Tree-based conditional copula estimation
This article proposes a regression tree procedure to estimate conditional copulas. The associated algorithm determines classes of observations based on covariate values and fits a simple parametric copula model on each class.
Bonacina Francesco +2 more
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Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses
There is a growing literature on design-based (DB) methods to estimate average treatment effects (ATEs) for randomized controlled trials (RCTs) for full sample analyses.
Schochet Peter Z.
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Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation
The estimation of conditional average treatment effects (CATEs) is an important problem in many applications. Many machine learning-based frameworks for such estimation have been proposed, including meta-learning, causal trees, and causal forests ...
Nizam Sohail +3 more
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Targeted maximum likelihood based estimation for longitudinal mediation analysis
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 +5 more
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In the realm of statistical mechanics, unit models are commonly employed to elucidate tangible numerical values that fall within the range of 0–1, encompassing entities like proportions, percentages, and probabilities.
Tabassum Naz Sindhu +3 more
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On the exponential inequality for acceptable random variables
In this paper, we obtain some new exponential inequalities for partial sums and their finite maximum of acceptable random variables by the results of Sung et al. (J. Korean Stat. Soc., 40, 109-114, 2011) and in different ways from theirs.
Gao Qingwu, Wang Yuebao, Li Yawei
doaj
Testing Linear Operator Constraints in Functional Response Regression with Incomplete Response Functions. [PDF]
Park Y, Han K, Simpson DG.
europepmc +1 more source
Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data. [PDF]
Irshad MR +3 more
europepmc +1 more source
Rates of convergence for regression with the graph poly-Laplacian. [PDF]
Trillos NG, Murray R, Thorpe M.
europepmc +1 more source
Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data. [PDF]
Litimein O +4 more
europepmc +1 more source

