Results 21 to 30 of about 624,838 (295)
Journal of Statistical Software, 2020 We introduce Sim.DiffProc, an R package for symbolic and numerical computations on scalar and multivariate systems of stochastic differential equations (SDEs). It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the
Arsalane Chouaib Guidoum +1 more
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A nonparametric measure of heteroskedasticity [PDF]
Journal of Statistical Planning and Inference, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Song, Xiaojun, Taamouti, Abderrahim
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kdecopula: An R Package for the Kernel Estimation of Bivariate Copula Densities
Journal of Statistical Software, 2018 We describe the R package kdecopula (current version 0.9.2), which provides fast implementations of various kernel estimators for the copula density. Due to a variety of available plotting options it is particularly useful for the exploratory analysis of
Thomas Nagler
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Online nonparametric Bayesian analysis of parsimonious Gaussian mixture models and scenes clustering
ETRI Journal, 2020 The mixture model is a very powerful and flexible tool in clustering analysis. Based on the Dirichlet process and parsimonious Gaussian distribution, we propose a new nonparametric mixture framework for solving challenging clustering problems. Meanwhile,
Ri‐Gui Zhou, Wei Wang
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Nonparametric and Semi‐Nonparametric Recreational Demand Analysis [PDF]
American Journal of Agricultural Economics, 2000 AbstractThis paper addresses issues of specification testing for the travel cost method (TCM). Two nonparametric approaches to TCM analysis are presented. In addition, semi‐nonparametric count models for TCM are developed. A numerical illustration is provided in which the three methods are applied to an actual TCM data set on waterfowl hunting and the ...
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Mathematics, 2023 Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia +4 more
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Rediscovery of Good-Turing estimators via Bayesian nonparametrics [PDF]
, 2015 The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in challenging applications arising in genetics, bioinformatics, linguistics ...
Favaro, Stefano +2 more
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Gini estimation under infinite variance [PDF]
, 2017 We study the problems related to the estimation of the Gini index in presence of a fat-tailed data generating process, i.e. one in the stable distribution class with finite mean but infinite variance (i.e. with tail index $\alpha\in(1,2)$). We show that,
Cirillo, Pasquale +2 more
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On nonparametric spectral estimation [PDF]
Circuits Systems and Signal Processing, 1999 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Tomas Sundin, Petre Stoica
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, 2008 We present a new class of methods for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse linear modeling and additive nonparametric regression.
Lafferty, John +3 more
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