Results 251 to 260 of about 255,160 (310)

A two stage statistical framework for cold start spare part demand forecasting. [PDF]

PLoS One
B SN, B VSR, Sastry C C, Salunkhe S, Cep R, Jitpichitchai S.   +5 more
europepmc   +1 more source

The morphology of the oval window in Paranthropus robustus compared to humans and other modern primates

The Anatomical Record, EarlyView.
Abstract The oval window (OW) is an opening connecting the inner and middle ear. Its area has been shown to consistently scale with body mass (BM) in primates, and has been used alongside semi‐circular canal (SCC) size to differentiate Homo sapiens and fossil hominins, including Paranthropus robustus.
Ruy Fernandez, José Braga
wiley   +1 more source

⁶⁸Ga-FAPI PET/CT safely detects multifocal endometriosis: a case report. [PDF]

EJNMMI Rep
Divband G, Milani A, Chehrara M, Sharifi H, Hassanzadeh L.   +4 more
europepmc   +1 more source

Monte Carlo modeling and phantom studies show Cherenkov emission per unit dose during total skin electron therapy is a function of tissue optical properties. [PDF]

Med Phys
Zhu Y, Ong YH, Byrd BK, Alexander DA, Johnson M, Sourvanos D, Zhu TC.   +6 more
europepmc   +1 more source

Linkage-aware inference of fitness from short-read time-series genomic data. [PDF]

Virus Evol
Abdullah SMU, Sohail MS, Louie RHY, Sun Y, Barton JP, McKay MR.   +5 more
europepmc   +1 more source

Introduction to Monte Carlo Methods

, 2004
openaire   +3 more sources

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The Monte Carlo method

Journal of the American Statistical Association, 1949
Abstract In this paper Metropolis and Ulam gave a brief introduction to “the Monte Carlo method” which is described as a statistical approach to the study of differential equations as applied by Metropolis, Ulam, Fermi, von Neumann, Feynman, and others at the Los Alamos Laboratory in the 1940s.0 Several examples of applications of ...
N, METROPOLIS, S, ULAM
openaire   +2 more sources

Monte Carlo and Quasi-Monte Carlo Methods

2020
Monte Carlo is one of the most versatile and widely used numerical methods. Its convergence rate, O(N~1^2), is independent of dimension, which shows Monte Carlo to be very robust but also slow. This article presents an introduction to Monte Carlo methods for integration problems, including convergence theory, sampling methods and variance reduction ...
Tuffin, Bruno, L'Écuyer, Pierre
openaire   +2 more sources