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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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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Thèse de doctorat : Università della Svizzera italiana, 2004 ; 2004ECO004.
This thesis presents a Bayesian analysis of a non-linear time series model. In particular, we deal with a mixture of normal distributions whose means are linear functions of the past values of the observed variable. Since the component densities of the mixture can be viewed as the conditional distributions of different Gaussian autoregressive models, the model is referred as mixture of...
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In: Systematic Biology, 2018, vol. 67, no. 4, p. 681-699
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In: Systematic Biology, 2017, vol. 66, no. 1, p. 3-22
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In: Biometrika, 2001, vol. 88, no. 1, p. 13-52
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In: The European Journal of Health Economics, 2015, vol. 16, no. 4, p. 407-419
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In: Systematic Biology, 2018, vol. 67, no. 3, p. 458-474
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In: ASTIN Bulletin, 2012, vol. 42, no. 1, p. 271-290
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In: Social Cognitive and Affective Neuroscience, 2017, vol. 12, no. 4, p. 618-634
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