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Consortium of Swiss Academic Libraries

Some challenges for statistics

Davison, A.

In: Statistical Methods and Applications, 2008, vol. 17, no. 2, p. 167-181

Consortium of Swiss Academic Libraries

Biometrika Centenary: Theory and general methodology

Davison, A. C.

In: Biometrika, 2001, vol. 88, no. 1, p. 13-52

Université de Fribourg

Unexpected ancestry of Populus seedlings from a hybrid zone implies a large role for postzygotic selection in the maintenance of species

Lindtke, Dorothea ; Gompert, Zachariah ; Lexer, Christian ; Buerkle, C. Alex

In: Molecular Ecology, 2014, p. –

In the context of potential interspecific gene flow, the integrity of species will be maintained by reproductive barriers that reduce genetic exchange, including traits associated with prezygotic isolation or poor performance of hybrids. Hybrid zones can be used to study the importance of different reproductive barriers, particularly when both parental species and hybrids occur in close spatial...

Université de Fribourg

The AdMit Package

Ardia, David ; Hoogerheide, Lennart F. ; van Dijk, Herman K.

This short note presents the R package AdMit which provides flexible functions to approximate a certain target distribution and to efficiently generate a sample of random draws from it, given only a kernel of the target density function. The estimation procedure is fully automatic and thus avoids the time-consuming and difficult task of tuning a sampling algorithm. To illustrate the use of the...

Université de Fribourg

Adaptive mixture of Student-t distributions as a flexible candidate distribution for efficient simulation: the R package AdMit

Ardia, David ; Hoogerheide, Lennart F. ; van Dijk, Herman K.

In: Journal of Statistical Software, 2009, vol. 29, no. 3, p. 1-32

This paper presents the R package AdMit which provides flexible functions to approximate a certain target distribution and to efficiently generate a sample of random draws from it, given only a kernel of the target density function given only a kernel of the target density function. The core algorithm consists of the function AdMit which fits an adaptive mixture of Student-t distributions to the...