New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret

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Detalles Bibliográficos
Publicado en:	Climate of the Past vol. 21, no. 2 (2025), p. 357
Autor Principal:	Netzel, Timon
Outros autores:	Miebach, Andrea, Litt, Thomas, Hense, Andreas
Publicado:	Copernicus GmbH
Materias:	Israel Lake Kinneret Europe Dead Sea Sea of Galilee Holocene Classification Boundary conditions Annual precipitation Artificial neural networks Neural networks Machine learning Uncertainty Precipitation Transfer learning Transfer functions Sediments Spatial distribution Bayesian analysis Pollen Data smoothing Algorithms Conditional probability Methods Probability theory Sediment Monte Carlo simulation Taxa Lakes Palynology Lake deposits Markov chains Sampling methods Generalized linear models Lake sediments Age Automation Depth Statistical analysis Ecosystems Chronology Learning algorithms Paleoclimatology Probabilistic methods Temperature Climate models Paleoclimate Climate Mathematical models Bayesian theory Climate change Environmental
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