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: ''Not to be confused with [[Kernel principal component analysis]].''
The '''kernel regression''' is a [[non-parametric]] technique in statistics to estimate the [[conditional expectation]] of a [[random variable]]. The objective is to find a non-linear relation between a pair of random variables '''''X''''' and '''''Y'''''.
 
In any [[nonparametric regression]], the [[conditional expectation]] of a variable <math>Y</math> relative to a variable <math>X</math> may be written:
 
<math>\operatorname{E}(Y | X) = m(X)</math>
 
where <math>m</math> is an unknown function.
 
== Nadaraya-Watson kernel regression ==
{{harvnb|Nadaraya|1964}} and {{harvnb|Watson|1964}} proposed to estimate <math>m</math> as a locally weighted average, using a [[kernel (statistics)|kernel]] as a weighting function. The Nadaraya-Watson estimator is:
 
<math> \widehat{m}_h(x)=\frac{\sum_{i=1}^n K_h(x-X_i) Y_i}{\sum_{i=1}^nK_h(x-X_i)} 
</math>
 
where <math>K</math> is a kernel with a bandwidth <math>h</math>. The fraction is a weighting term with sum 1.
 
=== Derivation ===
<math>
\operatorname{E}(Y | X) = \int y f(y|x) dy = \int y \frac{f(x,y)}{f(x)} dy
</math>
 
Using the [[kernel density estimation]] for the joint distribution ''f(x,y)'' and ''f(x)'' with a kernel '''''K''''',
 
<math>
\hat{f}(x,y) = n^{-1} h^{-2} \sum_{i=1}^{n} K\left(\frac{x-x_i}{h}\right) K\left(\frac{y-y_i}{h}\right)
</math>,<br />
<math>
\hat{f}(x) = n^{-1} h^{-1} \sum_{i=1}^{n} K\left(\frac{x-x_i}{h}\right)
</math>
 
we obtain the Nadaraya-Watson estimator.
 
== Priestley-Chao kernel estimator ==
<math>
\widehat{m}_{PC}(x) = h^{-1} \sum_{i=1}^n (x_i - x_{i-1}) K\left(\frac{x-x_i}{h}\right) y_i
</math>
 
== Gasser-Müller kernel estimator ==
<math>
\widehat{m}_{GM}(x) = h^{-1} \sum_{i=1}^n \left[\int_{s_{i-1}}^{s_i} K\left(\frac{x-u}{h}\right) du\right] y_i
</math>
 
where <math>s_i = \frac{x_{i-1} + x_i}{2}</math>
 
== Example ==
 
This example is based upon Canadian cross-section wage data consisting
of a random sample taken from the 1971 Canadian Census Public Use
Tapes for male individuals having common education (grade 13). There
are 205 observations in total.
 
We consider estimating the unknown regression function using
Nadaraya-Watson kernel regression via the
[http://cran.r-project.org/web/packages/np/index.html R np package]
that uses automatic (data-driven) bandwidth selection; see the [http://cran.r-project.org/web/packages/np/vignettes/np.pdf np vignette] for an introduction to the np package.
 
The figure below shows the estimated regression function using a
second order Gaussian kernel along with asymptotic variability bounds
 
[[File:cps71 lc mean.png|center|360px]]
<center>Estimated Regression Function.</center>
 
=== Script for example ===
 
The following commands of the [[R programming language]] use the
<tt>npreg()</tt> function to deliver optimal smoothing and to create
the figure given above. These commands can be entered at the command
prompt via cut and paste.
 
library(np) # non parametric library
data(cps71)
attach(cps71)
m <- npreg(logwage~age)
plot(m,plot.errors.method="asymptotic",
      plot.errors.style="band",
      ylim=c(11,15.2))
points(age,logwage,cex=.25)
 
== Related ==
According to {{harvnb|Salsburg|2002|pp=290–1}}, the algorithms used in kernel regression were independently developed and used in [[fuzzy system]]s: "Coming up with almost exactly the same computer algorithm, fuzzy systems and kernel density-based regressions appear to have been developed completely independently of one another."
 
== References ==
 
{{Reflist}}
 
*{{cite journal
  | last = Nadaraya
  | first = E. A.
  | title = On Estimating Regression
  | journal = Theory of Probability and its Applications
  | volume = 9
  | issue = 1
  | pages = 141–2
  | year = 1964
  | doi = 10.1137/1109020 | ref=harv
  }}
 
*{{cite book
  | last = Li
  | first = Qi
  | coauthors = Racine, Jeffrey S.
  | title = Nonparametric Econometrics: Theory and Practice
  | publisher = Princeton University Press
  | year = 2007
  | isbn =  0-691-12161-3}}
 
*{{cite book
  | last = Simonoff
  | first = Jeffrey S.
  | title = Smoothing Methods in Statistics
  | publisher = Springer
  | year = 1996
  | isbn = 0-387-94716-7}}
 
*{{cite book |last=Salsburg |first=D. |title=The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century |publisher=W.H. Freeman |year=2002 |isbn=0-8050-7134-2 |ref=harv}}
 
*{{cite journal |author=Richard, C.; Bermudez, J.-C. M.; Honeine, P. |title=Online prediction of time series data with kernels |journal=IEEE Transactions on Signal Processing |volume=57 |issue=3 |pages=1058–67 |date=March 2009 |doi=10.1109/TSP.2008.2009895 |url=http://www.cedric-richard.fr/Articles/richard2009online.pdf|format=PDF}}
 
*{{cite journal |author=Parreira, W.; Bermudez, J.-C. M.; Richard, C.; Tourneret, J.-Y. |title=Stochastic behavior analysis of the Gaussian kernel-least-mean-square algorithm. |journal=IEEE Transactions on Signal Processing |volume=60 |issue=5 |pages=2208–2222 |date=May 2012 |doi=10.1109/TSP.2012.2186132 |url=http://www.cedric-richard.fr/Articles/parreira2012stochastic.pdf|format=PDF}}
 
*{{cite journal |author=Richard, C.; Bermudez, J.-C. M. |title=Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm. |journal=Proc. of Asilomar'12 |pages=1797–1801 |date=November 2012 |doi=10.1109/ACSSC.2012.6489344 |url=http://www.cedric-richard.fr/Articles/richard2012closed.pdf|format=PDF}}
 
*{{cite journal |first=G. S. |last=Watson |authorlink=Geoffrey Watson |title=Smooth regression analysis |journal=Sankhyā: The Indian Journal of Statistics, Series A |volume=26 |issue=4 |pages=359–372 |year=1964 |jstor=25049340 |ref=harv}}
 
==Statistical implementation==
* [[Stata]] [http://ideas.repec.org/c/boc/bocode/s372601.html kernreg2]
<pre> kernreg2 y x, bwidth(.5) kercode(3) npoint(500) gen(kernelprediction gridofpoints)</pre>
* [[R (programming language)|R]]: [http://cran.r-project.org/web/packages/np/index.html npreg  (package ''np'')]
* [[GNU Octave|GNU/octave]] mathematical program package:
 
==External links==
* [http://www.cs.tut.fi/~lasip Scale-adaptive kernel regression] (with Matlab software).
* [http://people.revoledu.com/kardi/tutorial/Regression/KernelRegression/index.html Tutorial of Kernel regression using spreadsheet] (with Microsoft Excel).
* [http://pcarvalho.com/things/kernelregressor/ An online kernel regression demonstration]  Requires .NET 3.0 or later.
* [http://cran.r-project.org/web/packages/np/index.html The np package] An [[R (programming language)|R]] package that provides a variety of nonparametric and semiparametric kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types.
 
[[Category:Non-parametric statistics]]

Latest revision as of 04:32, 27 June 2013

Not to be confused with Kernel principal component analysis.

The kernel regression is a non-parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y.

In any nonparametric regression, the conditional expectation of a variable Y relative to a variable X may be written:

E(Y|X)=m(X)

where m is an unknown function.

Nadaraya-Watson kernel regression

Template:Harvnb and Template:Harvnb proposed to estimate m as a locally weighted average, using a kernel as a weighting function. The Nadaraya-Watson estimator is:

m^h(x)=i=1nKh(xXi)Yii=1nKh(xXi)

where K is a kernel with a bandwidth h. The fraction is a weighting term with sum 1.

Derivation

E(Y|X)=yf(y|x)dy=yf(x,y)f(x)dy

Using the kernel density estimation for the joint distribution f(x,y) and f(x) with a kernel K,

f^(x,y)=n1h2i=1nK(xxih)K(yyih),
f^(x)=n1h1i=1nK(xxih)

we obtain the Nadaraya-Watson estimator.

Priestley-Chao kernel estimator

m^PC(x)=h1i=1n(xixi1)K(xxih)yi

Gasser-Müller kernel estimator

m^GM(x)=h1i=1n[si1siK(xuh)du]yi

where si=xi1+xi2

Example

This example is based upon Canadian cross-section wage data consisting of a random sample taken from the 1971 Canadian Census Public Use Tapes for male individuals having common education (grade 13). There are 205 observations in total.

We consider estimating the unknown regression function using Nadaraya-Watson kernel regression via the R np package that uses automatic (data-driven) bandwidth selection; see the np vignette for an introduction to the np package.

The figure below shows the estimated regression function using a second order Gaussian kernel along with asymptotic variability bounds

Estimated Regression Function.

Script for example

The following commands of the R programming language use the npreg() function to deliver optimal smoothing and to create the figure given above. These commands can be entered at the command prompt via cut and paste.

library(np) # non parametric library
data(cps71)
attach(cps71)

m <- npreg(logwage~age)

plot(m,plot.errors.method="asymptotic",
     plot.errors.style="band",
     ylim=c(11,15.2))

points(age,logwage,cex=.25)

Related

According to Template:Harvnb, the algorithms used in kernel regression were independently developed and used in fuzzy systems: "Coming up with almost exactly the same computer algorithm, fuzzy systems and kernel density-based regressions appear to have been developed completely independently of one another."

References

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    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

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    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

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  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

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    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

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  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang

Statistical implementation

 kernreg2 y x, bwidth(.5) kercode(3) npoint(500) gen(kernelprediction gridofpoints)

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