# Recent questions tagged bayesian

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What is abuse of notation in mathematics?
What is abuse of notation in mathematics?What is abuse of notation in mathematics? ...
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What is the general procedure for doing Bayesian inference? Suppose you are interested in some parameter $\theta$.
What is the general procedure for doing Bayesian inference? Suppose you are interested in some parameter $\theta$.What is the general procedure for doing Bayesian inference? Suppose you are interested in some parameter $\theta$. ...
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What is conditional probability?
What is conditional probability?What is conditional probability? ...
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How does Bayesian inference differ from more traditional statistical inference?
How does Bayesian inference differ from more traditional statistical inference?How does Bayesian inference differ from more traditional statistical inference? ...
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Can you explain some of the main concepts of Bayesian Analysis?
Can you explain some of the main concepts of Bayesian Analysis?Can you explain some of the main concepts of Bayesian Analysis? ...
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The following scenario adds data to the previous one. Demonstrate how this new information changes your beliefs and come up with a second hypothesis to explain the data, using mathematical notation.The following scenario adds data to the previous one. Demonstrate how this new information changes your beliefs and come up with a second hypothesis t ...
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Organize the data you observe in the following scenario into a mathematical notation. Then come up with a hypothesis to explain this data:
Organize the data you observe in the following scenario into a mathematical notation. Then come up with a hypothesis to explain this data: Organize the data you observe in the following scenario into a mathematical notation. Then come up with a hypothesis to explain this data: You co ...
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Rewrite the following statements as equations using mathematical notation:
Rewrite the following statements as equations using mathematical notation:Rewrite the following statements as equations using mathematical notation: - The probability of rain is low - The probability of rain given that it i ...
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How is Facebook using Bayesian Optimization with BoTorch?
How is Facebook using Bayesian Optimization with BoTorch? How is Facebook using Bayesian Optimization with BoTorch? ...
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So counterfactual is considered a disjoint set of CATE, rather than a subset?
So counterfactual is considered a disjoint set of CATE, rather than a subset?So counterfactual is considered a disjoint set of CATE, rather than a subset? ...
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What are probabilities?
What are probabilities?What are probabilities? ...
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What is Difference-in-Differences (DiD) in causal inference?
What is Difference-in-Differences (DiD) in causal inference?What is Difference-in-Differences (DiD) in causal inference? ...
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What is the goal of causal inference?
What is the goal of causal inference?What is the goal of causal inference? ...
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When working with Bayesian Networks, how do you find the probabilities in the conditional probability tables?
When working with Bayesian Networks, how do you find the probabilities in the conditional probability tables?When working with Bayesian Networks, how do you find the probabilities in the conditional probability tables? ...
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Why Is Causal Inference Necessary?
Why Is Causal Inference Necessary?Why Is Causal Inference Necessary? ...
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How does one use difference in difference method for causal inference?
How does one use difference in difference method for causal inference?How does one use difference in difference method for causal inference? ...
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Are causal models falsifiable?
Are causal models falsifiable?Are causal models falsifiable? ...
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Under what circumstances are two causal models probabilistically/interventionally equivalent?
Under what circumstances are two causal models probabilistically/interventionally equivalent?Under what circumstances are two causal models probabilistically/interventionally equivalent? ...
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What are the two types of data for causal inference?
What are the two types of data for causal inference?What are the two types of data for causal inference? ...
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What are the two types of causal questions?
What are the two types of causal questions?What are the two types of causal questions? ...
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Why is removing edges in a Bayesian Network equivalent to adding independencies?
Why is removing edges in a Bayesian Network equivalent to adding independencies?Why is removing edges in a Bayesian Network equivalent to adding independencies? ...
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When dealing with DAGs, what is a blocked path?
When dealing with DAGs, what is a blocked path?When dealing with DAGs, what is a blocked path? ...
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In DAGs, do moral colliders exist?
In DAGs, do moral colliders exist?In DAGs, do moral colliders exist? ...
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In DAGs, what happens when you condition on a collider?