变成小松鼠
发表于 2025-3-21 19:52:12
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BLAND
发表于 2025-3-21 21:47:18
Introduction to Probability and Inference,ity are introduced: classical probability, frequentist and Bayesian approaches, that are more extensively discussed in dedicated chapters. The problem to generalize classical probability to the continuum is discussed, and the axiomatic approach to probability due to Kolmogorov is introduced. The gen
少量
发表于 2025-3-22 03:46:08
Discrete Probability Distributions,statistical indicators: average, variance, etc. The problem of determining the probability distribution under variable transformation is presented. The most frequently used discrete distribution are introduced: Bernoulli, binomial, multinomial and Poisson, and their properties are discussed. The law
Gratuitous
发表于 2025-3-22 04:51:49
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Adj异类的
发表于 2025-3-22 10:41:51
Random Numbers and Monte Carlo Methods,o a chaotic and poorly predictable regime. The main methods to extract pseudorandom numbers distributed according to the desired density function are presented. Monte Carlo methods are introduced, in particular, the hit-or-miss Monte Carlo and importance sampling. The use of Monte Carlo method for n
除草剂
发表于 2025-3-22 16:55:30
Bayesian Probability and Inference,ior and posterior probabilities are defined. The application to the continuous case is presented, and Bayesian inference is introduced, which can also be interpreted as learning process from multiple observations. The treatment of nuisance parameters with Bayesian inference is discussed. Credible in
anus928
发表于 2025-3-22 17:13:25
Frequentist Probability and Inference,hod is maximum likelihood, which is introduced, and its properties are discussed. Best fits using binned and unbinned distributions are presented with examples for different typical cases. Different approaches to estimate uncertainty intervals with maximum likelihood estimates are introduced. The ex
闲荡
发表于 2025-3-22 23:47:24
Combining Measurements,measurements compared to individual ones. Different approaches are presented. When possible, if the complete likelihood function can be determined, a simultaneous fit to the different data sets provides the best combined estimate. If the likelihood function cannot be determined with sufficient accur
和平主义者
发表于 2025-3-23 04:31:19
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Surgeon
发表于 2025-3-23 09:00:10
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