Magnanimous
发表于 2025-3-21 16:31:22
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炸坏
发表于 2025-3-21 20:42:52
Conditioning and Martingales,st supposed to exist, which is true for all random variables taking values in .. Still, conditional expectation is defined in the most general case. A section is dedicated to determining practically conditional distributions and expectations, and another to the linear model in which a random phenome
继而发生
发表于 2025-3-22 01:49:12
Markov Chains,chains generalize sequences of independent random variables to variables linked by a simple dependence relation. They model for example, phase transitions of substances between solid, liquid and gaseous states, passages of systems between up and down states, etc. A random sequence . is a Markov chai
壁画
发表于 2025-3-22 07:05:28
Markov and Semi-Markov Processes,uously counted over the positive real line. Markov processes are continuous-time processes that share the Markov property with the discrete-time Markov chains. Their future evolution conditional to the past depends only on the last occupied state. Their extension to the so-called semi-Markov process
Ordeal
发表于 2025-3-22 09:19:18
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沟通
发表于 2025-3-22 13:45:04
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goodwill
发表于 2025-3-22 17:33:00
Continuous Time Stochastic Processes,A stochastic process represents a system, usually evolving along time, which incorporates an element of randomness, as opposed to a deterministic process.
宽度
发表于 2025-3-22 23:42:51
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nocturnal
发表于 2025-3-23 05:02:26
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EXALT
发表于 2025-3-23 07:30:20
https://doi.org/10.1007/978-3-319-97412-5Probability; Random sequences; Random processes; Markov chains; Semi-Markov processes; Martingales; Stocha