Published on behalf of the International Biometric Society, Biometrics emphasizes the role of statistics and mathematics in the biosciences. Its objectives are to promote and extend the use of statistical and mathematical methods in the principal disciplines of biosciences by reporting on the development and application of these methods.
New paper accepted: Zhang, Z., Arellano-Valle, R. B., Genton, M. G., and Huser, R. (2022+), Tractable Bayes of skew-elliptical link models for correlated binary data, Biometrics, to appear [PDF preprint].
Related Persons
Al-Khawarzmi Distinguished Professor,
Statistics
Associate Professor,
Statistics
PhD Student,
Statistics