric regression analyses have broad applications in various fields, such as engineering, finance, medicine, and public health.
Yunquan Song, Yaqi Liu, Hang Su
doaj +1 more source
Semiparametric optimal estimation with nonignorable nonresponse data [PDF]
, 2021 When the response mechanism is believed to be not missing at random (NMAR), a valid analysis requires stronger assumptions on the response mechanism than standard statistical methods would otherwise require.
Kim, Jae Kwang, Morikawa, Kosuke
core +1 more source
Robust-BD Estimation and Inference for General Partially Linear Models
Entropy, 2017 The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric
Chunming Zhang, Zhengjun Zhang
doaj +1 more source
A Semiparametric Multilevel Survival Model
Journal of the Royal Statistical Society Series C: Applied Statistics, 2004 SummaryWe propose a semiparametric multilevel survival model for clustered duration data in which the effect of a continuous covariate is represented by an unspecified, possibly non-linear, function. This model makes no distributional assumption about the cluster level random effects.
Zhang, Wenyang, Steele, Fiona
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source