Results 91 to 100 of about 6,656,167 (244)

Generalized (ℱ,b,ϕ,ρ,θ)-univex n-set functions and semiparametric duality models in multiobjective fractional subset programming

International Journal of Mathematics and Mathematical Sciences, 2005
We construct a number of semiparametric duality models and establish appropriate duality results under various generalized (ℱ,b,ϕ,ρ,θ)-univexity assumptions for a multiobjective fractional subset programming problem.
G. J. Zalmai
doaj   +1 more source

Semiparametric Estimation in Simultaneous Equations of Time Series Models [PDF]

A system of vector semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Jiti Gao, Peter C. B. Phillips
core  

Sensitivity analysis for unmeasured pretreatment confounders in causal mediation analysis with debiased machine learning

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Sensitivity analysis for unmeasured confounders is essential for assessing the robustness of causal mediation conclusions. Most existing methods rely on parametric assumptions, which are ill‐suited for machine learning‐based estimators that are not tied to specific parametric models.
Xiao Liu, Cameron McCann
wiley   +1 more source

Noniterative adjustment to regression estimators with population-based auxiliary information for semiparametric models. [PDF]

Biometrics, 2023
Gao F, Chan KCG.
europepmc   +1 more source

Demand Shocks, Export Diversification, and Firm Performance During the Great Trade Collapse

Journal of Economics &Management Strategy, EarlyView.
ABSTRACT This paper analyzes the impact of external demand shocks from the 2008 to 2009 Great Trade Collapse on the performance of Chinese exporters and examines how export diversification mitigates these effects. Using Chinese Customs data merged with financial data from all listed Chinese firms, we construct firm‐specific demand shocks based on pre ...
Qianlin Hong, Zeyang Jin, Runjuan Liu, Jiadong Tong   +3 more
wiley   +1 more source

Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model

Scientific Reports
The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories.
Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan   +8 more
doaj   +1 more source

Semiparametric Trending Panel Data Models with Cross-Sectional Dependence [PDF]

A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals.
Jia Chen, Jiti Gao, Degui Li
core  

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Online Semiparametric Identification of Lithium-Ion Batteries Using the Wavelet-Based Partially Linear Battery Model

Energies, 2013
Battery model identification is very important for reliable battery management as well as for battery system design process. The common problem in identifying battery models is how to determine the most appropriate mathematical model structure and ...
Caiping Zhang, Jiuchun Jiang, Dazhong Mu
doaj   +1 more source

Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero. [PDF]

Biometrics, 2021
Cheng J, Small DS.
europepmc   +1 more source