Results 21 to 30 of about 67,030 (311)
Media Statistika, 2008 If X is predictor variable and Y is response variable of following model Y = f (X) +e with function f is regression which not yet been known and e is independent random variable with mean 0 and variant , hence function of f can estimate with parametric ...
Suparti Suparti +2 more
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Nonparametric Estimation of the Interval Reliability [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 The interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time.
Angel Mathew, N. Balakrishna
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On Nonparametric Hazard Estimation [PDF]
Journal of Biometrics & Biostatistics, 2015 The Nelson-Aalen estimator provides the basis for the ubiquitous Kaplan-Meier estimator, and therefore is an essential tool for nonparametric survival analysis. This article reviews martingale theory and its role in demonstrating that the Nelson-Aalen estimator is uniformly consistent for estimating the cumulative hazard function for right-censored ...
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Nonparametric ridge estimation
The Annals of Statistics, 2014 Published in at http://dx.doi.org/10.1214/14-AOS1218 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Genovese Christopher R. +3 more
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Nonparametric IV estimation of shape-invariant Engel curves [PDF]
, 2003 This paper concerns the identification and estimation of a shape-invariant Engel curve system with endogenous total expenditure. The shape-invariant specification involves a common shift parameter for each demographic group in a pooled system of Engel
Richard Blundell +8 more
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Partition Learning for Multiagent Planning
Journal of Robotics, 2012 Automated surveillance of large geographic areas and target tracking by a team of autonomous agents is a topic that has received significant research and development effort. The standard approach is to decompose this problem into two steps.
Jared Wood, J. Karl Hedrick
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Journal of Statistical Software, 2014 Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
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Stats, 2023 To address the difficult problem of the multi-step-ahead prediction of nonparametric autoregressions, we consider a forward bootstrap approach. Employing a local constant estimator, we can analyze a general type of nonparametric time-series model and ...
Dimitris N. Politis, Kejin Wu
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Estimation and Inference for Spatio-Temporal Single-Index Models
Mathematics, 2023 To better fit the actual data, this paper will consider both spatio-temporal correlation and heterogeneity to build the model. In order to overcome the “curse of dimensionality” problem in the nonparametric method, we improve the estimation method of the
Hongxia Wang +3 more
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Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information
Entropy, 2021 Finite-sample bounds on the accuracy of Bhattacharya’s plug-in estimator for Fisher information are derived. These bounds are further improved by introducing a clipping step that allows for better control over the score function.
Wei Cao +3 more
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