Results 31 to 40 of about 8,383,033 (391)
Solving Estimating Equations With Copulas
Journal of the American Statistical Association, 2023 Thanks to their ability to capture complex dependence structures, copulas are frequently used to glue random variables into a joint model with arbitrary marginal distributions. More recently, they have been applied to solve statistical learning problems such as regression or classification.
Thomas Nagler, Thibault Vatter
openaire +2 more sources
Counting Process Based Dimension Reduction Methods for Censored Outcomes [PDF]
, 2018 We propose a class of dimension reduction methods for right censored survival data using a counting process representation of the failure process. Semiparametric estimating equations are constructed to estimate the dimension reduction subspace for the ...
Sun, Qiang +3 more
core +3 more sources
Remote Sensing, 2013 Net radiation is a key component of the energy balance, whose estimation accuracy has an impact on energy flux estimates from satellite data. In typical remote sensing evapotranspiration (ET) algorithms, the outgoing shortwave and longwave components of ...
Ted W. Sammis +5 more
doaj +1 more source
Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
PeerJ, 2014 Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
doaj +2 more sources
COMPARISON OF ESTIMATES FOR DISPERSIVE EQUATIONS [PDF]
Further Progress in Analysis, 2009 an expository note; 7 ...
Mitsuru Sugimoto, Michael Ruzhansky
openaire +3 more sources
Adjusted empirical likelihood with high-order precision [PDF]
, 2010 Empirical likelihood is a popular nonparametric or semi-parametric statistical method with many nice statistical properties. Yet when the sample size is small, or the dimension of the accompanying estimating function is high, the application of the ...
Chen, Jiahua, Liu, Yukun
core +2 more sources
Bounds on coverage probabilities of the empirical likelihood ratio confidence regions [PDF]
, 2004 This paper studies the least upper bounds on coverage probabilities of the empirical likelihood ratio confidence regions based on estimating equations.
Tsao, Min
core +1 more source
An error estimate for matrix equations [PDF]
Applied Numerical Mathematics, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cao, Y, Petzold, L
openaire +4 more sources
R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses [PDF]
, 2014 The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical ...
Anestis Touloumis
semanticscholar +1 more source
Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
EntropyThis paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
doaj +1 more source