Results 221 to 230 of about 91,138 (340)
Robust Inference when Nuisance Parameters may be Partially Identified with Applications to Synthetic Controls [PDF]
J. M. Fry
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Background Anorexia nervosa (AN) is a severe eating disorder associated with drastic reductions in gray and white matter (WM) volume and structural connectivity alterations. However, the hypotheses regarding underlying mechanisms are inconclusive. The current study investigated the relationships of WM volume as well as WM network architecture with ...
Inger Hellerhoff +10 more
wiley +1 more source
Semiparametric efficient estimation of small genetic effects in large-scale population cohorts. [PDF]
Labayle O +7 more
europepmc +1 more source
Confidence Regions with Nuisance Parameters
openaire +1 more source
Four Afrotropical Culicoides species are recorded in Mauritius with suspected or historically involvement in BTV and EHDV transmission. All species were distributed all over the island. While intra‐specific morphological variations were detected, genetic analyses did not reveal any cryptic diversity. Abstract Viruses transmitted by biting midge species
Diana P. Iyaloo +15 more
wiley +1 more source
Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters [PDF]
Sohom Bhattacharya +2 more
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The highlands of eastern Democratic Republic of the Congo (DRC) are home to critically endangered eastern gorillas (Gorilla beringei). Climate change could increase the abundance and distribution of Culicoides‐borne diseases. We utilized morphological and molecular techniques to identify Culicoides spp.
Alisa Kubala +11 more
wiley +1 more source
Reference Paper: Maroun et al. "Endoscopic discectomy for L4-L5 disc herniation: A meta-analysis comparing transforaminal and interlaminar approaches". [PDF]
Pongmanee S, Kim JS.
europepmc +1 more source
Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
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

