Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Search by expertise, name or affiliation
A crossvalidation method for estimating conditional densities
Jianqing Fan
, Tsz Ho Yim
Research output
:
Contribution to journal
›
Article
›
peer-review
88
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A crossvalidation method for estimating conditional densities'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Bandwidth Selection
39%
Bootstrap Method
17%
Choose
13%
Conditional Density
76%
Conditional Distribution
15%
Cover
11%
Cross-validation
70%
Density Function
29%
Distribution Function
13%
Integrated Squared Error
23%
kernel
10%
Local Linear Regression
22%
Optimise
16%
Performance
9%
Selection Rules
39%
Simulation Study
11%
Smoothing Parameter
18%
Transition Density
19%
Value at Risk
20%
Business & Economics
Ad Hoc
15%
Bandwidth
35%
Bootstrap Method
19%
Conditional Distribution
18%
Cross-validation
100%
Density Function
39%
Distribution Function
17%
Integrated
9%
Kernel
18%
Linear Regression
16%
Performance
5%
Simulation Study
14%
Smoothing
16%
Treasury Bill
19%
Value at Risk
33%
Engineering & Materials Science
Bandwidth
39%
Distribution functions
32%
Linear regression
31%
Probability density function
60%
Agriculture & Biology
methodology
16%
seeds
8%
selection methods
18%
Medicine & Life Sciences
Linear Models
9%