KERNEL DENSITY ESTIMATION FOR LINEAR PROCESSES WITH -WEAKLY DEPENDENT INNOVATIONS: ASYMPTOTIC NORMALITY
Author(s) -
Kaouthar El Fassi,
Lahcen Douge
Publication year - 2020
Publication title -
journal of statistics advances in theory and applications
Language(s) - English
Resource type - Journals
ISSN - 0975-1262
DOI - 10.18642/jsata_7100122082
Subject(s) - kernel density estimation , local asymptotic normality , asymptotic distribution , normality , mathematics , multivariate kernel density estimation , kernel (algebra) , estimation , density estimation , statistics , econometrics , variable kernel density estimation , computer science , kernel method , artificial intelligence , economics , estimator , discrete mathematics , support vector machine , management
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom