scholarly journals Nonparametric distribution estimation in the presence of familial correlation and censoring

2017 ◽  
Vol 11 (1) ◽  
pp. 1928-1948 ◽  
Author(s):  
Kun Xu ◽  
Yanyuan Ma ◽  
Yuanjia Wang
Keyword(s):  
Familial Correlation ◽  
Distribution Estimation ◽  
Nonparametric Distribution

Edgeworth expansions for nonparametric distribution estimation with applications

1997 ◽  
Vol 65 (2) ◽  
pp. 213-231 ◽  
Author(s):  
Pilar H. García-Soidán ◽  
Wenceslao González-Manteiga ◽  
JoséM. Prada-Sánchez
Keyword(s):  
Edgeworth Expansions ◽  
Distribution Estimation ◽  
Nonparametric Distribution

Probability distribution estimation for Web service QoS based on max entropy principle

2013 ◽  
Vol 32 (10) ◽  
pp. 2728-2731
Author(s):  
Zhi-hua DAI ◽  
Xiao-dong FU ◽  
Yuan HUANG ◽  
Nan JIA
Keyword(s):  
Probability Distribution ◽  
Web Service ◽  
Distribution Estimation ◽  
Entropy Principle

scholarly journals Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 27971-27986
Author(s):  
Shantam Shorewala ◽  
Armaan Ashfaque ◽  
R. Sidharth ◽  
Ujjwal Verma
Keyword(s):  
Supervised Learning ◽  
Precision Agriculture ◽  
Weed Density ◽  
Distribution Estimation

Phone Distribution Estimation for Low Resource Languages

2021 ◽  
Author(s):  
Xinjian Li ◽  
Juncheng Li ◽  
Jiali Yao ◽  
Alan W Black ◽  
Florian Metze
Keyword(s):  
Low Resource ◽  
Distribution Estimation

EDNAS: An Efficient Neural Architecture Design based on Distribution Estimation

2020 ◽  
Author(s):  
Zhenyao Zhao ◽  
Guang-en Zhang ◽  
Min Jiang ◽  
Liang Feng ◽  
Kay Chen Tan
Keyword(s):  
Architecture Design ◽  
Neural Architecture ◽  
Distribution Estimation

scholarly journals Asymptotic normality of conditional distribution estimation in the single index model

2017 ◽  
Vol 9 (1) ◽  
pp. 162-175
Author(s):  
Diaa Eddine Hamdaoui ◽  
Amina Angelika Bouchentouf ◽  
Abbes Rabhi ◽  
Toufik Guendouzi
Keyword(s):  
Distribution Function ◽  
Confidence Interval ◽  
Asymptotic Normality ◽  
Conditional Distribution ◽  
Conditional Distribution Function ◽  
Single Index ◽  
Index Model ◽  
Single Index Model ◽  
Distribution Estimation

AbstractThis paper deals with the estimation of conditional distribution function based on the single-index model. The asymptotic normality of the conditional distribution estimator is established. Moreover, as an application, the asymptotic (1 − γ) confidence interval of the conditional distribution function is given for 0 < γ < 1.

scholarly journals Adaptive Probability Distribution Estimation Based upon Maximum Entropy

1984 ◽  
Vol R-33 (4) ◽  
pp. 353-357 ◽  
Author(s):  
James E. Miller ◽  
Richard W. Kulp ◽  
George E. Orr
Keyword(s):  
Probability Distribution ◽  
Maximum Entropy ◽  
Distribution Estimation
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