Results 21 to 30 of about 110 (98)

Minimally capturing heterogeneous complier effect of endogenous treatment for any outcome variable

Journal of Causal Inference, 2023
When a binary treatment DD is possibly endogenous, a binary instrument δ\delta is often used to identify the “effect on compliers.” If covariates XX affect both DD and an outcome YY, XX should be controlled to identify the “XX-conditional complier ...
Lee Goeun, Choi Jin-young, Lee Myoung-jae   +2 more
doaj   +1 more source

Strong convergence for weighted sums of (α, β)-mixing random variables and application to simple linear EV regression model

Open Mathematics
In this article, the complete convergence and the Kolmogorov strong law of large numbers for weighted sums of (α,β)\left(\alpha ,\beta )-mixing random variables are presented.
Hu Wenjing, Wang Wei, Wu Yi
doaj   +1 more source

Nonparametric C- and D-vine-based quantile regression

Dependence Modeling, 2022
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides more accurate modeling of the stochastic ...
Tepegjozova Marija, Zhou Jing, Claeskens Gerda, Czado Claudia   +3 more
doaj   +1 more source

Local linear approach: Conditional density estimate for functional and censored data

Demonstratio Mathematica, 2022
Let YY be a random real response, which is subject to right censoring by another random variable CC. In this paper, we study the nonparametric local linear estimation of the conditional density of a scalar response variable and when the covariable takes ...
Benkhaled Abdelkader, Madani Fethi
doaj   +1 more source

Analisis efektivitas vaksin booster pada kasus terkonfirmasi positif Covid-19 menggunakan uji Mann-Whitney

Majalah Ilmiah Matematika dan Statistika, 2023
Covid cases in Indonesia have started to decline since the vaccination program was carried out in January 2021. Until now the vaccination program in Indonesia has reached the third vaccination stage or booster vaccine.
Fadilla Zundina Ulya, Atika Ratna Dewi, Alifia Zahra Winesti, Laksmi Dyah Nurlita   +3 more
doaj   +1 more source

Strong consistency of regression function estimator with martingale difference errors

Open Mathematics, 2021
In this paper, we consider the regression model with fixed design: Yi=g(xi)+εi{Y}_{i}=g\left({x}_{i})+{\varepsilon }_{i}, 1≤i≤n1\le i\le n, where {xi}\left\{{x}_{i}\right\} are the nonrandom design points, and {εi}\left\{{\varepsilon }_{i}\right\} is a ...
Chen Yingxia
doaj   +1 more source

Targeted maximum likelihood based estimation for longitudinal mediation analysis

Journal of Causal Inference
Causal mediation analysis with random interventions has become an area of significant interest for understanding time-varying effects with longitudinal and survival outcomes.
Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der   +5 more
doaj   +1 more source

Pharmacokinetics and Pharmacodynamics Models of Tumor Growth and Anticancer Effects in Discrete Time

Computational and Mathematical Biophysics, 2020
We study the h-discrete and h-discrete fractional representation of a pharmacokinetics-pharmacodynamics (PK-PD) model describing tumor growth and anticancer effects in continuous time considering a time scale h𝕅0, where h > 0.
Atıcı Ferhan M., Nguyen Ngoc, Dadashova Kamala, Pedersen Sarah E., Koch Gilbert   +4 more
doaj   +1 more source

An optimal transport approach to estimating causal effects via nonlinear difference-in-differences

Journal of Causal Inference
We propose a nonlinear difference-in-differences (DiD) method to estimate multivariate counterfactual distributions in classical treatment and control study designs with observational data.
Torous William, Gunsilius Florian, Rigollet Philippe   +2 more
doaj   +1 more source

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions

Dependence Modeling
Kendall’s tau and conditional Kendall’s tau matrices are multivariate (conditional) dependence measures between the components of a random vector. For large dimensions, available estimators are computationally expensive and can be improved by averaging ...
van der Spek Rutger, Derumigny Alexis
doaj   +1 more source