Results 241 to 250 of about 925,484 (287)

Disassociating cerebral vasomotion from low frequency spontaneous neurovascular coupling. [PDF]

Sci Rep
Wang R, Patel P, Boorman L, Okun M, Howarth C, Berwick J.   +5 more
europepmc   +1 more source

Quantitative Analysis Model for the Powder Content of <i>Zanthoxylum bungeanum</i> Based on IncepSpect-CBAM. [PDF]

Foods
Wang Y, Liu P, Liang S, Zhang Y, Zhu K, Yu Q.   +5 more
europepmc   +1 more source

Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes. [PDF]

Sci Rep
Abokadr S, Azman A, Hamdan H, Nasharuddin NA.   +3 more
europepmc   +1 more source

Prediction of Digestible and Metabolizable Energy in Swine Feed Using Machine Learning. [PDF]

ACS Omega
Yu JW, Liu SH, Ye DX, Wu, Lin H, Lin Y.
europepmc   +1 more source

A Comparative Study on the Performance of Gamma Kernels for Nonparametric Imputation

openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Moments for Hawkes Processes with Gamma Decay Kernel Functions

Methodology and Computing in Applied Probability, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lirong Cui, Bei Wu
exaly   +3 more sources

The quasi-invariance property for the Gamma kernel determinantal measure

Advances in Mathematics, 2011
53 pages, 2 figures; Version 2: minor ...
Grigori Olshanski
exaly   +4 more sources

Rigidity of determinantal point processes with the Airy, the Bessel and the Gamma kernel [PDF]

Bulletin of Mathematical Sciences, 2015
10 ...
Alexander Bufetov
exaly   +3 more sources

Gamma Kernel Intensity Estimation in Temporal Point Processes

Communications in Statistics Part B: Simulation and Computation, 2011
In this article, we propose a nonparametric approach for estimating the intensity function of temporal point processes based on kernel estimators. In particular, we use asymmetric kernel estimators characterized by the gamma distribution, in order to describe features of observed point patterns adequately.
Giada Adelfio
exaly   +2 more sources

Nonparametric gamma kernel estimators of density derivatives on positive semi-axis [PDF]

IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2013
We consider nonparametric estimation of the derivative of a probability density function with the bounded support on $[0,\infty)$. Estimates are looked up in the class of estimates with asymmetric gamma kernel functions. The use of gamma kernels is due to the fact they are nonnegative, change their shape depending on the position on the semi-axis and ...
Natalia Markovich
exaly   +4 more sources