Results 231 to 240 of about 132,359 (288)

A new, conspicuously pigmented Pyrrhulina (Teleostei: Characiformes: Lebiasinidae) from the Río Tigre, Loreto, Peru

Journal of Fish Biology, EarlyView.
Abstract A new species of Pyrrhulina is described based on morphological and molecular evidence. Pyrrhulina punctata is distinguished from all congeners by the presence of a series of 7 to 16 irregular blotches of dark pigmentation on the flanks, equally marked in juveniles and adult specimens, the presence of 26–28 lateral‐line scales, 17–21 maxillary
Andre Netto‐Ferreira, Lorena Vieira, Taina Souza, Morgan Ruiz‐Tafur, James Garcia‐Ayala   +4 more
wiley   +1 more source

How do price spillovers between natural gas and copper-aluminum markets differ in international vs. Chinese contexts? [PDF]

PLoS One
Wang L, Lu Q, Chen T, Xiao B.
europepmc   +1 more source

Classical criticality via quantum annealing. [PDF]

Nat Commun
Sathe P, King AD, Mniszewski SM, Coffrin C, Nisoli C, Caravelli F.   +5 more
europepmc   +1 more source

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients. [PDF]

Sci Rep
Ekong AH, Olayiwola OM, Dawodu GA, Osinuga IA.   +3 more
europepmc   +1 more source

Sensitive detection of copy number alterations in low-pass liquid biopsy sequencing data. [PDF]

Brief Bioinform
Eriksson L, Lakatos E.
europepmc   +1 more source

Estimation of the exponential growth rate of an epidemic. [PDF]

Infect Dis Model
Wang M, van den Driessche P, Cowen LLE, Ma J.   +3 more
europepmc   +1 more source

Operator-level quantum acceleration of non-logconcave sampling. [PDF]

Proc Natl Acad Sci U S A
Leng J, Ding Z, Chen Z, Lin L.
europepmc   +1 more source

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MRF parameter estimation by MCMC method

Pattern Recognition, 2000
Abstract Markov random field (MRF) modeling is a popular pattern analysis method and MRF parameter estimation plays an important role in MRF modeling. In this paper, a method based on Markov Chain Monte Carlo (MCMC) is proposed to estimate MRF parameters. Pseudo-likelihood is used to represent likelihood function and it gives a good estimation result.
Lei Wang, Jun Liu, Stan Z. Li
openaire   +3 more sources