Results 111 to 120 of about 45,340 (210)
Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error. [PDF]
J Am Stat Assoc, 2022 Lemyre FC, Carroll RJ, Delaigle A.
europepmc +1 more source
International Journal of Cancer, Volume 158, Issue 3, Page 574-586, 1 February 2026.What's new? While ultraviolet radiation from the sun is the main risk factor for non‐melanoma skin cancer (NMSC), additional factors contribute to NMSC development. The present study examined the impact of occupational radiation exposure on NMSC risk among radiation workers in the United Kingdom.
Nezahat Hunter, Richard Haylock
wiley +1 more source
Are Neural Representation Learning Methods a Viable Alternative to TMLE for Causal Estimation?
Data Science in Science{Simulation is used to evaluate the performance of deep learning and semiparametric causal estimators under realistic high- and low-dimensional data-generating mechanisms from epidemiologic studies.} Deep learning models that leverage representation ...
Mohammad Ehsanul Karim +1 more
doaj +1 more source
Locally robust semiparametric estimation
, 2016 Many economic and causal parameters depend on nonparametric or high dimensional first steps. We give a general construction of locally robust/orthogonal moment functions for GMM, where moment conditions have zero derivative with respect to first steps.
Chernozhukov, Victor +3 more
openaire +2 more sources
International Journal of Cancer, Volume 158, Issue 3, Page 707-715, 1 February 2026.What's new? Rising cancer incidence in the United States is associated with an increased demand on intensive care units (ICUs). Critically ill cancer patients, however, often rely on life‐sustaining therapies, which are linked to greater ICU mortality.
João Matos +6 more
wiley +1 more source
Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators [PDF]
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order'.
Hidehiko Ichimura, Oliver Linton
core
Merging Information for Semiparametric Density Estimation
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2004 SummaryThe density ratio model specifies that the likelihood ratio of m−1 probability density functions with respect to the mth is of known parametric form without reference to any parametric model. We study the semiparametric inference problem that is related to the density ratio model by appealing to the methodology of empirical likelihood.
Fokianos, Konstantinos +1 more
openaire +3 more sources
Statistics in Medicine, Volume 45, Issue 3-5, February 2026.ABSTRACT Replication is essential to reliable and consistent scientific discovery in high‐throughput experiments. Quantifying the replicability of scientific discoveries and identifying sources of irreproducibility have become important tasks for quality control and data integration.
Monia Ranalli +3 more
wiley +1 more source
Semiparametric multivariate density estimation for positive data using copulas [PDF]
In this paper we estimate density functions for positive multivariate data. We propose a semiparametric approach. The estimator combines gamma kernels or local linear kernels, also called boundary kernels, for the estimation of the marginal densities ...
BOUEZMARNI, Taoufik +1 more
core +3 more sources
Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions [PDF]
In this paper, we study semiparametric estimation for a single-index panel data model where the nonlinear link function varies among the individuals.
Degui Li, Jia Chen, Jiti Gao
core