Results 31 to 40 of about 6,880 (105)
Importance Sampling and its Optimality for Stochastic Simulation Models
, 2019 We consider the problem of estimating an expected outcome from a stochastic simulation model. Our goal is to develop a theoretical framework on importance sampling for such estimation. By investigating the variance of an importance sampling estimator, we
Chen, Yen-Chi, Choe, Youngjun
core +1 more source
Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath
Advanced Sensor Research, Volume 4, Issue 7, July 2025.The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak +5 more
wiley +1 more source
, 2010 A number of scenarios have been proposed for the origin of the supermassive black holes (SMBHs) that are found in the centres of most galaxies. Many such scenarios predict a high-redshift population of massive black holes (MBHs), with masses in the range
Apostolatos +37 more
core +1 more source
Journal of Geophysical Research: Solid Earth, Volume 130, Issue 7, July 2025.Abstract Estimates of the percentage of moderate to large crustal earthquakes (mainshocks) that have foreshocks (the foreshock rate) vary widely: Recent estimates in Southern California using an enhanced catalog range between 19% and 72%. Enhanced catalogs seem to reveal more foreshocks, possibly providing new constraints on nucleation mechanisms, but ...
R. Azad Khan +3 more
wiley +1 more source
The quantile‐based classifier with variable‐wise parameters
Canadian Journal of Statistics, Volume 53, Issue 2, June 2025.Abstract Quantile‐based classifiers can classify high‐dimensional observations by minimizing a discrepancy of an observation to a class based on suitable quantiles of the within‐class distributions, corresponding to a unique percentage for all variables.
Marco Berrettini +2 more
wiley +1 more source
Much empirical research is concerned with estimating conditional mean, median, or hazard functions. For example, labor economists are interested in estimating the mean wages of employed individuals conditional on characteristics such as years of work ...
Horowitz, Joel L.
core
, 2019 We consider a nonparametric instrumental regression model with continuous endogenous regressor where instruments are fully independent of the error term. This assumption allows us to extend the reach of this model to cases where the instrumental variable
Centorrino, Samuele +2 more
core
A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population [PDF]
, 2014 In survey analysis, the estimation of the cumulative distribution function (cdf) is of great interest: it allows for instance to derive quantiles estimators or other non linear parameters derived from the cdf.
Casanova, Sandrine, Leconte, Eve
core +5 more sources
Using Expectations Data to Study Subjective Income Expectations [PDF]
We have collected data on the one-year-ahead income expectations of members of American households in our Survey of Economic Expectations (SEE), a module of a national continuous telephone survey conducted at the University of Wisconsin.
Charles F. Manski, Jeff Dominitz
core
Adjusted empirical likelihood estimation of the youden index and associated threshold for the bigamia model [PDF]
The Youden index is a widely used measure in the framework of medical diagnostic, where the effectiveness of a biomarker (screening marker or predictor) for classifying a disease status is studied.
Elisa M. Molanes, Emilio Leton
core