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Vallisneri, Michele
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1

NANOGrav 15-year gravitational-wave background methods:

Johnson, Aaron D. ; Meyers, Patrick M. ; Baker, Paul T....
Physical Review D.  109 (2024)  10 - p. , 2024
Link: https://doi.org/10.1103/..
 
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2

Posterior predictive checking for gravitational-wave detect..:

Meyers, Patrick M. ; Chatziioannou, Katerina ; Vallisneri, Michele.
Physical Review D.  108 (2023)  12 - p. , 2023
Link: https://doi.org/10.1103/..
 
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3

Accurate characterization of the stochastic gravitational-w..:

Hourihane, Sophie ; Meyers, Patrick ; Johnson, Aaron..
Physical Review D.  107 (2023)  8 - p. , 2023
Link: https://doi.org/10.1103/..
 
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4

Posterior predictive checking for gravitational-wave detect..:

Vallisneri, Michele ; Meyers, Patrick M. ; Chatziioannou, Katerina.
Physical Review D.  108 (2023)  12 - p. , 2023
Link: https://doi.org/10.1103/..
 
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5

Assessing the data-analysis impact of LISA orbit approximat..:

Katz, Michael L. ; Bayle, Jean-Baptiste ; Chua, Alvin J. K..
Physical Review D.  106 (2022)  10 - p. , 2022
Link: https://doi.org/10.1103/..
 
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6

Time-delay interferometry without delays:

Vallisneri, Michele ; Bayle, Jean-Baptiste ; Babak, Stanislav.
Physical Review D.  103 (2021)  8 - p. , 2021
Link: https://doi.org/10.1103/..
 
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7

GipsyX/RTGx, a new tool set for space geodetic operations a..:

Bertiger, Willy ; Bar-Sever, Yoaz ; Dorsey, Angie...
Advances in Space Research.  66 (2020)  3 - p. 469-489 , 2020
Link: https://doi.org/10.1016/..
 
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8

Learning Bayesian Posteriors with Neural Networks for Gravi..:

Chua, Alvin J. K. ; Vallisneri, Michele
Physical Review Letters.  124 (2020)  4 - p. , 2020
Link: https://doi.org/10.1103/..
 
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9

Reduced-Order Modeling with Artificial Neurons for Gravitat..:

Chua, Alvin J. K. ; Galley, Chad R. ; Vallisneri, Michele
Physical Review Letters.  122 (2019)  21 - p. , 2019
Link: https://doi.org/10.1103/..
 
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10

Bayesian cross validation for gravitational-wave searches i..:

Vallisneri, Michele ; Taylor, Stephen R ; Wang, Haochen
Monthly Notices of the Royal Astronomical Society.  487 (2019)  3 - p. 3644-3649 , 2019
Link: https://doi.org/10.1093/..
 
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11

Statistical analyses for NANOGrav 5-year timing residuals:

Wang, Yan ; Cordes, James M. ; Jenet, Fredrick A....
Research in Astronomy and Astrophysics.  17 (2017)  2 - p. 19 , 2017
Link: https://doi.org/10.1088/..
 
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12

Taming outliers in pulsar-timing datasets with hierarchical..:

Vallisneri, Michele ; van Haasteren, Rutger
Monthly Notices of the Royal Astronomical Society.  , 2017
Link: https://doi.org/10.1093/..
 
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13

filltex: Automatic queries to ADS and INSPIRE databases to ..:

Gerosa, Davide ; Vallisneri, Michele
The Journal of Open Source Software.  2 (2017)  13 - p. 222 , 2017
Link: https://doi.org/10.21105..
 
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14

The LIGO Open Science Center:

Vallisneri, Michele ; Kanner, Jonah ; Williams, Roy..
Journal of Physics: Conference Series.  610 (2015)  - p. 012021 , 2015
Link: https://doi.org/10.1088/..
 
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15

Bayesian inference for pulsar-timing models:

Vigeland, Sarah J. ; Vallisneri, Michele
Monthly Notices of the Royal Astronomical Society.  440 (2014)  2 - p. 1446-1457 , 2014
Link: https://doi.org/10.1093/..
 
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