How does an MDP augment a stationary Markov chain?
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How does an MDP augment a stationary Markov chain?
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- What is the prima ry difference between a time-series model and an associative model?Markov process models can be used to describe the probability that a consumer purchasing brand A in one time period 1.will sell brand A in the next period 2. all of the answers are correct. 3.will sell brand A after three time periods 4. will not purchase brand A in the next periodWhat is the primary difference between a time-series model and an associative model?
- Suppose there is a Markov chain with the following transition matrix. 0.1 0.9 P = 0.3 0.7 0.5 0.5 Is this Markov chain a regular Markov chain? Explain you answer.Discuss the differences between a causal model and a time-series model. Be sure to provide examples to illustrate your understanding of these concepts.What is the difference between a causal model and a time-series model?
- Discuss the five general techniques for controlling extraneous variables.How can Markov decision processes provide a powerful tool for optimizing the performance of stochastic processes that can be modeled as a discrete-time?What is the distinction between a dependent variable and an independent variable?