In: Bioinformatics, 2017, vol. 33, no. 13, p. 2020-2028
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In: International Journal of Computer Vision, 2015, vol. 111, no. 3, p. 298-314
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In: Bioinformatics, 2018, vol. 34, no. 17, p. i647-i655
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In: Statistics and Computing, 2015, vol. 25, no. 1, p. 113-125
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In: Systematic Biology, 2016, vol. 65, no. 3, p. 417-431
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In: Statistics and Computing, 2015, vol. 25, no. 1, p. 93-94
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In: Bioinformatics, 2017, vol. 33, no. 5, p. 669-676
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In: Methods in Ecology and Evolution, 2020, p. -
Evolutionary forces affect the distribution of phenotypes both within and among species. Yet, at the macro‐evolutionary scale, the evolution of intraspecific variance is rarely considered. Here, we present an r and a BEAST 2 implementation that extends the JIVE (Joint inter‐ and Intraspecific Variance Evolution) model aimed at the analysis of continuous trait evolution at both inter‐...
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In: Remote Sensing, 2020, vol. 12, no. 3, p. 559
Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data. Active rock glaciers are bodies that consist of a perennially frozen ice/rock mixture and express a distinct flow-like morphology indicating downslope permafrost creep movement. Annual rates of motion have ranged from a few millimeters to...
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In: Entropy, 2016, vol. 18, no. 9, p. 326
Tests for dependence of continuous, discrete and mixed continuous-discrete variables are ubiquitous in science. The goal of this paper is to derive Bayesian alternatives to frequentist null hypothesis significance tests for dependence. In particular, we will present three Bayesian tests for dependence of binary, continuous and mixed variables. These tests are nonparametric and based on the...
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