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Found 9 papers, 2 papers with code
Expanding the class of global objective functions for dissimilarity-based hierarchical clustering
Recent work on dissimilarity-based hierarchical clustering has led to the introduction of global objective functions for this classical problem.
Pairwise sequence alignment at arbitrarily large evolutionary distance
Ancestral sequence reconstruction is a key task in computational biology.
Estimating Graph Dimension with Cross-validated Eigenvalues
In this situation, one could argue that the correct choice of $k$ is the number of detectable dimensions.
Generalized least squares can overcome the critical threshold in respondent-driven sampling
In particular, a theoretical analysis indicates that the variance of the GLS estimator is $O(n^{-1})$.
Statistics Theory Social and Information Networks Probability Statistics Theory
Sufficient condition for root reconstruction by parsimony on binary trees with general weights
We consider the problem of inferring an ancestral state from observations at the leaves of a tree, assuming the state evolves along the tree according to a two-state symmetric Markov process.
Probability Computational Engineering, Finance, and Science Populations and Evolution
Coalescent-based species tree estimation: a stochastic Farris transform
As a corollary, we also obtain a new identifiability result of independent interest: for any species tree with $n \geq 3$ species, the rooted species tree can be identified from the distribution of its unrooted weighted gene trees even in the absence of a molecular clock.
Distance-based species tree estimation: information-theoretic trade-off between number of loci and sequence length under the coalescent
We consider the reconstruction of a phylogeny from multiple genes under the multispecies coalescent.
Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method
We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes.
On the Submodularity of Influence in Social Networks
Here we prove a conjecture of KKT: we show that the function $\sigma(S)$ is submodular under the assumptions above.
Probability Computer Science and Game Theory Social and Information Networks
