Results 81 to 90 of about 19,219 (292)
Assessing Influence on Partially Varying-coefficient Generalized Linear Model
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function.
Germán Ibacache-Pulgar +2 more
doaj +1 more source
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model [PDF]
David Buch +2 more
openalex +1 more source
Endogeneity in semiparametric binary response models
This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuous endogenous regressors. It extends existing results on semiparametric estimation in single index binary response models to the ...
Blundell, R., Powell, J.L.
core
Mixing It Up: Inflation at Risk
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
Estimation of Copula-Based Semiparametric Time Series Models [PDF]
This paper studies the estimation of a class of copula-based semiparametric stationary Markov models. These models are characterized by nonparametric invariant (or marginal) distributions and parametric copula functions that capture the temporal ...
Yanqin Fan, Xiaohong Chen
core
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Background: The goal of this study is to extend the applications of parametric survival models so that they include cases in which accelerated failure time (AFT) assumption is not satisfied, and examine parametric and semiparametric models under ...
Alireza Abadi +3 more
doaj
Bayesian semiparametric long memory models for discretized event data [PDF]
Antik Chakraborty +2 more
openalex +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
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

