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Rainer Nixdorf

dblp:94/5415 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 67% Information theory · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › statistical estimation › regression
nonparametric regression
0.011987
Nonparametric sequential estimation of zeros and extrema of regression functions · IEEE Trans. Inf. Theory 1987
Information theory › estimation theory
sequential estimation
0.011987
Nonparametric sequential estimation of zeros and extrema of regression functions · IEEE Trans. Inf. Theory 1987
Mathematical optimization › stochastic optimization
stochastic approximation
0.011987
Nonparametric sequential estimation of zeros and extrema of regression functions · IEEE Trans. Inf. Theory 1987

Methods — techniques the papers use, named apart from their topics

stochastic approximation · 0.0
YearPublicationVenuePosition
1987 Nonparametric sequential estimation of zeros and extrema of regression functions
abstract
Let(X,Y), (X_{l}, Y_{l}), (X_{2}, Y_{2}), \cdotsbe independent identically distributed pairs of random variables, and letm(x)=E(Y|X = x)be the regression curve ofYonX. The estimation of zeros and extrema of the regression curve via stochastic approximation methods is considered. Consistency results of some sequential procedures are presented and termination rules are defined providing fixed width confidence intervals for the parameters to be estimated.
Wolfgang K. Härdle, Rainer Nixdorf
IEEE Trans. Inf. Theory2