標題: Titlebook: An Introduction to Probabilistic Modeling; Pierre Brémaud Textbook 1988 Springer Science+Business Media New York 1988 Branching process.Co [打印本頁] 作者: 悲傷我 時間: 2025-3-21 18:50
書目名稱An Introduction to Probabilistic Modeling影響因子(影響力)
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Textbook 1988Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.作者: anthesis 時間: 2025-3-22 01:42
https://doi.org/10.1007/978-1-4612-1046-7Branching process; Conditional probability; Markov chain; Poisson process; Probability space; Probability作者: 寬大 時間: 2025-3-22 07:15 作者: Forsake 時間: 2025-3-22 12:44
Bibliothek des Bank- und KapitalmarktrechtsIn Probability Theory the basic object is a probability space (Ω.) where作者: 流動性 時間: 2025-3-22 13:54 作者: 消息靈通 時間: 2025-3-22 20:55 作者: Altitude 時間: 2025-3-22 22:25
https://doi.org/10.1007/978-3-662-33078-4The notion of almost-sure convergence of a sequence of random variables.. ≥ 1) toward a random variable. is a very natural one.作者: 越自我 時間: 2025-3-23 04:39
Basic Concepts and Elementary Models,In Probability Theory the basic object is a probability space (Ω.) where作者: Headstrong 時間: 2025-3-23 09:05 作者: 誤傳 時間: 2025-3-23 11:34
Probability Densities,Let.be a real random variable defined on (Ω,.,.with the cumulative distribution function (c.d.f.) (see Chapter 1, Section 3.2)作者: BALE 時間: 2025-3-23 14:04 作者: 租約 時間: 2025-3-23 21:18
https://doi.org/10.1007/978-3-662-45577-7ction of another random vector.= (..…..) of known probability density. The basic tool for doing this is the formula of smooth change of variables in integrals, a result that will be recalled without proof.作者: 直覺沒有 時間: 2025-3-24 02:06 作者: tympanometry 時間: 2025-3-24 03:19 作者: alleviate 時間: 2025-3-24 08:08
Undergraduate Texts in Mathematicshttp://image.papertrans.cn/a/image/155431.jpg作者: 瑣事 時間: 2025-3-24 11:15 作者: Goblet-Cells 時間: 2025-3-24 18:06
0172-6056 xpositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.978-1-4612-6996-0978-1-4612-1046-7Series ISSN 0172-6056 Series E-ISSN 2197-5604 作者: scrape 時間: 2025-3-24 21:40
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