Results 81 to 90 of about 7,005 (200)
Nonparametric resampling of random walks for spectral network clustering.
, 2014 International audienceParametric resampling schemes have been recently introduced in complex network analysis with the aim of assessing the statistical significance of graph clustering and the robustness of community partitions.
Latora, Vito +3 more
core +1 more source
A Unified Approach to Estimating Production Functions: Proxy Variables and Dynamic Panel Data
The Journal of Industrial Economics, EarlyView.ABSTRACT We propose a new approach to production function estimation that integrates the strengths of the proxy‐variable (PV) and dynamic panel data (DPD) methods. Our framework augments the set of instruments for the level equation in Blundell and Bond [8] with a Berkson‐type instrument motivated by economic theory, following Olley and Pakes [28 ...
Jose Miguel Abito +1 more
wiley +1 more source
Comparing Efficiency Across Markets: An Extension and Critique of the Zhang and Bartels (1998) Methodology [PDF]
The use of non-parametric frontier methods for the evaluation of product market efficiency in heterogeneous markets seems to have gained some popularity recently. However, the statistical properties of these frontier estimators have been largely ignored.
Ruben Chumpitaz +2 more
core
Journal of Phycology, EarlyView.Abstract Bioluminescent bays (biobays) are uncommon coastal ecosystems featuring dense populations of dinoflagellates, often found in mangrove‐ringed lagoons with long water retention times and high organic matter (OM) levels. Although mangroves are associated with high dinoflagellate abundance, it remains uncertain how inorganic nutrients compare with
James L. Pinckney +2 more
wiley +1 more source
Mean Volatility Regressions [PDF]
Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset pricing with both risk free asset and risky security, we propose a class of semiparametric regressions for a combination of a non-random ...
Lixing Zhu +3 more
core
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
wiley +1 more source
Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators [PDF]
--
Bissantz, Nicolai, Birke, Melanie
core
Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Orthopaedic Surgery, EarlyView.We developed and validated a biomarker‐based model (PCT, IL‐6, CRP, ESR) that accurately distinguishes infectious from aseptic nonunion in long bone fractures, enabling superior preoperative diagnosis and informed surgical decision‐making. ABSTRACT Objective Preoperative identification of infectious nonunion remains challenging, particularly in ...
Heng Wu +8 more
wiley +1 more source
Statistical Computing and Algorithm Analysis
, 2022 This course covers both theoretical and practical issues of statistical computing and algorithms required in modern data science. Students will learn how to develop algorithms for statistical methods and apply them to data science problems.
North Carolina Agricultural and Technical State University
core