Publications by authors named "Sebastien Roch"

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Lower Bounds on the Sample Complexity of Species Tree Estimation when Substitution Rates Vary Across Loci.
Max Hill, Sebastien Roch

Bull Math Biol· September 2025

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Maximum Likelihood Estimation for Unrooted 3-Leaf Trees: An Analytic Solution for the CFN Model.
Max Hill, Sebastien Roch, Jose Israel Rodriguez

Bull Math Biol· July 2024

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QR-STAR: A Polynomial-Time Statistically Consistent Method for Rooting Species Trees Under the Coalescent.
Yasamin Tabatabaee, Sebastien Roch, Tandy Warnow

J Comput Biol· November 2023

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Inconsistency of Triplet-Based and Quartet-Based Species Tree Estimation under Intralocus Recombination.
Max Hill, Sebastien Roch

J Comput Biol· November 2022

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A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements.
Gautam Dasarathy, Elchanan Mossel, Robert Nowak, Sebastien Roch

J Math Biol· April 2022

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Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss.
Brandon Legried, Erin K Molloy, Tandy Warnow, Sébastien Roch

J Comput Biol· May 2021

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Impossibility of Consistent Distance Estimation from Sequence Lengths Under the TKF91 Model.
Wai-Tong Louis Fan, Brandon Legried, Sebastien Roch

Bull Math Biol· September 2020

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Statistically consistent and computationally efficient inference of ancestral DNA sequences in the TKF91 model under dense taxon sampling.
Wai-Tong Fan, Sebastien Roch

Bull Math Biol· January 2020

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Species Tree Estimation Using ASTRAL: How Many Genes Are Enough?
Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab

IEEE/ACM Trans Comput Biol Bioinform· June 2019

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Long-Branch Attraction in Species Tree Estimation: Inconsistency of Partitioned Likelihood and Topology-Based Summary Methods.
Sebastien Roch, Michael Nute, Tandy Warnow

Syst Biol· March 2019

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Geometry of the Sample Frequency Spectrum and the Perils of Demographic Inference.
Zvi Rosen, Anand Bhaskar, Sebastien Roch, Yun S Song

Genetics· October 2018

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Generalized least squares can overcome the critical threshold in respondent-driven sampling.
Sebastien Roch, Karl Rohe

Proc Natl Acad Sci U S A· October 2018

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Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree.
Cécile Ané, Lam Si Tung Ho, Sebastien Roch

J Math Biol· January 2017

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Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method.
Gautam Dasarathy, Robert Nowak, Sebastien Roch

IEEE/ACM Trans Comput Biol Bioinform· June 2016

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On the Robustness to Gene Tree Estimation Error (or lack thereof) of Coalescent-Based Species Tree Methods.
Sebastien Roch, Tandy Warnow

Syst Biol· July 2015

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Likelihood-based tree reconstruction on a concatenation of aligned sequence data sets can be statistically inconsistent.
Sebastien Roch, Mike Steel

Theor Popul Biol· March 2015

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An analytical comparison of multilocus methods under the multispecies coalescent: the three-taxon case.
Sebastien Roch

Pac Symp Biocomput· December 2013

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Identifiability and inference of non-parametric rates-across-sites models on large-scale phylogenies.
Elchanan Mossel, Sebastien Roch

J Math Biol· October 2013

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Recovering the treelike trend of evolution despite extensive lateral genetic transfer: a probabilistic analysis.
Sebastien Roch, Sagi Snir

J Comput Biol· February 2013

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On the inference of large phylogenies with long branches: how long is too long?
Elchanan Mossel, Sébastien Roch, Allan Sly

Bull Math Biol· July 2011

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Incomplete lineage sorting: consistent phylogeny estimation from multiple loci.
Elchanan Mossel, Sebastien Roch

IEEE/ACM Trans Comput Biol Bioinform· May 2010

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Toward extracting all phylogenetic information from matrices of evolutionary distances.
Sebastien Roch

Science· March 2010

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Shrinkage effect in ancestral maximum likelihood.
Elchanan Mossel, Sebastien Roch, Mike Steel

IEEE/ACM Trans Comput Biol Bioinform· August 2009

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Upstream reciprocity and the evolution of gratitude.
Martin A Nowak, Sébastien Roch

Proc Biol Sci· March 2007

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A short proof that phylogenetic tree reconstruction by maximum likelihood is hard.
Sebastien Roch

IEEE/ACM Trans Comput Biol Bioinform· November 2006

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