ON ASYMPTOTIC NORMALITY OF THE KERNEL ESTIMATOR FOR NEGATIVELY DEPENDENT RANDOM VARIABLES

In this paper, we establish the asymptotic normality of the kernel estimator for negatively dependent random variables. The kernel estimator has been widely applied for independent data. However, in practice, the data are most often dependent.

Authors

Publication Details

Journal
Far East Journal of Theoretical Statistics
Published
2024-10-17
DOI
https://doi.org/10.17654/0972086324020
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ON ASYMPTOTIC NORMALITY OF THE KERNEL ESTIMATOR FOR NEGATIVELY DEPENDENT RANDOM VARIABLES

Amadou Gning, Mouhamed Mar, Saliou Diouf
Far East Journal of Theoretical Statistics
Probability and Risk Models
article

ON ASYMPTOTIC NORMALITY OF THE KERNEL ESTIMATOR FOR NEGATIVELY DEPENDENT RANDOM VARIABLES

Amadou Gning, Mouhamed Mar, Saliou Diouf
article en

Abstract

In this paper, we establish the asymptotic normality of the kernel estimator for negatively dependent random variables. The kernel estimator has been widely applied for independent data. However, in practice, the data are most often dependent.

Far East Journal of Theoretical StatisticsVol. 68(2)
Openalex Percentile: Top 78%
Probability and Risk Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ON ASYMPTOTIC NORMALITY OF THE KERNEL ESTIMATOR FOR NEGATIVELY DEPENDENT RANDOM VARIABLES — Amadou Gning, Mouhamed Mar, et al. · Far East Journal of Theoretical Statistics (2024) | TGRS Research Map | TGRS