Hidden Markov Models 1. Weather Prediction Assume we need to predict Weather conditions of being either sunny, cloudy, o

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Hidden Markov Models 1 Weather Prediction Assume We Need To Predict Weather Conditions Of Being Either Sunny Cloudy O 1 (84.13 KiB) Viewed 17 times

Hidden Markov Models 1. Weather Prediction Assume we need to predict Weather conditions of being either sunny, cloudy, or raining at a certain time point. However, many factors influence the Weather. Specifically, we only consider high and low pressure to affect the weather. Assume that low pressure causes cloudy and rainy Weather with the same probability of 0.4 while sunny Weather have 0.2 of being affected by low pressure. By contrast, high pressure causes sunny, rainy, and cloudy Weather with probability of 0.6,0.3,0.1 respectively. Note that high pressure can go down with probability of 0.7. Once low, it can go up with probability of 0.4 1. Represent the weather situation using a Hidden Markov Model 2. How this model can be used for predicting Weather? give an example of each scenario you propose.