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Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation
Prediction, in regression and classification, is one of the main aims in modern data science. When the number of predictors is large, a common first...
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Nonparametric maximum likelihood estimation of the distribution function using ranked-set sampling
Kvam and Samaniego (J Am Stat Assoc 89: 526–537, 1994) derived an estimator that they billed as the nonparametric maximum likelihood estimator (MLE)...
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Nonparametric Entropy Estimation of Conditional Distribution Under Length-Biased Right Censored Sample
This article presents a nonparametric integral estimator for Shannon differential entropy of conditional distribution under length-biased sampling in...
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Nonparametric Conditional Risk Map** Under Heteroscedasticity
A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is...
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An Algorithm of Nonparametric Quantile Regression
Extreme events, such as earthquakes, tsunamis, and market crashes, can have substantial impact on social and ecological systems. Quantile regression...
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Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error
Population size estimation is an important research field in biological sciences. In practice, covariates are often measured upon capture on...
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A nonparametric instrumental approach to confounding in competing risks models
This paper discusses nonparametric identification and estimation of the causal effect of a treatment in the presence of confounding, competing risks...
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Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation
Shape, as an intrinsic concept, can be considered as a source of information in some statistical analysis contexts. For instance, one of the...
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Bayesian modeling via discrete nonparametric priors
The availability of complex-structured data has sparked new research directions in statistics and machine learning. Bayesian nonparametrics is at the...
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Nonparametric tests for semiparametric regression models
Semiparametric regression models have received considerable attention over the last decades, because of their flexibility and their good finite...
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Comparing Treatment Effects for the AB : BA Crossover Design with Continuous Responses: An Alternative Nonparametric Approach
This work focuses on the nonparametric procedures which are devised as an alternative to analyse the repeated measurements arising in the basic...
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Nonparametric estimation of the shape functions and related asymptotic results
Arriaza et al (Metrika 82:99–124, 2019) introduced the right and left shape functions, which enjoy interesting properties in terms of describing the...
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A weighted average limited information maximum likelihood estimator
In this article, a Stein-type weighted limited information maximum likelihood (LIML) estimator is proposed. It is based on a weighted average of the...
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A unifying framework for rank and pseudo-rank based inference using nonparametric confidence distributions
Nonparametric confidence distributions estimate statistical functionals by a distribution function on the parameter space, instead of the classical...
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Nonparametric inference in the accelerated failure time model using restricted means
We propose a nonparametric estimate of the scale-change parameter for characterizing the difference between two survival functions under the...
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Influence measures in nonparametric regression model with symmetric random errors
In this paper we present several diagnostic measures for the class of nonparametric regression models with symmetric random errors, which includes...
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Improving kernel-based nonparametric regression for circular–linear data
We discuss kernel-based nonparametric regression where a predictor has support on a circle and a responder has support on a real line. Nonparametric...
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Nonparametric tests for multistate processes with clustered data
In this work, we propose nonparametric two-sample tests for population-averaged transition and state occupation probabilities for continuous-time and...
