The following pages link to Lanh Tat Tran (Q220907):
Displaying 50 items.
- Nonparametric function estimation for time series by local average estimators (Q688404) (← links)
- Recursive kernel density estimators under a weak dependence condition (Q756326) (← links)
- The Hausdorff \(\alpha\)-dimensional measures of the level sets and the graph of the N-parameter Wiener process (Q760971) (← links)
- Kernel regression estimation for random fields (Q866620) (← links)
- Kernel density estimation on random fields (Q921787) (← links)
- Nonparametric estimation of conditional expectation (Q958769) (← links)
- Hazard rate estimation on random fields (Q996977) (← links)
- Asymptotic normality of frequency polygons for random fields (Q1039489) (← links)
- Some mixing properties of time series models (Q1058250) (← links)
- (Q1125542) (redirect page) (← links)
- Density estimation for nonisotropic random fields (Q1125544) (← links)
- Local maxima of the sample functions of the n-parameter Bessel process (Q1136423) (← links)
- Empirical distribution functions and functions of order statistics for mixing random variables (Q1155315) (← links)
- Fixed design regression for time series: Asymptotic normality (Q1185836) (← links)
- Asymptotic normality of the recursive kernel regression estimate under dependence conditions (Q1192960) (← links)
- Nearest neighbor estimators for random fields (Q1209604) (← links)
- The Hausdorff dimension of the range of the N-parameter Wiener process (Q1241929) (← links)
- The range of Levy's n-parameter Brownian motion in d-space (Q1254057) (← links)
- Local sample path properties of Gaussian fields (Q1255255) (← links)
- Kernel estimation of the survival function and hazard rate under weak dependence (Q1262045) (← links)
- Rank statistics for serial dependence (Q1262061) (← links)
- Density estimation for time series by histograms (Q1330219) (← links)
- Order statistics for nonstationary time series (Q1335371) (← links)
- Kernel density estimation for linear processes: Asymptotic normality and optimal bandwidth derivation (Q1359395) (← links)
- Frequency polygons for weakly dependent processes (Q1380558) (← links)
- Kernel density estimation for random fields. (Density estimation for random fields) (Q1382233) (← links)
- Kernel density estimation for spatial processes: The \(L_{1}\) theory (Q1421857) (← links)
- Kernel density estimation under dependence (Q1813323) (← links)
- Rank order statistics for time series models (Q1824331) (← links)
- On histograms for linear processes (Q1923431) (← links)
- Local linear spatial regression (Q2388333) (← links)
- On the convergence rate of fixed design regression estimators for negatively associated random variables (Q2643031) (← links)
- (Q3319614) (← links)
- Joint asymptotic normality of kernel estimates under dependence conditions, with application to hazard rate (Q3432320) (← links)
- Fixed design regression for negatively associated random fields (Q3619663) (← links)
- (Q3707133) (← links)
- (Q3868536) (← links)
- On the first-order bilinear time series model (Q3918953) (← links)
- Estimating Parameters from Mixed Samples (Q3945379) (← links)
- (Q3973915) (← links)
- On multivariate variable-kernel density estimates for time series (Q3993626) (← links)
- NONPARAMETRIC TESTS FOR SERIAL DEPENDENCE (Q4012959) (← links)
- Unbounded local times (Q4045431) (← links)
- Local Maxima of the Sample Functions of the Two-Parameter Wiener Process (Q4070072) (← links)
- On a problem posed by Orey and Pruitt related to the range of the N-parameter wiener process in R d (Q4094210) (← links)
- Analysis 3: Who made the call? Classification based on logistic regression and trees (Q4207483) (← links)
- Kernel density estimation for random fields: The<i>L</i><sub>1</sub>Theory (Q4345893) (← links)
- Recursive density estimation under dependence (Q4733242) (← links)
- Nonparametric estimation of density, regression and dependence coefficients (Q4806546) (← links)
- (Q4891983) (← links)
