Results 211 to 220 of about 99,191 (258)

Bayesian Inference of Sex-Specific Mortality Profiles and Product Yields from Unsexed Cattle Zooarchaeological Remains. [PDF]

J Archaeol Method Theory
Diekmann Y, Gillis RE, Lu Z, Rudzinski A, De Iorio M, Thomas MG.   +5 more
europepmc   +1 more source

Variable grouping patterns in primates: A test of the better competitor hypothesis in male Verreaux's sifaka (Propithecus verreauxi)

The Anatomical Record, EarlyView.
Abstract Intraspecific variation in social organization (IVSO) within primate populations can arise due to male mating competition. Verreaux's sifaka (Propithecus verreauxi) populations exhibit both single‐male and multi‐male groups, providing an opportunity to examine the relationship between male competitive ability and social organization.
Lemeng Li, Stacey R. Tecot, Rebecca J. Lewis   +2 more
wiley   +1 more source

Preparing to act follows Bayesian inference rules. [PDF]

iScience
Tarasi L, Tabarelli de Fatis C, Covelli M, Ippolito G, Avenanti A, Romei V.   +5 more
europepmc   +1 more source

Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]

PLoS One
Raherinirina A, Tsilefa ST, Nirilanto T, Manou-Abi SM.   +3 more
europepmc   +1 more source

Bayesian inference of nosocomial meticillin-resistant Staphylococcus aureus transmission rates in an urban safety-net hospital. [PDF]

J Hosp Infect
Corkran K, Bani-Yaghoub M, Sutkin G, Arjmand A, Paschal S.   +4 more
europepmc   +1 more source

Estimating epidemiological parameters of highly pathogenic avian influenza in common terns using exact Bayesian inference. [PDF]

J Anim Ecol
Ewing DA, Bouwhuis S.
europepmc   +1 more source

Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model. [PDF]

PLoS Comput Biol
Roberts I, Everitt RG, Koskela J, Didelot X.   +3 more
europepmc   +1 more source

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BAYESIAN INFERENCE

2019
Abstract Chapter 4 introduces the concept of Bayesian inference. The chapter discusses the scientific method, and illustrates how Bayes’ Theorem can be used for scientific inference. Bayesian inference is the use of Bayes’ Theorem to draw conclusions about a set of mutually exclusive and exhaustive alternative hypotheses by linking prior
AKSE MARTIJN, VERHAEGH WILHELMUS
  +8 more sources

The Bayesian inference of phase

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
Bayesian recursive inference of phase in additive Gaussian noise environments is studied. A tractable conjugate system is established using a von Mises distribution. Its shaping parameter, κ, is studied, to reveal the link with classical phase estimation via matched transforms. Uncertainty quantifiers involve a modified Bessel function kernel.
Anthony Quinn, Jean-Pierre Barbot, Pascal Larzabal   +2 more
openaire   +1 more source