New probabilistic methods for local quantitative paleoclimate reconstructions are introduced within a Bayesian framework and applied to plant proxy data from Lake Kinneret (Israel). Recent climate data and arboreal pollen from the lake's sediment are added as predefined boundary conditions. The results provide a reconstruction of the mean December–February temperature and annual precipitation, along with their associated uncertainty ranges, in this region during the Holocene.