Results 71 to 80 of about 2,848,958 (338)

Global Polynomial Kernel Hazard Estimation [PDF]

SSRN Electronic Journal, 2000
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theoretical point of view as it symptotically reduces bias with unchanged variance.
Nielsen, Jens Perch, Tanggaard, Carsten
openaire   +3 more sources

A Spatio-Temporal Kernel Density Estimation Framework for Predictive Crime Hotspot Mapping and Evaluation [PDF]

Applied Geography, 2018
Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as the popular kernel density estimation (KDE) do not consider the temporal dimension of crime.
Yujie Hu, Fahui Wang, Cecile C. Guin, Haojie Zhu   +3 more
semanticscholar   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

Kernel Estimation of Volterra Using an Adaptive Artificial Bee Colony Optimization and Its Application to Speech Signal Multi-Step Prediction

IEEE Access, 2019
In order to solve parameters selection problem when applying recursive least square (RLS), least mean square (LMS) or normalized LMS (NLMS) algorithms to estimate kernels of second-order Volterra filter (SOVF), a novel adaptive gbest-guide artificial bee
Yumei Zhang, Yuying Rong, Chengling Yan, Jiangshan Liu, Xiaojun Wu   +4 more
doaj   +1 more source

Bivariate box plots based on quantile regression curves

Dependence Modeling, 2020
In this paper, we propose a procedure to build bivariate box plots (BBP). We first obtain the theoretical BBP for a random vector (X, Y). They are based on the univariate box plot of X and the conditional quantile curves of Y|X. They can be computed from
Navarro Jorge
doaj   +1 more source

Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information

Entropy, 2021
Finite-sample bounds on the accuracy of Bhattacharya’s plug-in estimator for Fisher information are derived. These bounds are further improved by introducing a clipping step that allows for better control over the score function.
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor   +3 more
doaj   +1 more source

Iterative graph cuts for image segmentation with a nonlinear statistical shape prior

, 2013
Shape-based regularization has proven to be a useful method for delineating objects within noisy images where one has prior knowledge of the shape of the targeted object.
A. O’Hagan, B. Silverman, D. Cremers, D. Cremers, D. Cremers, D. Cremers, D. Freedman, D. Freedman, D. Hunter, G. Slabaugh, J. Chang, J. Malcolm, J. Malcolm, J. Schindelin, J. Zhu-Jacquot, Joshua C. Chang, L. Grady, N. El Zehiry, N. Vu, O. Veksler, P. Das, P. Kohli, P. Viola, S. Belongie, S. Dambreville, S. Lee, S. Tabbone, S.C. Pei, T. Heimann, T. Jiang, Tom Chou, V. Lempitsky, V. Lempitsky, V. Vineet, Y. Boykov, Y. Boykov, Y. Boykov   +36 more
core   +1 more source

Functional kernel estimators of conditional extreme quantiles [PDF]

, 2011
We address the estimation of "extreme" conditional quantiles i.e. when their order converges to one as the sample size increases. Conditions on the rate of convergence of their order to one are provided to obtain asymptotically Gaussian distributed ...
A Berlinet, BM Hill, F Caeiro, F Ferraty, I Gijbels, I Weissman, J. Pickands, J. Segers, JHJ Einmahl, L Gardes, L Haan de, MI Gomes, MI Gomes, T Samanta, W Stute   +14 more
core   +8 more sources

Kernel Estimation of Relative Risk [PDF]

Bernoulli, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kelsall, Julia E., Diggle, Peter J.
openaire   +3 more sources

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source