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Modeling insurance claims using Bayesian nonparametric regression. [PDF]
Predicting future insurance claims using observed covariates is essential for actuaries in setting appropriate insurance premiums. For this purpose, actuaries commonly employ parametric regression models, which assume the same functional form tying the ...
Mostafa Shams, Kaushik Ghosh
doaj +3 more sources
Nonparametric Regression via StatLSSVM [PDF]
We present a new MATLAB toolbox under Windows and Linux for nonparametric regression estimation based on the statistical library for least squares support vector machines (StatLSSVM).
Kris De Brabanter +2 more
doaj +5 more sources
Nonparametric LAD Cointegrating Regression [PDF]
We deal with nonparametric estimation in a nonlinear cointegration model whose regressor and dependent variable can be contemporaneously correlated. The asymptotic properties of the Nadaraya-Watson estimator are already examined in the literature.
Toshio Honda
core +2 more sources
Nonparametric regression estimation using multivariable truncated splines for binary response data [PDF]
In recent years, Truncated Spline estimators in nonparametric regression for quantitative data have gained significant attention. However, in practical applications, it is common to encounter situations where the response variable is qualitative (binary).
Afiqah Saffa Suriaslan +2 more
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The asymptotic normality of internal estimator for nonparametric regression [PDF]
In this paper, we aim to study the asymptotic properties of internal estimator of nonparametric regression with independent and dependent data. Under some weak conditions, we present some results on asymptotic normality of the estimator.
Penghua Li, Xiaoqin Li, Liping Chen
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Online Nonparametric Regression [PDF]
We establish optimal rates for online regression for arbitrary classes of regression functions in terms of the sequential entropy introduced in (Rakhlin, Sridharan, Tewari, 2010). The optimal rates are shown to exhibit a phase transition analogous to the
Rakhlin, Alexander, Sridharan, Karthik
core +4 more sources
Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length–weight relationships [PDF]
The universality of the allometric model for describing the length–weight relationship in marine species has been questioned, particularly for some invertebrates such as sea urchins, clams, and barnacles.
Gorka Bidegain +6 more
doaj +2 more sources
Non-Parametric Regression and Riesz Estimators
In this paper, we consider a non-parametric regression model relying on Riesz estimators. This linear regression model is similar to the usual linear regression model since they both rely on projection operators.
Christos Kountzakis +1 more
doaj +1 more source
Index Option Pricing via Nonparametric Regression
Investors typically use the Black-Scholes (B-S) parametric model to value financial options. However, there is extensive empirical evidence that the B-S model, assuming constant volatility of stock returns, is far from adequate to price options.
Ka Po Kung
doaj +1 more source
Nonparametric predictive regression [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kasparis, Ioannis +5 more
openaire +7 more sources

