The Moran model is used in population genetics as a simple way to describe the stochastic evolution of a biological population. The model assumes that the population has a fixed size N and that it evolves through random reproduction events, in which one individual dies and is replaced by a newborn. Parents of the newborn individual are chosen at random from the population. In the classical Mora...

In this paper I illustrate the use of general conditions, derived by Pinkse (1999), under which Moran–flavoured tests for spatial correlation and spatial cross–correlation have a limiting normal distribution in the presence of nuisance parameters in six frequently encountered spatial models. The conditions are weaker than those in related work by other authors and the class of nuisance paramete...

The Moran process models the spread of mutations in populations on graphs. We investigate the absorption time of the process, which is the time taken for a mutation introduced at a randomly chosen vertex to either spread to the whole population, or to become extinct. It is known that the expected absorption time for an advantageous mutation is O(n) on an n-vertex undirected graph, which allows ...

ELISABETH ROUDINESCO, Madness anid revolution: the lives and legends of Theroigne de Mericourt, transl. Martin Thom, London and New York, Verso, 1992, pp. xi, 284, illus., £12.95 (paperback 0-86091-597-2). Anne-Josephe Terwagne, from Marcourt in Belgium, gained notoriety during the French Revolution as Theroigne de Mericourt and ended her life confined in La Salpetri&e. Her "madness", integrate...

We study the Moran process as adapted by Lieberman, Hauert and Nowak. A family of directed graphs is said to be strongly amplifying if the extinction probability tends to 0 when the Moran process is run on graphs in this family. The most-amplifying known family of directed graphs is the family of megastars of Galanis et al. We show that this family is optimal, up to logarithmic factors, since e...

We provide a sharp nonasymptotic analysis of the rates of convergence for some standard multivariate Markov chains using spectral techniques. All chains under consideration have multivariate orthogonal polynomial as eigenfunctions. Our examples include the Moran model in population genetics and its variants in community ecology, the Dirichlet-multinomial Gibbs sampler, a class of generalized Be...

ABSTRACT: Objectives: To analyze the prevalence at birth and spatial temporal distribution of congenital anomalies (CAs) among live births in state Maranhão 2001 to 2016. describe demographic, gestational neonatal variables interest. Methods: Ecological, population-based study, using secondary data from Live Birth Information System (SINASC). Annual total per-group CAs was calculated. Spatial a...

c Fig. 2. Confocal microscope showed a: normal FDP tendon b: allografts before implantation c: allograft treated with CHG d: allografts in control group Improvement of Flexor Tendon Reconstruction Using Carbodiimide Derivatized Hyaluronic Acid and Gelatin Modified Intrasynovial Allografts +Zhao, C; Sun, Y-L; Ikeda, J; Kirk, R L; Thoreson, A R; Moran, S L; An, K-N; Amadio, P C + Mayo Clinic, Bio...

One of the most widely used tests for spatial dependence is Moran’s (1950) I test. The power of the test will depend on the extent to which the spatial-weights matrix employed in computing the Moran I test statistic properly specifies existing interaction links between spatial units. Empirical researchers are often unsure about the use of a particular spatial-weights matrix. In light of this Pr...