Zobrazeno 1 - 10
of 472
pro vyhledávání: '"Meng, Xiao ‐ Li"'
Autor:
Tak, Hyungsuk, Chen, Yang, Kashyap, Vinay L., Mandel, Kaisey S., Meng, Xiao-Li, Siemiginowska, Aneta, van Dyk, David A.
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and variety of astronomical data demand a parallel increase in skill and sophis
Externí odkaz:
http://arxiv.org/abs/2408.16179
Autor:
Craiu, Radu V., Meng, Xiao-Li
This review paper is intended for the Handbook of Markov chain Monte Carlo's second edition. The authors will be grateful for any suggestions that could perfect it.
Externí odkaz:
http://arxiv.org/abs/2401.02518
Monte Carlo integration is fundamental in scientific and statistical computation, but requires reliable samples from the target distribution, which poses a substantial challenge in the case of multi-modal distributions. Existing methods often involve
Externí odkaz:
http://arxiv.org/abs/2401.00667
Two linearly uncorrelated binary variables must be also independent because non-linear dependence cannot manifest with only two possible states. This inherent linearity is the atom of dependency constituting any complex form of relationship. Inspired
Externí odkaz:
http://arxiv.org/abs/2210.10852
This article proposes a set of categories, each one representing a particular distillation of important statistical ideas. Each category is labeled a "sense" because we think of these as essential in helping every statistical mind connect in construc
Externí odkaz:
http://arxiv.org/abs/2204.05313
Spike-and-slab priors are commonly used for Bayesian variable selection, due to their interpretability and favorable statistical properties. However, existing samplers for spike-and-slab posteriors incur prohibitive computational costs when the numbe
Externí odkaz:
http://arxiv.org/abs/2204.01668
Autor:
Marshall, Herman L., Chen, Yang, Drake, Jeremy J., Guainazzi, Matteo, Kashyap, Vinay L., Meng, Xiao-Li, Plucinsky, Paul P., Ratzlaff, Peter, van Dyk, David A., Wang, Xufei
We describe a process for cross-calibrating the effective areas of X-ray telescopes that observe common targets. The targets are not assumed to be "standard candles" in the classic sense, in that we assume that the source fluxes have well-defined, bu
Externí odkaz:
http://arxiv.org/abs/2108.13476
Autor:
Bradley, Valerie C., Kuriwaki, Shiro, Isakov, Michael, Sejdinovic, Dino, Meng, Xiao-Li, Flaxman, Seth
Publikováno v:
Nature 600, 695-700 (2021)
Surveys are a crucial tool for understanding public opinion and behavior, and their accuracy depends on maintaining statistical representativeness of their target populations by minimizing biases from all sources. Increasing data size shrinks confide
Externí odkaz:
http://arxiv.org/abs/2106.05818
Autor:
Li, Xinran, Meng, Xiao-Li
Transitional inference is an empiricism concept, rooted and practiced in clinical medicine since ancient Greece. Knowledge and experiences gained from treating one entity are applied to treat a related but distinctively different one. This notion of
Externí odkaz:
http://arxiv.org/abs/2010.08876
Autor:
Craiu, Radu V., Meng, Xiao-Li
The recently proposed L-lag coupling for unbiased Markov chain Monte Carlo (MCMC) calls for a joint celebration by MCMC practitioners and theoreticians. For practitioners, it circumvents the thorny issue of deciding the burn-in period or when to term
Externí odkaz:
http://arxiv.org/abs/2008.12662