Results 111 to 120 of about 169 (137)
Nonparametric Mixture of Regression Models. [PDF]
Huang M, Li R, Wang S.
europepmc +1 more source
Local Linear Regression for Data with AR Errors. [PDF]
Li R, Li Y.
europepmc +1 more source
Quantitative Imaging Advances in HPV-Positive Oropharyngeal Carcinoma. [PDF]
Farrell D +16 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Journal of Statistical Computation and Simulation, 2016
ABSTRACTThis work treats non-parametric estimation of multivariate probability mass functions, using multivariate discrete associated kernels. We propose a Bayesian local approach to select the matrix of bandwidths considering the multivariate Dirac Discrete Uniform and the product of binomial kernels, and treating the bandwidths as a diagonal matrix ...
Smail Adjabi +2 more
exaly +2 more sources
ABSTRACTThis work treats non-parametric estimation of multivariate probability mass functions, using multivariate discrete associated kernels. We propose a Bayesian local approach to select the matrix of bandwidths considering the multivariate Dirac Discrete Uniform and the product of binomial kernels, and treating the bandwidths as a diagonal matrix ...
Smail Adjabi +2 more
exaly +2 more sources
Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator
Communications in Statistics - Theory and Methods, 2017We treat a non parametric estimator for joint probability mass function, based on multivariate discrete associated kernels which are appropriated for multivariate count data of small and moderate s...
Nawal Belaid +3 more
openaire +1 more source
Communications in Statistics - Simulation and Computation, 2020
Bayesian bandwidth selections in continuous associated kernel estimation of probability density function are very good alternatives to classical methods like cross-validation techniques.
openaire +1 more source
Bayesian bandwidth selections in continuous associated kernel estimation of probability density function are very good alternatives to classical methods like cross-validation techniques.
openaire +1 more source
Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d
Journal of Applied Statistics, 2022Celestin Kokonendji +1 more
exaly

