Sebastian J. Vollmer

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We have constructed a genomic library of Neurospora crassa DNA in a cosmid vector that contains the dominant selectable marker for benomyl resistance. The library is arranged to permit the rapid cloning of Neurospora genes by either sib-selection or colony-hybridization protocols. Detailed procedures for the uses of the library are described. By use of(More)
The mating-type alleles A and a of Neurospora crassa control mating in the sexual cycle and function in establishing heterokaryon incompatibility in the vegetative cycle. The A and a alleles were cloned, and they were shown to encode both the sexual functions and vegetative incompatibility. The mating-type clones contain nonhomologous DNA segments that are(More)
Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally expensive. Both the calculation of the acceptance probability and the creation of informed proposals usually require an iteration through the whole data set. The recently proposed stochastic gradient Langevin dynamics (SGLD) method circumvents this problem by(More)
We examine the long-run relationship between fertility, mortality, and income using panel cointegration techniques and the available data for the last century. Our main result is that mortality changes and growth of income per capita account for a major part of the fertility change characterizing the demographic transition. The fertility reduction triggered(More)
BACKGROUND Economic growth is widely regarded as a necessary, and often sufficient, condition for the improvement of population health. We aimed to assess whether macroeconomic growth was associated with reductions in early childhood undernutrition in low-income and middle-income countries. METHODS We analysed data from 121 Demographic and Health Surveys(More)
We use the method of deficit accumulation to describe prevalent and incident levels of frailty in community-dwelling older persons and compare prevalence rates in higher income countries in Europe, to prevalence rates in six lower income countries. Two multi-country data collection efforts, SHARE and SAGE, provide nationally representative samples of adults(More)
We study the problem of sampling high and infinite dimensional target measures arising in applications such as conditioned diffusions and inverse problems. We focus on those that arise from approximating measures on Hilbert spaces defined via a density with respect to a Gaussian reference measure. We consider the Metropolis–Hastings algorithm that adds an(More)
We investigate to what extent convergence in production levels per worker has been achieved in Germany since unification. To this end, we model the distribution of GDP per employee across German districts using two-component normal mixtures. While in the first year after unification, the two component distributions were clearly separated and bimodal,(More)
<lb>Many Markov chain Monte Carlo techniques currently available rely on discrete-time re-<lb>versible Markov processes whose transition kernels are variations of the Metropolis–Hastings<lb>algorithm. We explore and generalize an alternative scheme recently introduced in the physics<lb>literature [27] where the target distribution is explored using a(More)
Standard Markov chain Monte Carlo diagnostics, like effective sample size, are ineffective for biased sampling procedures that sacrifice asymptotic correctness for computational speed. Recent work addresses this issue for a class of strongly log-concave target distributions by constructing a computable discrepancy measure based on Stein’s method that(More)