Results 241 to 250 of about 281,081 (285)

Land Use Policy and Racial Segregation

International Studies of Economics, EarlyView.
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley   +1 more source

Inference on function-valued parameters using a restricted score test. [PDF]

J R Stat Soc Series B Stat Methodol
Hudson A, Carone M, Shojaie A.
europepmc   +1 more source

Causal K-Means Clustering. [PDF]

J R Stat Soc Series B Stat Methodol
Kim K, Kim J, Kennedy EH.
europepmc   +1 more source

Most Neuroscience Data Is Not Normally Distributed: Analyzing Your Data in a Non-normal World. [PDF]

eNeuro
Malek-Ahmadi M, Reed AM, Guan DX.
europepmc   +1 more source

Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study

Journal of Statistical Software, 2001
Theofanis Sapatinas, Jérémie Bigot, Anestis Antoniadis   +2 more
doaj  

Monotone Nonparametric Regression

Annals of Statistics, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

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Quantization for Nonparametric Regression

IEEE Transactions on Information Theory, 2008
The authors discuss quantization or clustering of nonparametric regression estimates. The main tools developed are oracle inequalities for the rate of convergence of constrained least squares estimates. These inequalities yield fast rates for both nonparametric (unconstrained) least squares regression and clustering of partition regression estimates ...
László Györfi, Marten H. Wegkamp
openaire   +1 more source

A nonparametric regression method

Nonlinear Analysis: Theory, Methods & Applications, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, M. L., Brill, P. H.
openaire   +2 more sources

Robot learning by nonparametric regression

Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94), 1995
We present an approach to robot learning based on a nonparametric regression technique, locally weighted regression. The model of the task to be performed is represented by infinitely many local linear models, i.e., the (hyper-) tangent planes at every query point. Such a model, however, is only generated when a query performed and is not retained. The
Stefan Schaal, Christopher G. Atkeson
openaire   +1 more source