In: Statistics and Computing, 2012, vol. 22, no. 2, p. 513-526
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In: ASTIN Bulletin, 2012, vol. 42, no. 1, p. 271-290
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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...
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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...
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In: Systematic Biology, 2018, vol. 67, no. 1, p. 170-174
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In: Statistical Methods and Applications, 2008, vol. 17, no. 2, p. 167-181
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In: Biometrika, 2001, vol. 88, no. 1, p. 13-52
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In: Social Cognitive and Affective Neuroscience, 2017, vol. 12, no. 4, p. 618-634
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In: Annals of Botany, 2008, vol. 102, no. 5, p. 855-863
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In: Systematic Biology, 2018, vol. 67, no. 3, p. 458-474
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