In: Entropy, 2021, vol. 23, no. 1, p. 27 p
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical...
|
In: Materials and Structures, 2015, vol. 48, no. 11, p. 3571-3584
|
In: Contributions to Mineralogy and Petrology, 2015, vol. 169, no. 4, p. 1-22
|
In: International Journal of Earth Sciences, 2015, vol. 104, no. 5, p. 1337-1352
|
In: Journal of Materials Science, 2015, vol. 50, no. 14, p. 5091-5103
|
In: European Journal of Wood and Wood Products, 2015, vol. 73, no. 3, p. 335-346
|
In: Evolution Letters, 2020, vol. 4, no. 2, p. 94–108
Evolutionary processes, including selection, can be indirectly inferred based on patterns of genomic variation among contemporary populations or species. However, this often requires unrealistic assumptions of ancestral demography and selective regimes. Sequencing ancient DNA from temporally spaced samples can inform about past selection processes, as time series data allow direct...
|
In: Behavior Research Methods, 2014, vol. 46, no. 3, p. 841-871
|
In: Swiss Journal of Geosciences, 2014, vol. 107, no. 1, p. 23-47
|
In: European Journal of Wood and Wood Products, 2014, vol. 72, no. 3, p. 331-341
|