Results 101 to 110 of about 2,902,778 (234)
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, EarlyView.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
LABOUR, EarlyView.ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models
Journal of MathematicsMulticollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan +3 more
doaj +1 more source
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2023 Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression.
Tony Yulianto +6 more
doaj
Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley +1 more source
Comparing Groups of Decision-Making Units in Efficiency Based on Semiparametric Regression
Mathematics, 2020 We consider a stochastic frontier model in which a deviation of output from the production frontier consists of two components, a one-sided technical inefficiency and a two-sided random noise.
Hohsuk Noh, Seong J. Yang
doaj +1 more source
Digital Roots or Digital Routes? Broadband Expansion and the Rural‐Urban Migration in China
Population and Development Review, EarlyView.Abstract This study investigates how broadband internet affects rural–urban migration in China using the Universal Broadband and Telecommunication Services pilot program launched in 2015 as a quasi‐experimental setting. Analyzing China Household Finance Survey data (2013–2021) with difference‐in‐differences estimation, we find that improved internet ...
Shuang Ma, Ren Mu
wiley +1 more source
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data
Journal of the American Statistical Association, 2020 We propose a new method for analysis of multivariate point pattern data observed in a heterogeneous environment and with complex intensity functions. We suggest semiparametric models for the intensity functions that depend on an unspecified factor common
Kristian Bjørn Hessellund +3 more
semanticscholar +1 more source
Robinson's Squareroot-of-n-consistent Semiparametric Regression Estimator in Stata [PDF]
This paper describes Robinson's (1988) double residual semiparametric regression estimator and Hardle and Mammen's (1993) specification test implementation in Stata.
Nicolas Debarsy, Vincenzo Verardi
core
BarekengClimate change can affect rice production through changes in temperature, precipitation patterns, extreme weather events, and atmospheric carbon dioxide levels.
Sri Sulistijowati Handajani +5 more
doaj +1 more source