Results 131 to 140 of about 2,674 (172)

Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state. [PDF]

Neuron
Levenstein D, Gornet J, Huszár R, Girardeau G, Grosmark A, Peyrache A, Senzai Y, Watson BO, Mizuseki K, Rinzel J, Buzsáki G.   +10 more
europepmc   +1 more source

Climatic and geological drivers of diversity in Iranian Barbels lineage (Cypriniformes: Cyprinidae: Barbinae and Torinae): An integrative taxonomic perspective. [PDF]

PLoS One
Khoshnamvand H, Abdoli A, Ahmadzadeh F, Janko K.   +3 more
europepmc   +1 more source

Cyber Risk Management of API-Enabled Financial Crime in Open Banking Services. [PDF]

Entropy (Basel)
Ojehomon OG, Cichorska J, Michnik J.
europepmc   +1 more source

Changes in Heart Transplant Listings by Insurance and Race During the COVID Public Health Emergency. [PDF]

Circ Heart Fail
Fox DK, Waken RJ, Wang F, Avula K, Raymer DS, Vader JM, Schilling JD, Joynt Maddox KE.   +7 more
europepmc   +1 more source

Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever-Counted Cape Buffalo Mega-Herd. [PDF]

Ecol Evol
Bennitt E, Costelloe BR, Koger B, Wielgus E, Masunga G, Caron A.   +5 more
europepmc   +1 more source

Influence of non-stationarity in friction angle on the performance of the braced excavation system. [PDF]

Sci Rep
Rafi KM, Ering P.
europepmc   +1 more source

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On Poisson Mixture of Lognormal Distributions

Lobachevskii Journal of Mathematics, 2020
Generally, jump-diffusion processes used in finance are confined to the processes with Brownian motion, constant trend and jump component, described by compound Poisson processes (CPP). CPP is usually defined by a sum of standard normal distributions. In most applications one either needs moments or characteristic function of the process.
Ohanyan V K
exaly   +3 more sources

Electrochemical horizons for the Poisson-lognormal distribution of probability theory

Journal of Electroanalytical Chemistry, 2005
The potential application of the basic theory of Poisson-lognormal distribution to electrochemical systems is illustrated by the specific examples of ionic-species identification, contamination of cathode deposits, and membrane failure-time.
Thomas Z Fahidy
exaly   +2 more sources

A comparison between the discrete Poisson-gamma and Poisson-lognormal distributions to characterise microbial counts in foods

Food Control, 2011
Abstract The choice of statistical distributions characterising microbial counts is essential in risk assessment and risk management. While the lognormal distribution has been long used to directly model the microbial data obtained from food samples, it does not allow for complete absence of microorganisms in a sample.
Ursula Gonzales-Barron, Francis Butler
exaly   +2 more sources

On Fitting the Poisson Lognormal Distribution to Species-Abundance Data

Biometrics, 1974
An extension of MacArthur's "broken stick" model is proposed to explain why species abundances should be lognormally distributed. A method of fitting the compound Poisson lognormal distribution by maximum likelihood is described; a computer program is available for performing the calculations.
M G Bulmer
exaly   +3 more sources