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Lynn Kuo

Researcher at University of Connecticut

Publications -  83
Citations -  8540

Lynn Kuo is an academic researcher from University of Connecticut. The author has contributed to research in topics: Bayes' theorem & Bayesian probability. The author has an hindex of 26, co-authored 82 publications receiving 7122 citations. Previous affiliations of Lynn Kuo include National Tsing Hua University & University of California, Davis.

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Journal ArticleDOI

GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2

B. P. Abbott, +1065 more
TL;DR: The magnitude of modifications to the gravitational-wave dispersion relation is constrain, the graviton mass is bound to m_{g}≤7.7×10^{-23} eV/c^{2} and null tests of general relativity are performed, finding that GW170104 is consistent with general relativity.
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GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

B. P. Abbott, +1148 more
- 04 Sep 2019 - 
TL;DR: In this paper, the authors presented the results from three gravitational-wave searches for coalescing compact binaries with component masses above 1 Ma during the first and second observing runs of the advanced GW detector network.
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Improving Marginal Likelihood Estimation for Bayesian Phylogenetic Model Selection

TL;DR: A new method is introduced, steppingstone sampling (SS), which uses importance sampling to estimate each ratio in a series (the "stepping stones") bridging the posterior and prior distributions, which concludes that the greatly increased accuracy of the SS and TI methods argues for their use instead of the HM method, despite the extra computation needed.
Journal ArticleDOI

GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

B. P. Abbott, +1148 more
TL;DR: In this article, the authors presented the results from three gravitational-wave searches for coalescing compact binaries with component masses above 1, during the first and second observing runs of the Advanced Gravitational-wave detector network.
Journal ArticleDOI

Identification of differentially expressed genes between osteoblasts and osteocytes.

TL;DR: In isolation of osteocyte and osteoblast cell populations and their subsequent microarray analysis allowed us to identify a number or genes and pathways with potential roles in regulation of bone mass.