Results 11 to 20 of about 23,658 (304)

Nonparametric Estimation of Risk-Neutral Densities [PDF]

open access: yesSSRN Electronic Journal, 2010
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density.
Maria Grith   +2 more
openaire   +4 more sources

Nonparametric density estimation for positive time series [PDF]

open access: yesComputational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taoufik Bouezmarni   +1 more
openaire   +5 more sources

Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation

open access: yesProceedings, 2018
Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
doaj   +1 more source

Robust Localization Method Based on Non-Parametric Probability Density Estimation

open access: yesIEEE Access, 2023
This paper presents robust localization techniques that calculate location using distance observations. In enclosed and heavily populated urban environments, the positive measurement bias introduced by a non-line-of-sight signal can have a considerable ...
Chee-Hyun Park, Joon-Hyuk Chang
doaj   +1 more source

Nonparametric volatility density estimation

open access: yesBernoulli, 2003
We consider two kinds of stochastic volatility models. Both kinds of models contain a stationary volatility process, the density of which, at a fixed instant in time, we aim to estimate. We discuss discrete time models where for instance a log price process is modeled as the product of a volatility process and i.i.d. noise.
van Es, A.J.   +2 more
openaire   +6 more sources

Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors

open access: yesEconometrics, 2016
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression model with continuous and discrete regressors under an unknown error density.
Xibin Zhang   +2 more
doaj   +1 more source

Nonparametric Density Estimation with a Parametric Start

open access: yesThe Annals of Statistics, 1995
31 pages, no figures. This is the original publication for the Hjort-Glad density estimator, Statistical Research Report, Department of Mathematics, University of Oslo, January 1994, with more material than for the published article Annals of Statistics, 1995, vol.
Hjort, Nils Lid, Glad, Ingrid K.
openaire   +4 more sources

NPCirc: An R Package for Nonparametric Circular Methods

open access: yesJournal of Statistical Software, 2014
Nonparametric density and regression estimation methods for circular data are included in the R package NPCirc. Specifically, a circular kernel density estimation procedure is provided, jointly with different alternatives for choosing the smoothing ...
María Oliveira   +2 more
doaj   +1 more source

Research of comparative analysis of nonparametric density estimation by applying Monte Carlo method

open access: yesLietuvos Matematikos Rinkinys, 2013
This paper presents nonparametric statistical estimation of distribution density. The Monte Carlo  method is used to show the effects of kernel function for multimodal kernel density estimation.
Indrė Drulytė, Tomas Ruzgas
doaj   +1 more source

Improving for Network Traffic Bayes Classification Method Based on Correlation Information [PDF]

open access: yesJisuanji gongcheng, 2016
With the rapid growth of network applications,the efficiency of traditional network traffic classification method based on ports and payloads is reduced greatly.Meanwhile,most traffic flow classification methods do not consider the correlation among the ...
ZHAO Ying,TAN Yang
doaj   +1 more source

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