Fetching the paper…
Reading the bibliography…
Extracting the non-Gaussian information encoded in the higher-order clustering statistics of the large-scale structure is key to fully realizing the potential of upcoming galaxy surveys.
1909
Earlier work this paper cites.
1909
Earlier work this paper cites.
1911
Earlier work this paper cites.
1928
Earlier work this paper cites.
M. W. J. Sherman J., “Adjustment of an inverse matrix corresponding to a change in one element of a given matrix,” Ann. Math. Stat
1950
Earlier work this paper cites.
W. M., “Inverting modified matrices,” Statistical Research Group
1950
Earlier work this paper cites.
M. Davis, G. Efstathiou, C. S. Frenk, and S. D. M. White, “The Evolution of Large Scale Structure in a Universe Dominated by Cold Dark Matter,” Astrophys. J
1985
Earlier work this paper cites.
F. Bernardeau, “The Large scale gravitational bias from the quasilinear regime,” Astron. Astrophys
1996
Earlier work this paper cites.
J. F. Navarro, C. S. Frenk, and S. D. M. White, “A Universal density profile from hierarchical clustering,” Astrophys. J
1997
Earlier work this paper cites.
M. Tegmark, A. Taylor, and A. Heavens, “Karhunen-Loeve eigenvalue problems in cosmology: How should we tackle large data sets?,” Astrophys. J
1997
Earlier work this paper cites.
M. Tegmark, “Measuring cosmological parameters with galaxy surveys,” Phys. Rev. Lett
1997
Earlier work this paper cites.
2001
Earlier work this paper cites.
2002
Earlier work this paper cites.
E. Komatsu, D. N. Spergel, and B. D. Wandelt, “Measuring primordial non-Gaussianity in the cosmic microwave background,” Astrophys. J
2005
Earlier work this paper cites.
V. Springel, “The Cosmological simulation code GADGET-2,” Mon. Not. Roy. Astron. Soc
2005
Earlier work this paper cites.
2006
Earlier work this paper cites.
Adaptive computation and machine learning. MIT Press, 2006
C. E. Rasmussen and C. K. I. Williams, Gaussian processes for machine learning · 2006
Earlier work this paper cites.
Z. Zheng, A. L. Coil, and I. Zehavi, “Galaxy Evolution from Halo Occupation Distribution Modeling of DEEP2 and SDSS Galaxy Clustering,” Astrophys. J
2007
Earlier work this paper cites.
J. Hartlap, P. Simon, and P. Schneider, “Why your model parameter confidences might be too optimistic: Unbiased estimation of the inverse covariance matrix,” Astron. Astrophys
2007
Earlier work this paper cites.
2009
Earlier work this paper cites.
2010
Earlier work this paper cites.
M. Schmittfull and A. Moradinezhad Dizgah, “Galaxy skew-spectra in redshift-space,” JCAP
2010
Cited alongside, same era.
2010
Cited alongside, same era.
2012
Cited alongside, same era.
2012
Cited alongside, same era.
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
2018
Later among the works it cites.
M. M. Abidi and T. Baldauf, “Cubic Halo Bias in Eulerian and Lagrangian Space,” JCAP
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2013
Cited alongside, same era.
2013
Cited alongside, same era.
2013
Cited alongside, same era.
2013
Cited alongside, same era.
2015
Cited alongside, same era.
C.-T. Chiang, Position-Dependent Power Spectrum: A New Observable in the Large-Scale Structure · 2015
Cited alongside, same era.
2015
Cited alongside, same era.
2018
Later among the works it cites.
V. Desjacques, D. Jeong, and F. Schmidt, “Large-Scale Galaxy Bias,” Phys. Rept
2018
Later among the works it cites.
2018
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.