Add to ORKGNonlinear regression model with continuous time and weak dependent or long-range dependent stationary noise is considered. Strong consistency suffient conditions of M-estimates of regression parameters are obtained
AbstractWe consider the problem of estimation of the parameters in Generalized Linear Models (GLM) w...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...
The difference equations ξk = af(ξk-1) + εk, where (εk) is a square integrable difference martingale...
2000 Mathematics Subject Classification: Primary: 62M10, 62J02, 62F12, 62M05, 62P05, 62P10; secondar...
summary:Real valued $M$-estimators $\hat{\theta }_n:=\min \sum _1^n\rho (Y_i-\tau (\theta ))$ in a s...
summary:Real valued $M$-estimators $\hat{\theta }_n:=\min \sum _1^n\rho (Y_i-\tau (\theta ))$ in a s...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136540/1/biom12566.pdfhttps://deepblue...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
A new mathematical model of the s-order Markov chain with conditional memory depth is proposed. Maxi...
International audienceRegression models based on RKHS methods are used to estimate the regression fu...
summary:Dispersion of measurement results is an important parameter that enables us not only to char...
summary:Dispersion of measurement results is an important parameter that enables us not only to char...
We study a linear index binary response model with random coefficients BB allowed to be correlated w...
AbstractWe consider the problem of estimation of the parameters in Generalized Linear Models (GLM) w...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...
The difference equations ξk = af(ξk-1) + εk, where (εk) is a square integrable difference martingale...
2000 Mathematics Subject Classification: Primary: 62M10, 62J02, 62F12, 62M05, 62P05, 62P10; secondar...
summary:Real valued $M$-estimators $\hat{\theta }_n:=\min \sum _1^n\rho (Y_i-\tau (\theta ))$ in a s...
summary:Real valued $M$-estimators $\hat{\theta }_n:=\min \sum _1^n\rho (Y_i-\tau (\theta ))$ in a s...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136540/1/biom12566.pdfhttps://deepblue...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
A new mathematical model of the s-order Markov chain with conditional memory depth is proposed. Maxi...
International audienceRegression models based on RKHS methods are used to estimate the regression fu...
summary:Dispersion of measurement results is an important parameter that enables us not only to char...
summary:Dispersion of measurement results is an important parameter that enables us not only to char...
We study a linear index binary response model with random coefficients BB allowed to be correlated w...
AbstractWe consider the problem of estimation of the parameters in Generalized Linear Models (GLM) w...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...
summary:Nowadays, the algorithm most frequently used for determination of the estimators of paramete...