Keywords: 62G05; 62E20; 62J02; Partial linear varying coefficient models; Rank regression; Selection consistency; Oracle property; Robustness and efficiency;
مقالات ISI (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: 62H12; 62J02; Panel count data; Joint frailty model; Variable selection; Quantile regression;
Keywords: 41A17; 68T05; 62J02; Coefficient-based regularized regression; Indefinite kernel; Moment hypothesis; Stepping stone function; Learning rate;
Bayesian inference for higher-order ordinary differential equation models
Keywords: 62J02; 62G08; 62G20; 62F12; 62F15; Bayesian inference; Bernstein-von Mises theorem; Higher order ordinary differential equation; Runge-Kutta method; Spline smoothing;
A new minimum contrast approach for inference in single-index models
Keywords: 62G08; 62G20; 62J02; 62F12; Conditional law; Kernel smoothing; Semiparametric regression; Single-index assumption; U-statistics;
Parametrizations, fixed and random effects
Keywords: 62G05; 62J02; 62G08; General linear model; Fixed effect; Random effect; Cubic spline; Smoothing parameter; Likelihood; Climate change detection;
Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models
Keywords: primary; 62G08; secondary; 62J02; Varying coefficient partially linear model; Profile forward regression; Variable screening; Screening consistency property; Ultra-high dimension; EBIC;
Keywords: 68T05; 62J02; Moving least square regression; Regularization; Reproducing kernel Hilbert space; Error bounds; Learning rate;
Keywords: 60G60; 60G17; 62J02; Covariance kernels; Linear operators; RKHS; Structural priors;
Keywords: 62J02; 62F10; 62F12; EM algorithm; Nonlinear regression models; Skew-normal distribution; Skew scale mixtures of normal distributions;
Keywords: 62G05; 62E20; 62J02; Partial linear varying coefficient models; Three kinds of selections; Selection consistency; Oracle property; Robustness and efficiency;
Keywords: 62F15; 62J02; Agresti-Coull interval; Generalized confidence interval; Wald confidence interval; Wilson score interval;
Keywords: 62J02; 62J07; 62F12Nonlinear regression; High-dimensional data; Single index model; Sparsity; Regularization
Keywords: C13; C32; C33; C53; G22; 60G10; 60G25; 60J20; 62H10; 62H20; 62J02; 62P05; IM10; IM11; IM20; IM40; Claims reserving; Reserve distribution; Dependency modeling; Copula; Conditional least squares;
Keywords: 62F15; 62J02; 62H12; Functional constraints; Hierarchical priors; Posterior distribution; Predictive distribution; Rectangle screened multivariate normal distribution;
Keywords: 62J02; 62F12; Canonical correlation analysis; Elastic net penalty; Elliptical distribution; Kendall's tau; Optimal rate of convergence; Variables transformation;
Efficiency for heteroscedastic regression with responses missing at random
Keywords: 62G05; 62G08; 62G20; 62J02; Efficiency transfer; Partially linear; Random coefficient; Semiparametric regression; Single index; Transfer principle;
Kernel-based sparse regression with the correntropy-induced loss
Keywords: 68T05; 62J02; Learning theory; Kernel-based regression; Correntropy-induced loss; Sparsity; Learning rate;
Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution
Keywords: 62F10; 62J02; Birnbaum-Saunders distribution; ECME algorithm; GIG distribution; Nonlinear regression;
Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements
Keywords: 62F15; 62J02; 62J12Autocorrelated errors; Generalized linear models; Joint modelling; Longitudinal data; MCMC methods; Nonlinear mixed-effects model
Optimal convergence rates of high order Parzen windows with unbounded sampling
Keywords: 62J02; 68T05; Statistical learning theory; Parzen windows; Unbounded sampling; Convergence rate;
Large deviation for a least squares estimator in a nonlinear regression model
Keywords: 62J02; 62F12Large deviation; Least squares estimator; Nonlinear regression model; ρ̃-mixing random variables; AANA random variables
Entropic kernels for data smoothing
Keywords: 62J02; 62F05; 94A17; Bandwidth; Data smoothing; Kernel regression; Locational entropy; Subjective probabilities;
A frailty model for interaction between multiple events
Keywords: 62H20; 62J02; 62P10Categorical data; Frailty model; Human papillomavirus virus; Multiple events interaction
Score tests in the presence of errors in covariates in matched case-control studies
Keywords: 62F03; 62J02; 62P10; Asymptotic normality; Central limit theorem; Colon cancer; Conditional logistic regression; Score tests; Surrogate measure;
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates
Keywords: 62J02; 62J12; 62P10; Generalized linear mixed models; Nonlinear mixed effects models; Hierarchical likelihood; Missing covariates; Measurement errors;
Bayesian nonlinear regression for large pp small nn problems
Keywords: 62J02; 62M20; 62H99; 62G08; 62F15Bayesian hierarchical model; Empirical Bayes; Gibbs sampling; Markov chain Monte Carlo; Metropolis–Hastings algorithm; Near infrared spectroscopy; Relevance vector machine; Reproducing kernel Hilbert space; Support vector
Asymptotic behaviour of the LS estimator in a nonlinear model with long memory
Keywords: 62J02; 62F12; 62F03; 62M10; Nonlinear model; Long memory; Least squares estimator; Asymptotic properties;
On spline regression under Gaussian subordination with long memory
Keywords: 62M10; 62F12; 62J02; 62P10; 62M09Long-range dependence; Hermite rank; Gaussian subordination; Spline regression; Two-phase regression; Change point
Learning rates of multi-kernel regularized regression
Keywords: Learning rate; Reproducing kernel Hilbert spaces; Multi-kernel regularization; Rademacher chaos complexity68T05; 62J02
Statistical inference of minimum BD estimators and classifiers for varying-dimensional models
Keywords: primary; 62F12; 62F05; secondary; 62J02; 60J12; A diverging number of parameters; Exponential family; Hemodynamic response function; Loss function; Optimal Bayes rule;
Least-square regularized regression with non-iid sampling
Keywords: 68T05; 62J02; Least-square regularized regression; Sampling with non-identical distributions; Strong mixing condition; Reproducing kernel Hilbert space;
Nonlinear weighted least squares estimation of a three-parameter Weibull density with a nonparametric start
Keywords: 65D10; 62J02; 62G07; 62N05Three-parameter Weibull density; Data fitting; Nonlinear least squares; Least squares estimate; Existence problem
Application of gradient descent method to the sedimentary grain-size distribution fitting
Keywords: 65D10; 62J02; 90C31; 62P12; 93E24Nonlinear least squares data fitting; Gradient descent; Mixture distribution of three lognormal components; Laser grain-size; Existence theorem
Collapsibility of regression coefficients and its extensions
Keywords: primary; 62J05; secondary; 62J02; 62J12; A-collapsibility; CG-distribution; Conditional independence; Collapsibility; Generalized linear model; Linear regression; Logistic regression coefficients; Poisson regression coefficients; Random coefficient regres
Regression with strongly correlated data
Keywords: 46N30; 62J02; 62J05; 62J10Regression; Least squares; Highly correlated errors; Peelle’s pertinent puzzle; Infill asymptotics
Optimal designs in random coefficient cubic regression models
Keywords: Primary; 62K05; secondary; 62J02; 62J10; Third degree regression model; Random coefficients; Asymmetric experimental domains; D-optimal designs;
Total least squares fitting Michaelis–Menten enzyme kinetic model function
Keywords: 65D10; 65C20; 62J02; 92C45Michaelis–Menten model; Total least squares; Total least squares estimate; Existence problem
On the conic section fitting problem
Keywords: 62H35; 62F12; 62J02; 62J10; 62P12; 62P30; Adjusted least squares; Conic fitting; Consistent estimator; Ellipsoid fitting; Quadratic measurement error model;
Pointwise convergence of Fourier regularization for smoothing data
Keywords: 65R10; 62J02; Mean integrated squared error; Mean squared error; Smoothing data; Fourier regularization; Generalized cross validation;
Robust Poisson regression
Keywords: 62J02; 62G35Robust profile likelihood; Poisson regression; Quasilikelihood; Robust Poisson regression; Likelihood ratio test
Normalizing unbiased estimating functions
Keywords: 62E20; 62F25; 62F40; 62H20; 62J02; Bootstrap; Confidence interval; Edgeworth expansion; Second-order accuracy; Nonlinear regression; Normalizing transformation; z-transformation;
Designs in nonlinear regression by stochastic minimization of functionals of the mean square error matrix
Keywords: 62K05; 62J02; 62L20A- and D-optimality; Distribution of estimators; Mean square error; Nonlinear least squares; Method of stochastic optimization
The probability to select the correct model using likelihood-ratio based criteria in choosing between two nested models of which the more extended one is true
Keywords: 62J02; 62F07; 62B10; AIC; BIC; Kullback-Leibler divergence; Noncentral Chi-square; Power;
Ergodicity and existence of moments for local mixtures of linear autoregressions
Keywords: 62M10; 62J02; Nonlinear time series; Autoregressions; Mixture models; Markov chains; Geometric ergodic; Uniformly geometric ergodic; Invariant measure;
Goodness-of-fit testing in regression: A finite sample comparison of bootstrap methodology and Khmaladze transformation
Keywords: 62G10; 62J02; Secondary 62G09; Naive and smooth bootstrap; Martingale transform; Level; Power;
Model selection criteria based on Kullback information measures for nonlinear regression
Keywords: 62J02; 62F07; 62B10; AIC; Akaike information criterion; I-divergence; J-divergence; Kullback-Leibler information; Nonlinear regression;
Item response theory for longitudinal data: population parameter estimation
Keywords: 62F10; 62H05; 62J02; Longitudinal data; Population parameters; Logistic model; Covariance structures; Multivariate latent distribution;