ergonomics
发表于 2025-3-21 19:01:48
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commute
发表于 2025-3-21 22:16:14
Linear Algebra,or dealing with multidimensional phenomena, including multivariate statistics that without this language would become awkward and cumbersome. Instead of collecting all the linear algebra definitions and results that will be needed in a comprehensive primer, we introduce them gradually throughout the
混乱生活
发表于 2025-3-22 00:41:20
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山羊
发表于 2025-3-22 07:51:35
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彻底明白
发表于 2025-3-22 12:34:25
The Praise of Ignorance: Randomnessas Lack of Certainty,tion and indirect observations. We adopt here the Bayesian point of view: Any quantity that is not known exactly, in the sense that a value can be attached to it with no uncertainty, is modeled as a random variable. In this sense, randomness means lack of certainty. The subjective part of this appro
STAT
发表于 2025-3-22 12:59:03
Posterior Densities, Ill-Conditioning,and Classical Regularization,er in the Bayesian play of inverse problems, the posterior distribution, and in particular, the posterior density. Bayes’ formula is the way in which prior and likelihood combine into the posterior density. In this chapter, we show through some examples how to explore and analyze posterior distribut
commensurate
发表于 2025-3-22 17:25:53
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飞来飞去真休
发表于 2025-3-22 23:44:22
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Brocas-Area
发表于 2025-3-23 04:18:26
Sampling: The Real Thing,d to calculate estimates of integrals via Monte Carlo integration. It was also indicated that sampling from a non-Gaussian probability density may be a challenging task. In this section we further develop the topic and introduce Markov chain Monte Carlo (MCMC) sampling.
OUTRE
发表于 2025-3-23 07:32:10
Dynamic Methods and Learning from the Past,an essay on Bayes’ work, in which he asked how to assign a subjective probability to the sunrise, given that the sun had been observed to rise a given number of times before. Price’s idea is that we learn from earlier experiences, and update our expectations based on them. The question was revisited