otic-capsule 发表于 2025-3-23 12:48:55

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admission 发表于 2025-3-23 15:07:50

The Matter Spectral Density from Lensed Cosmic Microwave Background Observationsu and Okamoto (ApJ 557:L79–L83, 2001; ApJ 574:566–574, 2002; Phys Rev D 67:083002, 2003). We finish the paper with a discussion regarding the potential scientific applications and the challenges associated with estimating the noise spectrum from simulations.

捕鲸鱼叉 发表于 2025-3-23 18:44:44

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Ingredient 发表于 2025-3-24 01:48:03

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spondylosis 发表于 2025-3-24 02:43:45

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tolerance 发表于 2025-3-24 07:40:20

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Gourmet 发表于 2025-3-24 11:33:38

Robust, Data-Driven Inference in Non-linear Cosmostatisticsedshifts and their number density distribution from approximate, photometric redshift data. The second focuses on cosmic voids and uses them to construct . which allow reconstructing the expansion history of the Universe using the Alcock-Paczynski test. In both cases we find that non-linearities . t

Fraudulent 发表于 2025-3-24 16:08:15

Simulation-Aided Inference in Cosmologynces about cosmological parameters. The first method is a Bayesian calibration approach adapted from Kennedy and O’Hagan (J R Stat Soc B 68:425–464, 2001) and Higdon et al. (J Am Stat Assoc 103:570–583, 2008). It makes use of a response surface model that approximates the simulation output at untrie

collateral 发表于 2025-3-24 20:25:21

Commentary: Simulation-Aided Inference in Cosmologyudy of a set of techniques that are likely to become a standard part of the astrostatistics toolbox. The problems addressed by these techniques models based on expensive computer simulations that run on high-performance computing (HPC) platforms, which can only sparsely sample a large-dimensional in

壕沟 发表于 2025-3-25 01:41:43

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查看完整版本: Titlebook: Statistical Challenges in Modern Astronomy V; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2012 Springer Science+Business Media