statistical insertion–deletion (2008)
Gerton Lunter, István Miklós, Alexei Drummond, Jens Ledet Jensen, Jotun Hein
phylogenetic inference under a
Revised version Corresponding author: (2007)
Jens Ledet Jensen, Niels Vver Hartvig, Niels Vver Hartvig, Ny Munkegade
Copyright notice: This is a preprint of an article accepted for publication
Statistical Inference in Evolutionary Models of DNA Sequences via the EM Algorithm (2005)
Hobolth, Asger, Jensen, Jens Ledet
We describe statistical inference in continuous time Markov processes of DNA sequences related by a phylogenetic tree. The maximum likelihood estimator can be found by the expectation maximization...
Statistical Inference in Evolutionary Models of DNA Sequences via the EM Algorithm (2005)
Hobolth, Asger, Jensen, Jens Ledet
We describe statistical inference in continuous time Markov processes of DNA sequences related by a phylogenetic tree. The maximum likelihood estimator can be found by the expectation maximization...
Statistical Inference in Evolutionary Models of DNA Sequences via the EM Algorithm (2005)
Hobolth, Asger, Jensen, Jens Ledet
We describe statistical inference in continuous time Markov processes of DNA sequences related by a phylogenetic tree. The maximum likelihood estimator can be found by the expectation maximization...
Statistical Inference in Evolutionary Models of DNA Sequences via the EM Algorithm (2005)
Hobolth, Asger, Jensen, Jens Ledet
We describe statistical inference in continuous time Markov processes of DNA sequences related by a phylogenetic tree. The maximum likelihood estimator can be found by the expectation maximization...
Gerton Lunter, István Miklós, Alexei Drummond, Jens Ledet Jensen, Alexei Drummond, Jens Ledet Jensen, ...
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
Pedersen, Anne-Mette Krabbe, Jensen, Jens Ledet
We present a model and methodology for the maximum-likelihood analysis of pairwise alignments of DNA sequences in which two genes are encoded in overlapping reading frames. In the model for the...
Probabilistic models of DNA sequence evolution with context dependent rates of substitution (2000)
Jensen, Jens Ledet, Pedersen, Anne-Mette Krabbe
We consider Markov processes of DNA sequence evolution in which the instantaneous rates of substitution at a site are allowed to depend upon the states at the sites in a neighbourhood of the site at...
Spatial mixture modelling of fMRI data (2000)
Niels Væver Hartvig, Jens Ledet Jensen, Niels Vver Hartvig, Niels Vver Hartvig, Ny Munkegade
Recently Everitt and Bullmore (1999) proposed a mixture model for a test statistic for activation in fMRI data. The distribution of the statistic was divided into two components; one for...
Spatial mixture modelling of fMRI data (2000)
Niels Væver Hartvig, Niels Vver Hartvig, Jens Ledet Jensen
Recently Everitt and Bullmore (1999) proposed a mixture model for a test statistic for activation in fMRI data. The distribution of the statistic was divided into two components; one for...
Ornstein-Uhlenbeck type processes with non-normal distribution (1999)
Jensen, Jens Ledet, Pedersen, Jan
We analyse a class of diffusion models that (i) allows an explicit expression for the likelihood function of discrete time observation, (ii) allows the possibility of heavy-tailed observations, and...
Asymptotic normality of the maximum likelihood estimator in state space models (1999)
Jensen, Jens Ledet, Petersen, Niels Væver
State space models is a very general class of time series models capable of modelling dependent observations in a natural and interpretable way. Inference in such models has been studied by Bickel,...
Asymptotic normality of the maximum likelihood estimator in state space models (1999)
Jens Ledet Jensen, Niels Vver Petersen
State space models is a very general class of time series models capable of modeling dependent observations in a natural and interpretable way. Inference in such models have been studied by Bickel et...
Asymptotic Normality Of The Maximum Likelihood Estimator In State Space Models (1998)
Jens Ledet Jensen, Niels Væver Petersen, Niels Vaever Petersen
State space models is a very general class of time series models capable of modeling dependent observations in a natural and interpretable way. Inference in such models have been studied by Bickel et...
Is the 'improved likelihood ratio statistic' really improved in the discrete case? (1989)
FRYDENBERG, MORTEN, JENSEN, JENS LEDET
On the basis of some numerical studies we argue that Bartlett adjustment of the likelihood ratio statistic for discrete data does not in general yield an improvement in the asymptotic error rate of...
Recursions for statistical multiple alignment
Hein, Jotun, Jensen, Jens Ledet, Pedersen, Christian N. S.
Algorithms are presented that allow the calculation of the probability of a set of sequences related by a binary tree that have evolved according to the Thorne–Kishino–Felsenstein model for a...
Bayesian coestimation of phylogeny and sequence alignment
Lunter, Gerton, Miklós, István, Drummond, Alexei, Jensen, Jens Ledet, Hein, Jotun
Recursions for statistical multiple alignment
Hein, Jotun, Jensen, Jens Ledet, Pedersen, Christian N. S.
Algorithms are presented that allow the calculation of the probability of a set of sequences related by a binary tree that have evolved according to the Thorne–Kishino–Felsenstein model for a...
Bayesian coestimation of phylogeny and sequence alignment
Lunter, Gerton, Miklós, István, Drummond, Alexei, Jensen, Jens Ledet, Hein, Jotun
A class of risk neutral densities with heavy tails
Niels VÖver Hartvig, Jens Ledet Jensen, Jan Pedersen
From observed bid and ask prices of European call and put options we estimate the risk neutral density of a stock at some future time $t>0$. We restrict attention to a class of densities with heavy...